Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector

La Economía Circular (EC) se concibe como un sistema económico basado en modelos de negocio orientados a alcanzar una economía de ciclo cerrado a través de la adopción de los denominados principios de EC o 9R, desacoplando gradualmente el crecimiento del consumo de recursos finitos. Este concepto ha...

Full description

Autores:
Cangrejo Castro, Nathalia
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/79350
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/79350
Palabra clave:
620 - Ingeniería y operaciones afines
Economía Circular
AHP
Indicadores de sostenibilidad
Industria química
Desempeño ambiental
Desarrollo sostenible
Circular Economy
Sustainability Indicators
Chemical Industry
Environmental Performance
Sustainable Development
Sistema económico
Industria química
Desarrollo sostenible
Sustainable Development
Chemical Industry
Economic system
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
id UNACIONAL2_293a5106e3f8e2aff05f975f1b0d4dc2
oai_identifier_str oai:repositorio.unal.edu.co:unal/79350
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
title Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
spellingShingle Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
620 - Ingeniería y operaciones afines
Economía Circular
AHP
Indicadores de sostenibilidad
Industria química
Desempeño ambiental
Desarrollo sostenible
Circular Economy
Sustainability Indicators
Chemical Industry
Environmental Performance
Sustainable Development
Sistema económico
Industria química
Desarrollo sostenible
Sustainable Development
Chemical Industry
Economic system
title_short Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
title_full Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
title_fullStr Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
title_full_unstemmed Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
title_sort Integración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sector
dc.creator.fl_str_mv Cangrejo Castro, Nathalia
dc.contributor.advisor.spa.fl_str_mv Moreno Mantilla, Carlos Eduardo
Cortés Aldana, Félix Antonio
dc.contributor.author.spa.fl_str_mv Cangrejo Castro, Nathalia
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines
topic 620 - Ingeniería y operaciones afines
Economía Circular
AHP
Indicadores de sostenibilidad
Industria química
Desempeño ambiental
Desarrollo sostenible
Circular Economy
Sustainability Indicators
Chemical Industry
Environmental Performance
Sustainable Development
Sistema económico
Industria química
Desarrollo sostenible
Sustainable Development
Chemical Industry
Economic system
dc.subject.proposal.none.fl_str_mv Economía Circular
AHP
Indicadores de sostenibilidad
Industria química
Desempeño ambiental
Desarrollo sostenible
Circular Economy
Sustainability Indicators
Chemical Industry
Environmental Performance
Sustainable Development
dc.subject.unesco.none.fl_str_mv Sistema económico
Industria química
Desarrollo sostenible
Sustainable Development
Chemical Industry
Economic system
description La Economía Circular (EC) se concibe como un sistema económico basado en modelos de negocio orientados a alcanzar una economía de ciclo cerrado a través de la adopción de los denominados principios de EC o 9R, desacoplando gradualmente el crecimiento del consumo de recursos finitos. Este concepto ha cobrado gran trascendencia al percibirse como una forma de aproximarse a un desarrollo sostenible. A pesar del notable interés que despierta y de ser objeto de múltiples estudios, la implementación de la EC aún no es clara, especialmente a nivel de empresas, ya que las soluciones planteadas se centran por lo general en un solo principio, carecen de claridad en su alcance y validación desde su diseño, ocasionando que los tomadores de decisiones no cuenten con herramientas e información suficiente para establecer objetivos de EC adecuados. Estas barreras, que han sido bien definidas en la literatura, también se advierten en la industria química colombiana, donde a pesar de existir el interés por la adopción del modelo, aún no se cuenta con un sistema de medición que favorezca su implementación. Por este motivo, este estudio propone un sistema de indicadores ambientales para medir desempeño de circularidad en empresas de la industria química colombiana. Los principios e indicadores que lo conforman fueron determinados a través de un análisis sistemático de la literatura y un proceso de validación con expertos. Adicionalmente, con el método analítico jerárquico (AHP) fueron asignados los niveles de importancia de todos los elementos del sistema de indicadores. Finalmente, su utilidad fue validada a través de un grupo focal con representantes de la industria. Con los resultados se obtuvo un sistema de medición compuesto por 4 principios (reducir, reutilizar, reciclar y recuperar) y 21 indicadores asociados, que puede ser versátil y ajustarse a 11 indicadores midiendo el 80% del desempeño. Adicionalmente, el estudio ofrece un aporte al conocimiento en términos de una metodología replicable para ser adoptada en el diseño de sistemas de medición de la circularidad para otras industrias.
publishDate 2020
dc.date.issued.spa.fl_str_mv 2020
dc.date.accessioned.spa.fl_str_mv 2021-03-11T23:25:10Z
dc.date.available.spa.fl_str_mv 2021-03-11T23:25:10Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/79350
url https://repositorio.unal.edu.co/handle/unal/79350
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv Accenture. (n.d.). Circular Economy in the European Chemical Industry. Retrieved April 3, 2020, from https://www.accenture.com/us-en/insight-circular-economy-european-chemical-industry
Åkerman, E. (2016). Development of Circular Economy Core Indicators for Natural Resources - Analysis of existing sustainability indicators as a baseline for developing circular economy indicators. www.ima.kth.se
American Chemistry Council. (2019). GUIDE TO THE BUSINESS OF CHEMISTRY 2019.
Aristizábal, M. C. (2018). Estudios sobre la Bioeconomía como fuente de nuevas industrias basadas en el capital natural de Colombia. https://www.dnp.gov.co/Crecimiento-Verde/Documents/ejes-tematicos/Bioeconomia/Informe 2/ANEXO 3_Análisis sector químico.pdf
Ayres, R. U. (1989). Industrial metabolism: Theory and policy. IN INDUSTRIAL. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.8894
Azevedo, S. G., Godina, R., & Matias, J. C. de O. (2017). Proposal of a sustainable circular index for manufacturing companies. Resources, 6(4). https://doi.org/10.3390/resources6040063
Bakshi, B. R. (2019). Sustainable Engineering: Principles and Practice. Cambridge University Press. https://doi.org/10.1017/9781108333726
Bautista, S. (2015). Sustainability assessment of biodiesel production in Colombia [Universidad Nacional de Colombia]. https://www.researchgate.net/publication/324436915_Sustainability_assessment_of_biodiesel_production_in_Colombia
Bell, S., & Morse, S. (n.d.). The role of Sustainability Indicators within evidence-based policy for sustainable development in the European Union. Retrieved April 17, 2019, from https://pdfs.semanticscholar.org/f7f9/ff0ca5f12818660dface289f33b2f11886b3.pdf
Belton, V., & Stewart, T. J. (2002). Multiple Criteria Decision Analysis. Springer US. https://doi.org/10.1007/978-1-4615-1495-4
Bhandari, D., Singh, R. K., & Garg, S. K. (2019). Prioritisation and evaluation of barriers intensity for implementation of cleaner technologies: Framework for sustainable production. Resources, Conservation and Recycling, 146, 156–167. https://doi.org/10.1016/j.resconrec.2019.02.038
Bockstaller, C., & Girardin, P. (2003). How to validate environmental indicators. Agricultural Systems, 76(2), 639–653. https://doi.org/10.1016/S0308-521X(02)00053-7
Boulding, K. (1966). The Economics of the Coming Spaceship Earth. http://www.pym.org/eco-justice-collaborative/wp-content/uploads/sites/58/2016/05/Boulding.pdf
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299–312. https://doi.org/10.1016/j.ejor.2013.09.032
Chacón Vargas, J. R., Moreno Mantilla, C. E., & de Sousa Jabbour, A. B. L. (2018). Enablers of sustainable supply chain management and its effect on competitive advantage in the Colombian context. Resources, Conservation and Recycling, 139, 237–250. https://doi.org/10.1016/j.resconrec.2018.08.018
Colombia Productiva. (2019). SECTOR QUÍMICOS - VISIÓN A 2032. https://www.colombiaproductiva.com/ptp-capacita/publicaciones/sectoriales/publicaciones-quimica-basica/plan-de-negocio-industria-quimica-basica-2019-2032/resumen-plan-de-negocios-del-sector-quimicos
Cong, L., Zhao, F., & Sutherland, J. W. (2019). A Design Method to Improve End-of-Use Product Value Recovery for Circular Economy. Journal of Mechanical Design, Transactions of the ASME, 141(4). https://doi.org/10.1115/1.4041574
Cortés-Aldana, F. A., García-Melón, M., Fernández-de-Lucio, I., Aragonés-Beltrán, P., & Poveda-Bautista, R. (2009). University objectives and socioeconomic results: A multicriteria measuring of alignment. European Journal of Operational Research, 199(3), 811–822. https://doi.org/10.1016/j.ejor.2009.01.065
Cortes Aldana, F.-A., García Melon, M., & Aragones Beltran, P. (2007). Selección de una tecnología de banda ancha para la Universidad Nacional de Colombia - Sede Bogotá, usando una técnica de decisión multicriterio. Ingeniería e Investigación. http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0120-56092007000100017&lng=e&nrm=iso&tlng=e
Daintith, J. (2008). A Dictionary of Chemistry (6 ed) - Squalene. Oxford University Press. https://www.oxfordreference.com/view/10.1093/acref/9780199204632.001.0001/acref-9780199204632
DANE. (2012). CLASIFICACIÓN INDUSTRIAL INTERNACIONAL UNIFORME DE TODAS LAS ACTIVIDADES ECONÓMICAS Revisión 4 adaptada para Colombia CIIU Rev. 4 A.C. https://www.dane.gov.co/files/nomenclaturas/CIIU_Rev4ac.pdf
DECRETO 1713 DE 2002. (2002). http://corponarino.gov.co/expedientes/juridica/2002decreto1713.pdf
Di Maio, F., & Rem, P. ; (2015). A Robust Indicator for Promoting Circular Economy through Recy-cling. Journal of Environmental Protection Citation, 6(6), 1095–1104. https://doi.org/10.4236/jep.2015.610096
DNP. (2018). Estrategia Nacional de Economía Circular Nuevos modelos de negocio, transformación productiva y cierre de ciclos de materiales. https://cempre.org.co/cempre/wp-content/uploads/2018/11/ECONOMÍA-CIRCULAR-1.pdf
EEA. (2016). Circular economy in Europe — Developing the knowledge base. https://www.eea.europa.eu/publications/circular-economy-in-europe
Elia, V., Gnoni, M. G., & Tornese, F. (2017). Measuring circular economy strategies through index methods: A critical analysis. Journal of Cleaner Production, 142, 2741–2751. https://doi.org/10.1016/j.jclepro.2016.10.196
Ellen MacArthur Foundation. (2015). CIRCULARITY INDICATORS An Approach to Measuring Circularity. https://www.ellenmacarthurfoundation.org/assets/downloads/insight/Circularity-Indicators_Project-Overview_May2015.pdf
EMF. (2015a). GROWTH WITHIN: A CIRCULAR ECONOMY VISION FOR A COMPETITIVE EUROPE. https://www.ellenmacarthurfoundation.org/assets/downloads/publications/EllenMacArthurFoundation_Growth-Within_July15.pdf
EMF. (2015b). TOWARDS A CIRCULAR ECONOMY: BUSINESS RATIONALE FOR AN ACCELERATED TRANSITION.
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and Exceptional Performance: Evidence of Maximal Adaptation to Task Constraints. Annual Review of Psychology, 47, 273–305. https://doi.org/10.1146/annurev.psych.47.1.273
Erkman, S. (1997). Industrial ecology: An historical view. Journal of Cleaner Production, 5(1–2), 1–10. https://doi.org/10.1016/S0959-6526(97)00003-6
Fatimah, Y. A., & Biswas, W. (2017). Remanufacturing as pathway for achieving circular economy for Indonesian SMEs. In Smart Innovation, Systems and Technologies (Vol. 68). https://doi.org/10.1007/978-3-319-57078-5_39
García-Bustamante, C. A., Aguilar-Rivera, N., Zepeda-Pirrón, M., & Armendáriz-Arnez, C. (2018). Development of indicators for the sustainability of the sugar industry. Environmental and Socio-Economic Studies, 6(4), 22–38. https://doi.org/10.2478/environ-2018-0025
Geisendorf, S., & Pietrulla, F. (2018). The circular economy and circular economic concepts—a literature analysis and redefinition. Thunderbird International Business Review, 60(5), 771–782. https://doi.org/10.1002/tie.21924
Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017). The Circular Economy – A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048
Geng, Y., Sarkis, J., Ulgiati, S., & Zhang, P. (2013). Measuring China’s Circular Economy. Science, 339(6127), 1526–1527. https://doi.org/10.1126/science.1227059
Geng, Yong, Fu, J., Sarkis, J., & Xue, B. (2012). Towards a national circular economy indicator system in China: an evaluation and critical analysis. Journal of Cleaner Production, 23(1), 216–224. https://doi.org/10.1016/j.jclepro.2011.07.005
Geng, Yong, Zhang, P., Côté, R. P., & Fujita, T. (2009). Assessment of the National Eco-Industrial Park Standard for Promoting Industrial Symbiosis in China. Journal of Industrial Ecology, 13(1), 15–26. https://doi.org/10.1111/j.1530-9290.2008.00071.x
Geng, Yong, Zhu, Q., Doberstein, B., & Fujita, T. (2009). Implementing China’s circular economy concept at the regional level: A review of progress in Dalian, China. Waste Management, 29(2), 996–1002. https://doi.org/10.1016/j.wasman.2008.06.036
Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. C. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega, 66, 344–357. https://doi.org/10.1016/j.omega.2015.05.015
Ghisellini, P., Cialani, C., & Ulgiati, S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, 114, 11–32. https://doi.org/10.1016/j.jclepro.2015.09.007
Gibbs, G. R. (2013). Using software in qualitative analysis. In Sage.
GQSP Colombia. (2019). CONVOCATORIA NACIONAL - PROGRAMA DE APOYO TÉCNICO PARA IMPLEMENTAR BUENAS PRÁCTICAS DE LABORATORIO DE LA ORGANIZACIÓN PARA LA COOPERACIÓN Y DESARROLLO ECONÓMICO (BPL OCDE) EN LABORATORIOS DE ENSAYO (p. 9). https://www.unido.org/sites/default/files/files/2018-04/Buenas-Prácticas-de-
GQSP Colombia. (2020). Higiene y Desinfección: Medidas preventivas para la productividad en tiempos de COVID 19. (p. 19). https://www.colombiaproductiva.com/getattachment/b7e82dd7-5634-44a2-83dc-3170df10cc05/Higiene-y-Desinfeccion-Medidas-preventivas-para-la.aspx
GRI. (2016). Estandares Ambientales. https://www.globalreporting.org/standards/gri-standards-translations/gri-standards-spanish-translations-download-center/
Griffiths, P., & Cayzer, S. (2016). Design of Indicators for Measuring Product Performance in the Circular Economy (pp. 307–321). https://doi.org/10.1007/978-3-319-32098-4_27
Guo-gang, J. (2011). Empirical Analysis of Regional Circular Economy Development--Study Based on Jiangsu, Heilongjiang, Qinghai Province. Energy Procedia, 5, 125–129. https://doi.org/10.1016/J.EGYPRO.2011.03.023
Haas, W., Krausmann, F., Wiedenhofer, D., & Heinz, M. (2015). How Circular is the Global Economy?: An Assessment of Material Flows, Waste Production, and Recycling in the European Union and the World in 2005. Journal of Industrial Ecology, 19(5), 765–777. https://doi.org/10.1111/jiec.12244
Hák, T., Janoušková, S., & Moldan, B. (2016). Sustainable Development Goals: A need for relevant indicators. Ecological Indicators, 60, 565–573. https://doi.org/10.1016/j.ecolind.2015.08.003
Hoffman, R. R., Shadbolt, N. R., Burton, A. M., & Klein, G. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62(2), 129–158. https://doi.org/10.1006/obhd.1995.1039
ICCA. (2019). The Global Chemical Industry: Catalyzing Growth and Addressing Our World’s Sustainability Challenges. Oxford Economics. https://www.oxfordeconomics.com/recent-releases/the-global-chemical-industry-catalyzing-growth-and-addressing-our-world-sustainability-challenges
Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. In Expert Systems with Applications (Vol. 38, Issue 11, pp. 14336–14345). https://doi.org/10.1016/j.eswa.2011.04.143
Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221–232. https://doi.org/10.1016/j.resconrec.2017.09.005
Kitzinger, J. (1994). The methodology of Focus Groups: the importance of interaction between research participants. Sociology of Health and Illness, 16(1), 103–121. https://doi.org/10.1111/1467-9566.ep11347023
Kravchenko, M., Pigosso, D. C., & McAloone, T. C. (2019). Towards the ex-ante sustainability screening of circular economy initiatives in manufacturing companies: Consolidation of leading sustainability-related performance indicators. In Journal of Cleaner Production (Vol. 241, p. 118318). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2019.118318
Kristensen, H. S., & Mosgaard, M. A. (2020). A review of micro level indicators for a circular economy – moving away from the three dimensions of sustainability? In Journal of Cleaner Production (Vol. 243, p. 118531). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2019.118531
Li, N., & Zhao, H. (2016). Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. Journal of Cleaner Production, 135, 169–183. https://doi.org/10.1016/j.jclepro.2016.06.113
Li, R., & Su, C. (2012). Evaluation of the circular economy development level of Chinese chemical enterprises. Procedia Environmental Sciences, 13, 1595–1601. https://doi.org/10.1016/j.proenv.2012.01.151
Liang, W., Zhao, G., & Hong, C. (2018). Performance assessment of circular economy for phosphorus chemical firms based on VIKOR-QUALIFLEX method. Journal of Cleaner Production, 196, 1365–1378. https://doi.org/10.1016/j.jclepro.2018.06.147
Linder, M., Sarasini, S., & van Loon, P. (2017). A Metric for Quantifying Product-Level Circularity. Journal of Industrial Ecology, 21(3), 545–558. https://doi.org/10.1111/jiec.12552
Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003
Marecos Do Monte, M. H. (2007). Water reuse in Europe. http://www.ewa-online.eu/tl_files/_media/content/documents_pdf/Publications/E-WAter/documents/21_2007_07.pdf
Meul, M., Nevens, F., & Reheul, D. (2009). Validating sustainability indicators: Focus on ecological aspects of Flemish dairy farms. Ecological Indicators, 9(2), 284–295. https://www.academia.edu/24367060/Validating_sustainability_indicators_Focus_on_ecological_aspects_of_Flemish_dairy_farms
Mieg, H. A. (2009). Two factors of expertise? Excellence and professionalism of environmental experts. High Ability Studies, 20(1), 91–115. https://doi.org/10.1080/13598130902860432
Ministerio de ambiente. (2005). DECRETO 4741 DE 2005. http://www.corpocaldas.gov.co/publicaciones/1524/02-28/Decreto4741de2005.pdf
Ministerio de ambiente y desarrollo sostenible. (2018). Resolución No 1407. http://www.andi.com.co/Uploads/RES 1407 DE 2018.pdf
Ministerio de ambiente y desarrollo sostenible, & Ministerio de Comercio Industria y Turimos. (2019). Estrategia Nacional de Economía Circular: Cierre de ciclos de materiales, innovación tecnológica, colaboración y nuevos modelos de negocio.
Moraga, G., Huysveld, S., Mathieux, F., Blengini, G. A., Alaerts, L., Van Acker, K., de Meester, S., & Dewulf, J. (2019). Circular economy indicators: What do they measure? Resources, Conservation and Recycling, 146, 452–461. https://doi.org/10.1016/j.resconrec.2019.03.045
Moreno Mantilla, C. E. (2007). Adopción de tecnologías más limpias en firmas industriales: un estudio multimétodo sobre el efecto de la aplicación de límites en vertimiento y tasas retributivas en Santander, Colombia. Cuadernos de Administración, 30. http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0120-35922007000100003&lng=es&nrm=iso&tlng=es
Moriguchi, Y. (2007). Material flow indicators to measure progress toward a sound material-cycle society. Journal of Material Cycles and Waste Management, 9(2), 112–120. https://doi.org/10.1007/s10163-007-0182-0
Niero, M., & Kalbar, P. P. (2019). Coupling material circularity indicators and life cycle based indicators: A proposal to advance the assessment of circular economy strategies at the product level. Resources, Conservation and Recycling, 140, 305–312. https://doi.org/10.1016/j.resconrec.2018.10.002
Nilsson, L., Persson, P. O., Rydén, L., Darozhka, S., & Zaliauskiene, A. (2007). Cleaner Production Assessment. In Cleaner Production: Technologies and Tools for Resource Efficient Production (pp. 71–86). https://books.google.com/books?id=7uXVE3ilk_kC&pgis=1
OECD, G. of S. T. (n.d.). OECD Glossary of Statistical Terms - Renewable natural resources Definition. Retrieved July 10, 2020, from https://stats.oecd.org/glossary/detail.asp?ID=2290
Özcan, T., Elebi, N., & Esnaf, A. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/10.1016/j.eswa.2011.02.022
Ozdemir, M. S. (2005). Validity and inconsistency in the analytic hierarchy process. Applied Mathematics and Computation, 161(3), 707–720. https://doi.org/10.1016/j.amc.2003.12.099
Park, J. Y., & Chertow, M. R. (2014). Establishing and testing the “reuse potential” indicator for managing wastes as resources. Journal of Environmental Management, 137, 45–53. https://doi.org/10.1016/j.jenvman.2013.11.053
Park, K., & Kremer, G. E. O. (2017). Text mining-based categorization and user perspective analysis of environmental sustainability indicators for manufacturing and service systems. Ecological Indicators, 72, 803–820. https://doi.org/10.1016/j.ecolind.2016.08.027
Potting, J., Hekkert, M., Worrell, E., & Hanemaaijer, A. (2017). CIRCULAR ECONOMY: MEASURING INNOVATION IN THE PRODUCT CHAIN Policy Report.
Proops, J. L. R. (1991). Economics of natural resources and the environment. Ecological Economics, 3(3), 263–265. https://doi.org/10.1016/0921-8009(91)90039-H
PubChem. (n.d.). Retrieved June 12, 2020, from https://pubchem.ncbi.nlm.nih.gov/
Qing, Y., Qiongqiong, G., & Mingyue, C. (2011). Study and Integrative Evaluation on the development of Circular Economy of Shaanxi Province. Energy Procedia, 5, 1568–1578. https://doi.org/10.1016/j.egypro.2011.03.268
Reike, D., Vermeulen, W. J. V., & Witjes, S. (2018). The circular economy: New or Refurbished as CE 3.0? — Exploring Controversies in the Conceptualization of the Circular Economy through a Focus on History and Resource Value Retention Options. Resources, Conservation and Recycling, 135, 246–264. https://doi.org/10.1016/j.resconrec.2017.08.027
Rissman, J., Bataille, C., Masanet, E., Aden, N., Morrow, W. R., Zhou, N., Elliott, N., Dell, R., Heeren, N., Huckestein, B., Cresko, J., Miller, S. A., Roy, J., Fennell, P., Cremmins, B., Koch Blank, T., Hone, D., Williams, E. D., de la Rue du Can, S., … Helseth, J. (2020). Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070. In Applied Energy (Vol. 266). Elsevier Ltd. https://doi.org/10.1016/j.apenergy.2020.114848
Rossi, E., Bertassini, A. C., Ferreira, C. dos S., Neves do Amaral, W. A., & Ometto, A. R. (2020). Circular economy indicators for organizations considering sustainability and business models: Plastic, textile and electro-electronic cases. Journal of Cleaner Production, 247, 119137. https://doi.org/10.1016/j.jclepro.2019.119137
Ruiz-Mercado, G. J., Smith, R. L., & Gonzalez, M. A. (2012). Sustainability indicators for chemical processes: I. Taxonomy. Industrial and Engineering Chemistry Research, 51(5), 2309–2328. https://doi.org/10.1021/ie102116e
Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty, T. L. (2002). Decision making with the Analytic Hierarchy Process. Scientia Iranica, 9(3), 215–229. https://doi.org/10.1504/ijssci.2008.017590
Saaty, Thomas L. (1988). What is the Analytic Hierarchy Process? In Mathematical Models for Decision Support (pp. 109–121). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_5
Sabaghi, M., Mascle, C., & Baptiste, P. (2016). Evaluation of products at design phase for an efficient disassembly at end-of-life. Journal of Cleaner Production, 116, 177–186. https://doi.org/10.1016/j.jclepro.2016.01.007
Saidani, M., Yannou, B., Leroy, Y., Cluzel, F., & Kendall, A. (2019). A taxonomy of circular economy indicators. Journal of Cleaner Production, 207, 542–559. https://doi.org/10.1016/j.jclepro.2018.10.014
San Martín Cantero, D. (2014). Teoría fundamentada y Atlas.ti: recursos metodológicos para la investigación educativa. Revista Electrónica de Investigación Educativa. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1607-40412014000100008
Sassanelli, C., Rosa, P., Rocca, R., & Terzi, S. (2019). Circular economy performance assessment methods: A systematic literature review. Journal of Cleaner Production, 229, 440–453. https://doi.org/10.1016/J.JCLEPRO.2019.05.019
Scheepens, A. E., Vogtländer, J. G., & Brezet, J. C. (2016). Two life cycle assessment (LCA) based methods to analyse and design complex (regional) circular economy systems. Case: Making water tourism more sustainable. Journal of Cleaner Production, 114, 257–268. https://doi.org/10.1016/j.jclepro.2015.05.075
Serna, J., Díaz Martinez, E. N., Narváez Rincón, P. C., Camargo, M., Gálvez, D., & Orjuela, Á. (2016). Multi-criteria decision analysis for the selection of sustainable chemical process routes during early design stages. Chemical Engineering Research and Design, 113, 28–49. https://doi.org/10.1016/j.cherd.2016.07.001
Sheldon, R. A. (2017). The E factor 25 years on: the rise of green chemistry and sustainability. Green Chemistry, 19(1), 18–43. https://doi.org/10.1039/C6GC02157C
Shiau, T. A., & Liu, J. S. (2013). Developing an indicator system for local governments to evaluate transport sustainability strategies. Ecological Indicators, 34, 361–371. https://doi.org/10.1016/j.ecolind.2013.06.001
Simons, M. (2017). Comparing industrial cluster cases to define upgrade business models for a circular economy. In Dynamics of Long-Life Assets: From Technology Adaptation to Upgrading the Business Model. https://doi.org/10.1007/978-3-319-45438-2_17
Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2007). Development of composite sustainability performance index for steel industry. Ecological Indicators, 7(3), 565–588. https://doi.org/10.1016/j.ecolind.2006.06.004
Stasser, G., Stewart, D. D., & Wittenbaum, G. M. (1995). Expert roles and information exchange during discussion: The importance of knowing who knows what. Journal of Experimental Social Psychology, 31(3), 244–265. https://doi.org/10.1006/jesp.1995.1012
Su, B., Heshmati, A., Geng, Y., & Yu, X. (2013). A review of the circular economy in China: moving from rhetoric to implementation. Journal of Cleaner Production, 42, 215–227. https://doi.org/10.1016/j.jclepro.2012.11.020
Tong, O., Shao, S., Zhang, Y., Chen, Y., Liu, S. L., & Zhang, S. S. (2012). An AHP-Based water-Conservation and waste-Reduction indicator system for cleaner production of textile-Printing industry in China and technique integration. Clean Technologies and Environmental Policy, 14(5), 857–868. https://doi.org/10.1007/s10098-012-0453-x
Veleva, V., Bodkin, G., & Todorova, S. (2017). The need for better measurement and employee engagement to advance a circular economy: Lessons from Biogen’s “zero waste” journey. Journal of Cleaner Production, 154, 517–529. https://doi.org/10.1016/j.jclepro.2017.03.177
Waas, T., Hugé, J., Block, T., Wright, T., Benitez-Capistros, F., & Verbruggen, A. (2014). Sustainability Assessment and Indicators: Tools in a Decision-Making Strategy for Sustainable Development. Sustainability, 6(9), 5512–5534. https://doi.org/10.3390/su6095512
Wang, R., Chen, Y., & Xu, Z. (2015). Recycling acetic acid from polarizing film of waste liquid crystal display panels by sub/supercritical water treatments. Environmental Science and Technology, 49(10), 5999–6008. https://doi.org/10.1021/acs.est.5b00104
Wedley, W. C. (1993). Consistency prediction for incomplete AHP matrices. Mathematical and Computer Modelling, 17(4–5), 151–161. https://doi.org/10.1016/0895-7177(93)90183-Y
Wen, Z., & Meng, X. (2015). Quantitative assessment of industrial symbiosis for the promotion of circular economy: a case study of the printed circuit boards industry in China’s Suzhou New District. Journal of Cleaner Production, 90, 211–219. https://doi.org/10.1016/J.JCLEPRO.2014.03.041
Yang, B., & Wyman, C. E. (2008). Pretreatment: The key to unlocking low-cost cellulosic ethanol. In Biofuels, Bioproducts and Biorefining (Vol. 2, Issue 1, pp. 26–40). https://doi.org/10.1002/bbb.49
Yang, Z., Chu, T., Han, L., Liu, X., Xiao, W., & Huang, G. (2013). Application of GC-TOPSIS on optimizing choice of utilization programs of crop straw. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 29(20), 179–191. https://doi.org/10.3969/j.issn.1002-6819.2013.20.024
Yuan, Z., Bi, J., & Moriguichi, Y. (2008). The Circular Economy: A New Development Strategy in China. Journal of Industrial Ecology, 10(1–2), 4–8. https://doi.org/10.1162/108819806775545321
Zaman, A. U., & Lehmann, S. (2013). The zero waste index: a performance measurement tool for waste management systems in a ‘zero waste city.’ Journal of Cleaner Production, 50, 123–132. https://doi.org/10.1016/j.jclepro.2012.11.041
Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A.-R. (2015). Design and Implementation Content Validity Study: Development of an instrument for measuring Patient-Centered Communication. Journal of Caring Sciences, 4(2), 165–178. https://doi.org/10.15171/jcs.2015.017
Zheng, J., Huang, Y., & Wang, Z. (2012). Study on establishment and application of circular economy evaluation index system for the chemical industry. In Advanced Materials Research (Vols. 524–527, pp. 3455–3458). https://doi.org/10.4028/www.scientific.net/AMR.524-527.3455
Zhijun, F., & Nailing, Y. (2007). Putting a circular economy into practice in China. Sustainability Science, 2(1), 95–101. https://doi.org/10.1007/s11625-006-0018-1
Zhu, Q., & Sarkis, J. (2007). The moderating effects of institutional pressures on emergent green supply chain practices and performance. International Journal of Production Research, 45(18–19), 4333–4355. https://doi.org/10.1080/00207540701440345
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 1 recurso en línea (206 páginas)
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Industrial
dc.publisher.department.spa.fl_str_mv Departamento de Ingeniería de Sistemas e Industrial
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv Bogotá
dc.publisher.branch.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/79350/1/1032457348.2020.pdf
https://repositorio.unal.edu.co/bitstream/unal/79350/2/license.txt
https://repositorio.unal.edu.co/bitstream/unal/79350/3/1032457348.2020.pdf.jpg
bitstream.checksum.fl_str_mv 3085f28515d24eb0851dd1c102aa1d1a
cccfe52f796b7c63423298c2d3365fc6
a33eadebfe7a037e916bb17c13ca2872
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 1814089780169801728
spelling Atribución-NoComercial-SinDerivadas 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Moreno Mantilla, Carlos Eduardod4b1f9fa-ed34-4b98-ba8b-3a675c78e031Cortés Aldana, Félix Antonio55dca3f1-fea3-4047-8d12-ad187c82d00d600Cangrejo Castro, Nathaliadbe9cac0-e1b4-4247-9edc-09fbae8ec0112021-03-11T23:25:10Z2021-03-11T23:25:10Z2020https://repositorio.unal.edu.co/handle/unal/79350La Economía Circular (EC) se concibe como un sistema económico basado en modelos de negocio orientados a alcanzar una economía de ciclo cerrado a través de la adopción de los denominados principios de EC o 9R, desacoplando gradualmente el crecimiento del consumo de recursos finitos. Este concepto ha cobrado gran trascendencia al percibirse como una forma de aproximarse a un desarrollo sostenible. A pesar del notable interés que despierta y de ser objeto de múltiples estudios, la implementación de la EC aún no es clara, especialmente a nivel de empresas, ya que las soluciones planteadas se centran por lo general en un solo principio, carecen de claridad en su alcance y validación desde su diseño, ocasionando que los tomadores de decisiones no cuenten con herramientas e información suficiente para establecer objetivos de EC adecuados. Estas barreras, que han sido bien definidas en la literatura, también se advierten en la industria química colombiana, donde a pesar de existir el interés por la adopción del modelo, aún no se cuenta con un sistema de medición que favorezca su implementación. Por este motivo, este estudio propone un sistema de indicadores ambientales para medir desempeño de circularidad en empresas de la industria química colombiana. Los principios e indicadores que lo conforman fueron determinados a través de un análisis sistemático de la literatura y un proceso de validación con expertos. Adicionalmente, con el método analítico jerárquico (AHP) fueron asignados los niveles de importancia de todos los elementos del sistema de indicadores. Finalmente, su utilidad fue validada a través de un grupo focal con representantes de la industria. Con los resultados se obtuvo un sistema de medición compuesto por 4 principios (reducir, reutilizar, reciclar y recuperar) y 21 indicadores asociados, que puede ser versátil y ajustarse a 11 indicadores midiendo el 80% del desempeño. Adicionalmente, el estudio ofrece un aporte al conocimiento en términos de una metodología replicable para ser adoptada en el diseño de sistemas de medición de la circularidad para otras industrias.The Circular Economy (CE) is a new economic system based on business models aimed at achieving closed loop economy through the adoption of the so-called 9R or CE principles, gradually decoupling growth from consumption of finite resources. This concept has become very important as it is perceived as a means of achieving sustainable development. While CE has gained strong interest and has been the subject of multiple studies, its implementation is not clear yet, particularly at the company level, as the solutions proposed generally focus on a single principle of circularity and lack clarity of scope and design validation, hence leaving decision makers without sufficient tools and information to establish adequate CE objectives. These barriers have been well defined in the literature and can be also seen in the Colombian chemical industry, where despite strong interest in the adoption of this model, there is still no measurement system to support its implementation. For this reason, this study proposes an environmental indicator system to measure circularity performance in companies in the Colombian chemical industry. The principles and indicators that comprise it were determined through a systematic analysis of the literature and a validation process with experts. In addition, the importance levels of all the elements of the system were assigned using the Analytic Hierarchy Process (AHP). Finally, its usefulness was validated through a Focus Group with industry representatives. With the results, a measurement system comprised of 4 principles (reduce, reuse, recycle and recover) and 21 associated indicators was obtained, which can be versatile and can be adjusted to just 11 indicators that measure 80% of the performance. In addition, the study offers a contribution to the knowledge with a replicable methodology to be adopted in the design of circularity’s measurement systems for other industries.MaestríaGestión de operaciones1 recurso en línea (206 páginas)application/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería IndustrialDepartamento de Ingeniería de Sistemas e IndustrialFacultad de IngenieríaBogotáUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afinesEconomía CircularAHPIndicadores de sostenibilidadIndustria químicaDesempeño ambientalDesarrollo sostenibleCircular EconomySustainability IndicatorsChemical IndustryEnvironmental PerformanceSustainable DevelopmentSistema económicoIndustria químicaDesarrollo sostenibleSustainable DevelopmentChemical IndustryEconomic systemIntegración de economía circular en la industria química colombiana: Propuesta de un sistema de indicadores de desempeño ambiental para medir la circularidad en empresas del sectorTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAccenture. (n.d.). Circular Economy in the European Chemical Industry. Retrieved April 3, 2020, from https://www.accenture.com/us-en/insight-circular-economy-european-chemical-industryÅkerman, E. (2016). Development of Circular Economy Core Indicators for Natural Resources - Analysis of existing sustainability indicators as a baseline for developing circular economy indicators. www.ima.kth.seAmerican Chemistry Council. (2019). GUIDE TO THE BUSINESS OF CHEMISTRY 2019.Aristizábal, M. C. (2018). Estudios sobre la Bioeconomía como fuente de nuevas industrias basadas en el capital natural de Colombia. https://www.dnp.gov.co/Crecimiento-Verde/Documents/ejes-tematicos/Bioeconomia/Informe 2/ANEXO 3_Análisis sector químico.pdfAyres, R. U. (1989). Industrial metabolism: Theory and policy. IN INDUSTRIAL. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.8894Azevedo, S. G., Godina, R., & Matias, J. C. de O. (2017). Proposal of a sustainable circular index for manufacturing companies. Resources, 6(4). https://doi.org/10.3390/resources6040063Bakshi, B. R. (2019). Sustainable Engineering: Principles and Practice. Cambridge University Press. https://doi.org/10.1017/9781108333726Bautista, S. (2015). Sustainability assessment of biodiesel production in Colombia [Universidad Nacional de Colombia]. https://www.researchgate.net/publication/324436915_Sustainability_assessment_of_biodiesel_production_in_ColombiaBell, S., & Morse, S. (n.d.). The role of Sustainability Indicators within evidence-based policy for sustainable development in the European Union. Retrieved April 17, 2019, from https://pdfs.semanticscholar.org/f7f9/ff0ca5f12818660dface289f33b2f11886b3.pdfBelton, V., & Stewart, T. J. (2002). Multiple Criteria Decision Analysis. Springer US. https://doi.org/10.1007/978-1-4615-1495-4Bhandari, D., Singh, R. K., & Garg, S. K. (2019). Prioritisation and evaluation of barriers intensity for implementation of cleaner technologies: Framework for sustainable production. Resources, Conservation and Recycling, 146, 156–167. https://doi.org/10.1016/j.resconrec.2019.02.038Bockstaller, C., & Girardin, P. (2003). How to validate environmental indicators. Agricultural Systems, 76(2), 639–653. https://doi.org/10.1016/S0308-521X(02)00053-7Boulding, K. (1966). The Economics of the Coming Spaceship Earth. http://www.pym.org/eco-justice-collaborative/wp-content/uploads/sites/58/2016/05/Boulding.pdfBrandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299–312. https://doi.org/10.1016/j.ejor.2013.09.032Chacón Vargas, J. R., Moreno Mantilla, C. E., & de Sousa Jabbour, A. B. L. (2018). Enablers of sustainable supply chain management and its effect on competitive advantage in the Colombian context. Resources, Conservation and Recycling, 139, 237–250. https://doi.org/10.1016/j.resconrec.2018.08.018Colombia Productiva. (2019). SECTOR QUÍMICOS - VISIÓN A 2032. https://www.colombiaproductiva.com/ptp-capacita/publicaciones/sectoriales/publicaciones-quimica-basica/plan-de-negocio-industria-quimica-basica-2019-2032/resumen-plan-de-negocios-del-sector-quimicosCong, L., Zhao, F., & Sutherland, J. W. (2019). A Design Method to Improve End-of-Use Product Value Recovery for Circular Economy. Journal of Mechanical Design, Transactions of the ASME, 141(4). https://doi.org/10.1115/1.4041574Cortés-Aldana, F. A., García-Melón, M., Fernández-de-Lucio, I., Aragonés-Beltrán, P., & Poveda-Bautista, R. (2009). University objectives and socioeconomic results: A multicriteria measuring of alignment. European Journal of Operational Research, 199(3), 811–822. https://doi.org/10.1016/j.ejor.2009.01.065Cortes Aldana, F.-A., García Melon, M., & Aragones Beltran, P. (2007). Selección de una tecnología de banda ancha para la Universidad Nacional de Colombia - Sede Bogotá, usando una técnica de decisión multicriterio. Ingeniería e Investigación. http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0120-56092007000100017&lng=e&nrm=iso&tlng=eDaintith, J. (2008). A Dictionary of Chemistry (6 ed) - Squalene. Oxford University Press. https://www.oxfordreference.com/view/10.1093/acref/9780199204632.001.0001/acref-9780199204632DANE. (2012). CLASIFICACIÓN INDUSTRIAL INTERNACIONAL UNIFORME DE TODAS LAS ACTIVIDADES ECONÓMICAS Revisión 4 adaptada para Colombia CIIU Rev. 4 A.C. https://www.dane.gov.co/files/nomenclaturas/CIIU_Rev4ac.pdfDECRETO 1713 DE 2002. (2002). http://corponarino.gov.co/expedientes/juridica/2002decreto1713.pdfDi Maio, F., & Rem, P. ; (2015). A Robust Indicator for Promoting Circular Economy through Recy-cling. Journal of Environmental Protection Citation, 6(6), 1095–1104. https://doi.org/10.4236/jep.2015.610096DNP. (2018). Estrategia Nacional de Economía Circular Nuevos modelos de negocio, transformación productiva y cierre de ciclos de materiales. https://cempre.org.co/cempre/wp-content/uploads/2018/11/ECONOMÍA-CIRCULAR-1.pdfEEA. (2016). Circular economy in Europe — Developing the knowledge base. https://www.eea.europa.eu/publications/circular-economy-in-europeElia, V., Gnoni, M. G., & Tornese, F. (2017). Measuring circular economy strategies through index methods: A critical analysis. Journal of Cleaner Production, 142, 2741–2751. https://doi.org/10.1016/j.jclepro.2016.10.196Ellen MacArthur Foundation. (2015). CIRCULARITY INDICATORS An Approach to Measuring Circularity. https://www.ellenmacarthurfoundation.org/assets/downloads/insight/Circularity-Indicators_Project-Overview_May2015.pdfEMF. (2015a). GROWTH WITHIN: A CIRCULAR ECONOMY VISION FOR A COMPETITIVE EUROPE. https://www.ellenmacarthurfoundation.org/assets/downloads/publications/EllenMacArthurFoundation_Growth-Within_July15.pdfEMF. (2015b). TOWARDS A CIRCULAR ECONOMY: BUSINESS RATIONALE FOR AN ACCELERATED TRANSITION.Ericsson, K. A., & Lehmann, A. C. (1996). Expert and Exceptional Performance: Evidence of Maximal Adaptation to Task Constraints. Annual Review of Psychology, 47, 273–305. https://doi.org/10.1146/annurev.psych.47.1.273Erkman, S. (1997). Industrial ecology: An historical view. Journal of Cleaner Production, 5(1–2), 1–10. https://doi.org/10.1016/S0959-6526(97)00003-6Fatimah, Y. A., & Biswas, W. (2017). Remanufacturing as pathway for achieving circular economy for Indonesian SMEs. In Smart Innovation, Systems and Technologies (Vol. 68). https://doi.org/10.1007/978-3-319-57078-5_39García-Bustamante, C. A., Aguilar-Rivera, N., Zepeda-Pirrón, M., & Armendáriz-Arnez, C. (2018). Development of indicators for the sustainability of the sugar industry. Environmental and Socio-Economic Studies, 6(4), 22–38. https://doi.org/10.2478/environ-2018-0025Geisendorf, S., & Pietrulla, F. (2018). The circular economy and circular economic concepts—a literature analysis and redefinition. Thunderbird International Business Review, 60(5), 771–782. https://doi.org/10.1002/tie.21924Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017). The Circular Economy – A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048Geng, Y., Sarkis, J., Ulgiati, S., & Zhang, P. (2013). Measuring China’s Circular Economy. Science, 339(6127), 1526–1527. https://doi.org/10.1126/science.1227059Geng, Yong, Fu, J., Sarkis, J., & Xue, B. (2012). Towards a national circular economy indicator system in China: an evaluation and critical analysis. Journal of Cleaner Production, 23(1), 216–224. https://doi.org/10.1016/j.jclepro.2011.07.005Geng, Yong, Zhang, P., Côté, R. P., & Fujita, T. (2009). Assessment of the National Eco-Industrial Park Standard for Promoting Industrial Symbiosis in China. Journal of Industrial Ecology, 13(1), 15–26. https://doi.org/10.1111/j.1530-9290.2008.00071.xGeng, Yong, Zhu, Q., Doberstein, B., & Fujita, T. (2009). Implementing China’s circular economy concept at the regional level: A review of progress in Dalian, China. Waste Management, 29(2), 996–1002. https://doi.org/10.1016/j.wasman.2008.06.036Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. C. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega, 66, 344–357. https://doi.org/10.1016/j.omega.2015.05.015Ghisellini, P., Cialani, C., & Ulgiati, S. (2016). A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems. Journal of Cleaner Production, 114, 11–32. https://doi.org/10.1016/j.jclepro.2015.09.007Gibbs, G. R. (2013). Using software in qualitative analysis. In Sage.GQSP Colombia. (2019). CONVOCATORIA NACIONAL - PROGRAMA DE APOYO TÉCNICO PARA IMPLEMENTAR BUENAS PRÁCTICAS DE LABORATORIO DE LA ORGANIZACIÓN PARA LA COOPERACIÓN Y DESARROLLO ECONÓMICO (BPL OCDE) EN LABORATORIOS DE ENSAYO (p. 9). https://www.unido.org/sites/default/files/files/2018-04/Buenas-Prácticas-de-GQSP Colombia. (2020). Higiene y Desinfección: Medidas preventivas para la productividad en tiempos de COVID 19. (p. 19). https://www.colombiaproductiva.com/getattachment/b7e82dd7-5634-44a2-83dc-3170df10cc05/Higiene-y-Desinfeccion-Medidas-preventivas-para-la.aspxGRI. (2016). Estandares Ambientales. https://www.globalreporting.org/standards/gri-standards-translations/gri-standards-spanish-translations-download-center/Griffiths, P., & Cayzer, S. (2016). Design of Indicators for Measuring Product Performance in the Circular Economy (pp. 307–321). https://doi.org/10.1007/978-3-319-32098-4_27Guo-gang, J. (2011). Empirical Analysis of Regional Circular Economy Development--Study Based on Jiangsu, Heilongjiang, Qinghai Province. Energy Procedia, 5, 125–129. https://doi.org/10.1016/J.EGYPRO.2011.03.023Haas, W., Krausmann, F., Wiedenhofer, D., & Heinz, M. (2015). How Circular is the Global Economy?: An Assessment of Material Flows, Waste Production, and Recycling in the European Union and the World in 2005. Journal of Industrial Ecology, 19(5), 765–777. https://doi.org/10.1111/jiec.12244Hák, T., Janoušková, S., & Moldan, B. (2016). Sustainable Development Goals: A need for relevant indicators. Ecological Indicators, 60, 565–573. https://doi.org/10.1016/j.ecolind.2015.08.003Hoffman, R. R., Shadbolt, N. R., Burton, A. M., & Klein, G. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62(2), 129–158. https://doi.org/10.1006/obhd.1995.1039ICCA. (2019). The Global Chemical Industry: Catalyzing Growth and Addressing Our World’s Sustainability Challenges. Oxford Economics. https://www.oxfordeconomics.com/recent-releases/the-global-chemical-industry-catalyzing-growth-and-addressing-our-world-sustainability-challengesIshizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. In Expert Systems with Applications (Vol. 38, Issue 11, pp. 14336–14345). https://doi.org/10.1016/j.eswa.2011.04.143Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221–232. https://doi.org/10.1016/j.resconrec.2017.09.005Kitzinger, J. (1994). The methodology of Focus Groups: the importance of interaction between research participants. Sociology of Health and Illness, 16(1), 103–121. https://doi.org/10.1111/1467-9566.ep11347023Kravchenko, M., Pigosso, D. C., & McAloone, T. C. (2019). Towards the ex-ante sustainability screening of circular economy initiatives in manufacturing companies: Consolidation of leading sustainability-related performance indicators. In Journal of Cleaner Production (Vol. 241, p. 118318). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2019.118318Kristensen, H. S., & Mosgaard, M. A. (2020). A review of micro level indicators for a circular economy – moving away from the three dimensions of sustainability? In Journal of Cleaner Production (Vol. 243, p. 118531). Elsevier Ltd. https://doi.org/10.1016/j.jclepro.2019.118531Li, N., & Zhao, H. (2016). Performance evaluation of eco-industrial thermal power plants by using fuzzy GRA-VIKOR and combination weighting techniques. Journal of Cleaner Production, 135, 169–183. https://doi.org/10.1016/j.jclepro.2016.06.113Li, R., & Su, C. (2012). Evaluation of the circular economy development level of Chinese chemical enterprises. Procedia Environmental Sciences, 13, 1595–1601. https://doi.org/10.1016/j.proenv.2012.01.151Liang, W., Zhao, G., & Hong, C. (2018). Performance assessment of circular economy for phosphorus chemical firms based on VIKOR-QUALIFLEX method. Journal of Cleaner Production, 196, 1365–1378. https://doi.org/10.1016/j.jclepro.2018.06.147Linder, M., Sarasini, S., & van Loon, P. (2017). A Metric for Quantifying Product-Level Circularity. Journal of Industrial Ecology, 21(3), 545–558. https://doi.org/10.1111/jiec.12552Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003Marecos Do Monte, M. H. (2007). Water reuse in Europe. http://www.ewa-online.eu/tl_files/_media/content/documents_pdf/Publications/E-WAter/documents/21_2007_07.pdfMeul, M., Nevens, F., & Reheul, D. (2009). Validating sustainability indicators: Focus on ecological aspects of Flemish dairy farms. Ecological Indicators, 9(2), 284–295. https://www.academia.edu/24367060/Validating_sustainability_indicators_Focus_on_ecological_aspects_of_Flemish_dairy_farmsMieg, H. A. (2009). Two factors of expertise? Excellence and professionalism of environmental experts. High Ability Studies, 20(1), 91–115. https://doi.org/10.1080/13598130902860432Ministerio de ambiente. (2005). DECRETO 4741 DE 2005. http://www.corpocaldas.gov.co/publicaciones/1524/02-28/Decreto4741de2005.pdfMinisterio de ambiente y desarrollo sostenible. (2018). Resolución No 1407. http://www.andi.com.co/Uploads/RES 1407 DE 2018.pdfMinisterio de ambiente y desarrollo sostenible, & Ministerio de Comercio Industria y Turimos. (2019). Estrategia Nacional de Economía Circular: Cierre de ciclos de materiales, innovación tecnológica, colaboración y nuevos modelos de negocio.Moraga, G., Huysveld, S., Mathieux, F., Blengini, G. A., Alaerts, L., Van Acker, K., de Meester, S., & Dewulf, J. (2019). Circular economy indicators: What do they measure? Resources, Conservation and Recycling, 146, 452–461. https://doi.org/10.1016/j.resconrec.2019.03.045Moreno Mantilla, C. E. (2007). Adopción de tecnologías más limpias en firmas industriales: un estudio multimétodo sobre el efecto de la aplicación de límites en vertimiento y tasas retributivas en Santander, Colombia. Cuadernos de Administración, 30. http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0120-35922007000100003&lng=es&nrm=iso&tlng=esMoriguchi, Y. (2007). Material flow indicators to measure progress toward a sound material-cycle society. Journal of Material Cycles and Waste Management, 9(2), 112–120. https://doi.org/10.1007/s10163-007-0182-0Niero, M., & Kalbar, P. P. (2019). Coupling material circularity indicators and life cycle based indicators: A proposal to advance the assessment of circular economy strategies at the product level. Resources, Conservation and Recycling, 140, 305–312. https://doi.org/10.1016/j.resconrec.2018.10.002Nilsson, L., Persson, P. O., Rydén, L., Darozhka, S., & Zaliauskiene, A. (2007). Cleaner Production Assessment. In Cleaner Production: Technologies and Tools for Resource Efficient Production (pp. 71–86). https://books.google.com/books?id=7uXVE3ilk_kC&pgis=1OECD, G. of S. T. (n.d.). OECD Glossary of Statistical Terms - Renewable natural resources Definition. Retrieved July 10, 2020, from https://stats.oecd.org/glossary/detail.asp?ID=2290Özcan, T., Elebi, N., & Esnaf, A. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/10.1016/j.eswa.2011.02.022Ozdemir, M. S. (2005). Validity and inconsistency in the analytic hierarchy process. Applied Mathematics and Computation, 161(3), 707–720. https://doi.org/10.1016/j.amc.2003.12.099Park, J. Y., & Chertow, M. R. (2014). Establishing and testing the “reuse potential” indicator for managing wastes as resources. Journal of Environmental Management, 137, 45–53. https://doi.org/10.1016/j.jenvman.2013.11.053Park, K., & Kremer, G. E. O. (2017). Text mining-based categorization and user perspective analysis of environmental sustainability indicators for manufacturing and service systems. Ecological Indicators, 72, 803–820. https://doi.org/10.1016/j.ecolind.2016.08.027Potting, J., Hekkert, M., Worrell, E., & Hanemaaijer, A. (2017). CIRCULAR ECONOMY: MEASURING INNOVATION IN THE PRODUCT CHAIN Policy Report.Proops, J. L. R. (1991). Economics of natural resources and the environment. Ecological Economics, 3(3), 263–265. https://doi.org/10.1016/0921-8009(91)90039-HPubChem. (n.d.). Retrieved June 12, 2020, from https://pubchem.ncbi.nlm.nih.gov/Qing, Y., Qiongqiong, G., & Mingyue, C. (2011). Study and Integrative Evaluation on the development of Circular Economy of Shaanxi Province. Energy Procedia, 5, 1568–1578. https://doi.org/10.1016/j.egypro.2011.03.268Reike, D., Vermeulen, W. J. V., & Witjes, S. (2018). The circular economy: New or Refurbished as CE 3.0? — Exploring Controversies in the Conceptualization of the Circular Economy through a Focus on History and Resource Value Retention Options. Resources, Conservation and Recycling, 135, 246–264. https://doi.org/10.1016/j.resconrec.2017.08.027Rissman, J., Bataille, C., Masanet, E., Aden, N., Morrow, W. R., Zhou, N., Elliott, N., Dell, R., Heeren, N., Huckestein, B., Cresko, J., Miller, S. A., Roy, J., Fennell, P., Cremmins, B., Koch Blank, T., Hone, D., Williams, E. D., de la Rue du Can, S., … Helseth, J. (2020). Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070. In Applied Energy (Vol. 266). Elsevier Ltd. https://doi.org/10.1016/j.apenergy.2020.114848Rossi, E., Bertassini, A. C., Ferreira, C. dos S., Neves do Amaral, W. A., & Ometto, A. R. (2020). Circular economy indicators for organizations considering sustainability and business models: Plastic, textile and electro-electronic cases. Journal of Cleaner Production, 247, 119137. https://doi.org/10.1016/j.jclepro.2019.119137Ruiz-Mercado, G. J., Smith, R. L., & Gonzalez, M. A. (2012). Sustainability indicators for chemical processes: I. Taxonomy. Industrial and Engineering Chemistry Research, 51(5), 2309–2328. https://doi.org/10.1021/ie102116eSaaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8Saaty, T. L. (2002). Decision making with the Analytic Hierarchy Process. Scientia Iranica, 9(3), 215–229. https://doi.org/10.1504/ijssci.2008.017590Saaty, Thomas L. (1988). What is the Analytic Hierarchy Process? In Mathematical Models for Decision Support (pp. 109–121). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_5Sabaghi, M., Mascle, C., & Baptiste, P. (2016). Evaluation of products at design phase for an efficient disassembly at end-of-life. Journal of Cleaner Production, 116, 177–186. https://doi.org/10.1016/j.jclepro.2016.01.007Saidani, M., Yannou, B., Leroy, Y., Cluzel, F., & Kendall, A. (2019). A taxonomy of circular economy indicators. Journal of Cleaner Production, 207, 542–559. https://doi.org/10.1016/j.jclepro.2018.10.014San Martín Cantero, D. (2014). Teoría fundamentada y Atlas.ti: recursos metodológicos para la investigación educativa. Revista Electrónica de Investigación Educativa. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1607-40412014000100008Sassanelli, C., Rosa, P., Rocca, R., & Terzi, S. (2019). Circular economy performance assessment methods: A systematic literature review. Journal of Cleaner Production, 229, 440–453. https://doi.org/10.1016/J.JCLEPRO.2019.05.019Scheepens, A. E., Vogtländer, J. G., & Brezet, J. C. (2016). Two life cycle assessment (LCA) based methods to analyse and design complex (regional) circular economy systems. Case: Making water tourism more sustainable. Journal of Cleaner Production, 114, 257–268. https://doi.org/10.1016/j.jclepro.2015.05.075Serna, J., Díaz Martinez, E. N., Narváez Rincón, P. C., Camargo, M., Gálvez, D., & Orjuela, Á. (2016). Multi-criteria decision analysis for the selection of sustainable chemical process routes during early design stages. Chemical Engineering Research and Design, 113, 28–49. https://doi.org/10.1016/j.cherd.2016.07.001Sheldon, R. A. (2017). The E factor 25 years on: the rise of green chemistry and sustainability. Green Chemistry, 19(1), 18–43. https://doi.org/10.1039/C6GC02157CShiau, T. A., & Liu, J. S. (2013). Developing an indicator system for local governments to evaluate transport sustainability strategies. Ecological Indicators, 34, 361–371. https://doi.org/10.1016/j.ecolind.2013.06.001Simons, M. (2017). Comparing industrial cluster cases to define upgrade business models for a circular economy. In Dynamics of Long-Life Assets: From Technology Adaptation to Upgrading the Business Model. https://doi.org/10.1007/978-3-319-45438-2_17Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2007). Development of composite sustainability performance index for steel industry. Ecological Indicators, 7(3), 565–588. https://doi.org/10.1016/j.ecolind.2006.06.004Stasser, G., Stewart, D. D., & Wittenbaum, G. M. (1995). Expert roles and information exchange during discussion: The importance of knowing who knows what. Journal of Experimental Social Psychology, 31(3), 244–265. https://doi.org/10.1006/jesp.1995.1012Su, B., Heshmati, A., Geng, Y., & Yu, X. (2013). A review of the circular economy in China: moving from rhetoric to implementation. Journal of Cleaner Production, 42, 215–227. https://doi.org/10.1016/j.jclepro.2012.11.020Tong, O., Shao, S., Zhang, Y., Chen, Y., Liu, S. L., & Zhang, S. S. (2012). An AHP-Based water-Conservation and waste-Reduction indicator system for cleaner production of textile-Printing industry in China and technique integration. Clean Technologies and Environmental Policy, 14(5), 857–868. https://doi.org/10.1007/s10098-012-0453-xVeleva, V., Bodkin, G., & Todorova, S. (2017). The need for better measurement and employee engagement to advance a circular economy: Lessons from Biogen’s “zero waste” journey. Journal of Cleaner Production, 154, 517–529. https://doi.org/10.1016/j.jclepro.2017.03.177Waas, T., Hugé, J., Block, T., Wright, T., Benitez-Capistros, F., & Verbruggen, A. (2014). Sustainability Assessment and Indicators: Tools in a Decision-Making Strategy for Sustainable Development. Sustainability, 6(9), 5512–5534. https://doi.org/10.3390/su6095512Wang, R., Chen, Y., & Xu, Z. (2015). Recycling acetic acid from polarizing film of waste liquid crystal display panels by sub/supercritical water treatments. Environmental Science and Technology, 49(10), 5999–6008. https://doi.org/10.1021/acs.est.5b00104Wedley, W. C. (1993). Consistency prediction for incomplete AHP matrices. Mathematical and Computer Modelling, 17(4–5), 151–161. https://doi.org/10.1016/0895-7177(93)90183-YWen, Z., & Meng, X. (2015). Quantitative assessment of industrial symbiosis for the promotion of circular economy: a case study of the printed circuit boards industry in China’s Suzhou New District. Journal of Cleaner Production, 90, 211–219. https://doi.org/10.1016/J.JCLEPRO.2014.03.041Yang, B., & Wyman, C. E. (2008). Pretreatment: The key to unlocking low-cost cellulosic ethanol. In Biofuels, Bioproducts and Biorefining (Vol. 2, Issue 1, pp. 26–40). https://doi.org/10.1002/bbb.49Yang, Z., Chu, T., Han, L., Liu, X., Xiao, W., & Huang, G. (2013). Application of GC-TOPSIS on optimizing choice of utilization programs of crop straw. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 29(20), 179–191. https://doi.org/10.3969/j.issn.1002-6819.2013.20.024Yuan, Z., Bi, J., & Moriguichi, Y. (2008). The Circular Economy: A New Development Strategy in China. Journal of Industrial Ecology, 10(1–2), 4–8. https://doi.org/10.1162/108819806775545321Zaman, A. U., & Lehmann, S. (2013). The zero waste index: a performance measurement tool for waste management systems in a ‘zero waste city.’ Journal of Cleaner Production, 50, 123–132. https://doi.org/10.1016/j.jclepro.2012.11.041Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A.-R. (2015). Design and Implementation Content Validity Study: Development of an instrument for measuring Patient-Centered Communication. Journal of Caring Sciences, 4(2), 165–178. https://doi.org/10.15171/jcs.2015.017Zheng, J., Huang, Y., & Wang, Z. (2012). Study on establishment and application of circular economy evaluation index system for the chemical industry. In Advanced Materials Research (Vols. 524–527, pp. 3455–3458). https://doi.org/10.4028/www.scientific.net/AMR.524-527.3455Zhijun, F., & Nailing, Y. (2007). Putting a circular economy into practice in China. Sustainability Science, 2(1), 95–101. https://doi.org/10.1007/s11625-006-0018-1Zhu, Q., & Sarkis, J. (2007). The moderating effects of institutional pressures on emergent green supply chain practices and performance. International Journal of Production Research, 45(18–19), 4333–4355. https://doi.org/10.1080/00207540701440345ORIGINAL1032457348.2020.pdf1032457348.2020.pdfapplication/pdf4003949https://repositorio.unal.edu.co/bitstream/unal/79350/1/1032457348.2020.pdf3085f28515d24eb0851dd1c102aa1d1aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79350/2/license.txtcccfe52f796b7c63423298c2d3365fc6MD52THUMBNAIL1032457348.2020.pdf.jpg1032457348.2020.pdf.jpgGenerated Thumbnailimage/jpeg6344https://repositorio.unal.edu.co/bitstream/unal/79350/3/1032457348.2020.pdf.jpga33eadebfe7a037e916bb17c13ca2872MD53unal/79350oai:repositorio.unal.edu.co:unal/793502024-07-08 23:39:53.376Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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