Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods

The plastic industry is considered one of the most dynamic industries with the highest competitive projection in the country [1]. Thanks to the advances of this industry, new products have been developed with various applications at industrial, commercial, service levels, and society’s daily lives....

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Autores:
Jiménez Delgado, Genett
alcazar franco, daniel jesus
GARCIA TAMAYO, DIANA MARCELA
Oliveros Eusse, Pedro Luis
Gomez Diaz, Melissa
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
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https://hdl.handle.net/11323/9477
https://doi.org/10.1007/978-3-030-90966-6_36
https://repositorio.cuc.edu.co/
Palabra clave:
DEMATEL
Environmental management
Fuzzy analytical hierarchy process (Fuzzy AHP)
Multicriteria decision making (MCMD)
Performance evaluation
Plastic industry
Reverse logistics
TOPSIS
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embargoedAccess
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Atribución 4.0 Internacional (CC BY 4.0)
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dc.title.eng.fl_str_mv Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
title Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
spellingShingle Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
DEMATEL
Environmental management
Fuzzy analytical hierarchy process (Fuzzy AHP)
Multicriteria decision making (MCMD)
Performance evaluation
Plastic industry
Reverse logistics
TOPSIS
title_short Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
title_full Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
title_fullStr Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
title_full_unstemmed Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
title_sort Evaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methods
dc.creator.fl_str_mv Jiménez Delgado, Genett
alcazar franco, daniel jesus
GARCIA TAMAYO, DIANA MARCELA
Oliveros Eusse, Pedro Luis
Gomez Diaz, Melissa
dc.contributor.author.spa.fl_str_mv Jiménez Delgado, Genett
alcazar franco, daniel jesus
GARCIA TAMAYO, DIANA MARCELA
Oliveros Eusse, Pedro Luis
Gomez Diaz, Melissa
dc.subject.proposal.eng.fl_str_mv DEMATEL
Environmental management
Fuzzy analytical hierarchy process (Fuzzy AHP)
Multicriteria decision making (MCMD)
Performance evaluation
Plastic industry
Reverse logistics
TOPSIS
topic DEMATEL
Environmental management
Fuzzy analytical hierarchy process (Fuzzy AHP)
Multicriteria decision making (MCMD)
Performance evaluation
Plastic industry
Reverse logistics
TOPSIS
description The plastic industry is considered one of the most dynamic industries with the highest competitive projection in the country [1]. Thanks to the advances of this industry, new products have been developed with various applications at industrial, commercial, service levels, and society’s daily lives. Plastics are highly demanded their chemical and physical properties, versatility, and low cost. However, many challenges are arising from the growth in consumption and the dynamics of the plastics industry, such as the prices of raw materials, substitute products of plastic, the demands of consumers, government, and other interested parties with the impact of plastics on the environment during the different stages of their life cycle. Concerning the life cycle of the plastic products is especially determinant the post-consumption, where plastic waste presents a low percentage of recycling and a prolonged period of degradation, being a product questioned for its negative environmental implications. In this sense, companies in the sector must implement different strategies and tools to evaluate their environmental performance, considering the product life cycle. In the world, there are various government regulations for the responsible use of plastics. International methodologies focused on sustainable environmental management in the products, processes, and organizational level have also been developed, such as the product life cycle approach, reverse logistics, and the ISO 45001 standard. However, it is necessary to create objective and analytical methodologies for evaluating environmental management and reverse logistics that provide solutions for the plastic industry, helping companies comply with applicable legal requirements and standards, and supporting decision-making processes. Concerning the decision-making is a complex process given the complexity of the sector and the multiple criteria taken into account when evaluating and establishing improvement strategies. In the literature review, we found several studies with the application of a multicriteria combined approach focused on selecting plastic recycling methods, location of plastic processing centers, eco-design of plastic products, and selection of suppliers. Despite these considerations, the research-oriented on applying integrated methodologies for evaluating performance in the environmental management and reverse logistics in the plastic industry, under multiple criteria and uncertainty, are mostly limited and with the exciting potential of development. Therefore, this document presents a hybrid methodology for evaluating the performance in the environmental management and reverse logistics in the plastic industry by applying two techniques of Multi-criteria Decision Methods (MCDM) uses in environments under uncertainly. First, the fuzzy Analytic Hierarchy Process (FAHP) is applied to estimate the initial relative weights of criteria and sub-criteria. The fuzzy set theory is incorporated to represent the uncertainty in the judgments of decision-makers. Then, the Decision-making Trial and Evaluation Laboratory (DEMATEL) was used for evaluating the interdependences between criteria and sub-criteria. FAHP and DEMATEL are later combined for calculating the final criteria and sub-criteria weights under vagueness and interdependence. Subsequently, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the companies of the plastic industry. Finally, we detect improvement opportunities for the companies of the plastic sector
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-07-29
dc.date.accessioned.none.fl_str_mv 2022-08-25T00:32:29Z
dc.date.available.none.fl_str_mv 2022-07-29
2022-08-25T00:32:29Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Jimenez-Delgado, G., Alcazar-Franco, D., García-Tamayo, D., Oliveros-Eusse, P., Gomez-Diaz, M. (2021). Evaluating the Performance in the Environmental Management and Reverse Logistics in Companies of Plastic Sector: An Integration of Fuzzy AHP, DEMATEL and TOPSIS Methods. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_36
dc.identifier.issn.spa.fl_str_mv 0302-9743
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dc.identifier.doi.spa.fl_str_mv 10.1007/978-3-030-90966-6_36
dc.identifier.eissn.spa.fl_str_mv 1611-3349
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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identifier_str_mv Jimenez-Delgado, G., Alcazar-Franco, D., García-Tamayo, D., Oliveros-Eusse, P., Gomez-Diaz, M. (2021). Evaluating the Performance in the Environmental Management and Reverse Logistics in Companies of Plastic Sector: An Integration of Fuzzy AHP, DEMATEL and TOPSIS Methods. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_36
0302-9743
10.1007/978-3-030-90966-6_36
1611-3349
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9477
https://doi.org/10.1007/978-3-030-90966-6_36
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Lecture Notes in Computer Science
dc.relation.references.spa.fl_str_mv Arandes, J., Bilbao, J., Lopez, D.: Reciclado de residuos plásticos. Revista Iberoamericana de Polímeros 5(1), 28–45 (2004)
Nones, C.: Gestión y técnicas de reciclaje polimérico: Estudio del escenario actual, aplicaciones y nuevas tendencias. Universidad Politécnica de Cataluña (2019)
Jimenez, G., Hernandez, L., Hernandez, H., Cabas, L., Ferreira, J.: Evaluation of quality management for strategic decision making in companies in the plastic sector of the Colombian Caribbean region using the TQM diagnostic report and data analysis. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 273–281. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_38
Jimenez, G., Novoa, L., Ramos, L., Martinez, J., Alvarino, C.: Diagnosis of initial conditions for the implementation of the integrated management system in the companies of the land cargo transportation in the city of Barranquilla (Colombia). In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 282–289. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_39
Jimenez, G., Zapata, E.: Metodologia integrada para el control estratégico y la mejora continua, basada en el Balanced Scorecard y el Sistema de Gestión de Calidad: aplicacion en una organizacion de servicios en Colombia. In: 51a Asamblea Anual del Consejo Latinoamericano de Escuelas de Administracion CLADEA 2016, Medellin, Colombia, pp. 1–20 (2016)
Jimenez, G.: Procedimientos para el mejoramiento de la calidad y la implantación de la Norma ISO 9001 aplicado al proceso de asesoramiento del Centro de Investigaciones y Desarrollo Empresarial y Regional en una Institucion de Educacion Superior basados en la gestión por procesos. In: Congreso de Gestion de la Calidad y Proteccion Ambiental GECPA 2014, Habana, Cuba, pp. 1–22 (2014)
Singh, N., Hui, D., Singh, R., Ahuja, I., Feo, L., Fraternali, F.: Recycling of plastic solid waste: a state of art review and future applications. Compos. B Eng. 115, 409–422 (2017)
Vinodh, S., Prasanna, M., Hari Prakash, N.: Integrated Fuzzy AHP–TOPSIS for selecting the best plastic recycling method: a case study. Appl. Math. Model. 38(19–20), 4662–4672 (2014)
Fidelis, R., Ferreira, M., Colmenero, J.: Selecting a location to install a plastic processing center: network of recycling cooperatives. Resour. Conserv. Recycl. 103, 1–8 (2015)
García, C., Herva, M., Roca, E.: A decision support system based on fuzzy reasoning and AHP–FPP for the ecodesign of products: application to footwear as case study. Appl. Soft Comput. 26, 224–234 (2015)
Cheraghalipour, A., Farsad, S.: A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: a case study in plastic industry. Comput. Ind. Eng. 118, 237–250 (2018)
ISO 14001:2015 Environmental management systems—requirements with guidance for use (2015)
Jayant, A., Gupta, P., Garg, S.K.: Reverse logistics network design for spent batteries: a simulation study. Int. J. Logist. Syst. Manag. 18(3), 343–365 (2014)
Jimenez, G., Santos, G., Félix, M., Hernández, H., Rondón, C.: Good practices and trends in reverse logistics in the plastic products manufacturing industry. Procedia Manuf. 41, 367–374 (2019)
Ravi, V., Shankar, R., Tiwari, M.K.: Selection of a reverse logistics project for end-of-life computers: ANP and goal programming approach. Int. J. Prod. Res. 46(17), 4849–4870 (2008). https://doi.org/10.1080/00207540601115989
Wadhwa, S., Madaan, J., Chan, F.T.S.: Flexible decision modeling of reverse logistics system: a value-adding MCDM approach for an alternative selection. Robot. Comput. Integr. Manuf. 25(2), 460–469 (2009). https://doi.org/10.1016/j.rcim.2008.01.006
Sasikumar, P., Haq, A.N.: A multicriteria decision-making methodology for the selection of reverse logistics operating modes. Int. J. Enterp. Netw.Manag. 4(1), 68–79 (2010). https://doi.org/10.1504/IJENM.2010.034477
Uygun, Ö., Dede, A.: Performance evaluation of green supply chain management using integrated fuzzy multicriteria decision-making techniques. Comput. Ind. Eng. 102, 502–511 (2016). https://doi.org/10.1016/j.cie.2016.02.020
Tosarkani, B.M., Amin, S.H.: A multiobjective model to configure an electronic reverse logistics network and third-party selection. J. Clean. Prod. 198, 662–682 (2018). https://doi.org/10.1016/j.jclepro.2018.07.056
Tian, G., et al.: Selection of take-back pattern of vehicle reverse logistics in china via grey-DEMATEL and fuzzy-VIKOR combined method. J. Clean. Prod. 220, 1088–1100 (2019). https://doi.org/10.1016/j.jclepro.2019.01.086
Asees Awan, M., Ali, Y.: Sustainable modeling in reverse logistics strategies using fuzzy MCDM: case of China Pakistan economic corridor. Manag. Environ. Qual. Int. J. 30(5), 1132–1151 (2019). https://doi.org/10.1108/MEQ-01-2019-0024
Faris, H.M., Maan, H.Y.: Evaluation of green supply chain management practices under uncertainty environment: a case study in the company for batteries industry. Paper presented at the IOP Conference Series: Materials Science and Engineering, vol. 881, no. 1 (2020). https://doi.org/10.1088/1757-899X/881/1/012085. www.scopus.com
Jayant, A., Singh, S., Walke, T.: A robust hybrid multicriteria decision-making approach for selection of third-party reverse logistics service provider (2021). https://doi.org/10.1007/978-981-15-5519-0_32. www.scopus.com
Wang, C., Dang, T., Nguyen, N.: Outsourcing reverse logistics for e-commerce retailers: a two-stage fuzzy optimization approach. Axioms 10(1) (2021). https://doi.org/10.3390/axioms10010034
Ortiz-Barrios, M.A., Kucukaltan, B., Carvajal-Tinoco, D., Neira-Rodado, D., Jiménez, G.: Strategic hybrid approach for selecting suppliers of high-density polyethylene. J. Multi-Crit. Decis. Anal. 24, 1–21 (2017). https://doi.org/10.1002/mcda.1617
Jimenez-Delgado, G., et al.: Improving the performance in occupational health and safety management in the electric sector: an integrated methodology using fuzzy multicriteria approach. In: Duffy, V.G. (ed.) HCII 2020. LNCS, vol. 12199, pp. 130–158. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_10
Hernandez, L., Jimenez, G.: Characterization of the current conditions of the ITSA data centers according to standards of the green data centers friendly to the environment. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds.) CSOC 2017. AISC, vol. 574, pp. 329–340. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57264-2_34
Izquierdo, N.V., et al.: Methodology of application of diffuse mathematics to performance evaluation. Int. J. Contr. Theory Appl. (2016). ISSN 0974-5572
Jimenez-Delgado, G., Balmaceda-Castro, N., Hernández-Palma, H., de la Hoz-Franco, E., García-Guiliany, J., Martinez-Ventura, J.: An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation. In: Duffy, V.G. (ed.) HCII 2019. LNCS, vol. 11581, pp. 433–457. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22216-1_32
Halbach, P., et al.: Investigating key factors for social network evolution and opinion dynamics in an agent-based simulation. In: Duffy, V.G. (ed.) HCII 2020. LNCS, vol. 12199, pp. 20–39. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_2
Su, C.M., Horng, D.J., Tseng, M.L., Chiu, A.S., Wu, K.J., Chen, H.P.: Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Cleaner Prod. 134, 469–481 (2016)
Wei, P.L., Huang, J.H., Tzeng, G.H., Wu, S.I.: Causal modeling of web-advertising effects by improving SEM based on DEMATEL technique. Int. J. Inf. Technol. Decis. Making 9(05), 799–829 (2010)
Jiménez-Delgado, G., Santos, G., Félix, M.J., Teixeira, P., Sá, J.C.: A combined AHP-TOPSIS approach for evaluating the process of innovation and integration of management systems in the logistic sector. In: Stephanidis, C., et al. (eds.) HCII 2020. LNCS, vol. 12427, pp. 535–559. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60152-2_40
Azevedo, J., et al.: Improvement of production line in the automotive industry through lean philosophy. Procedia Manuf. 41, 1023–1030 (2019). https://doi.org/10.1016/j.promfg.2019.10.029
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spelling Jiménez Delgado, Genett358552a1af4c31cc8fe8136b99804d7b600alcazar franco, daniel jesus43f00807d749ac1c5310053bc47ebc41600GARCIA TAMAYO, DIANA MARCELAd095012a95b728ab9f61b5a683965a70600Oliveros Eusse, Pedro Luis71f46491edcfcc1e40135d75c7c8f7b5600Gomez Diaz, Melissaab69780f999419d4197d34b57498a8c12022-08-25T00:32:29Z2022-07-292022-08-25T00:32:29Z2021-07-29Jimenez-Delgado, G., Alcazar-Franco, D., García-Tamayo, D., Oliveros-Eusse, P., Gomez-Diaz, M. (2021). Evaluating the Performance in the Environmental Management and Reverse Logistics in Companies of Plastic Sector: An Integration of Fuzzy AHP, DEMATEL and TOPSIS Methods. In: , et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_360302-9743https://hdl.handle.net/11323/9477https://doi.org/10.1007/978-3-030-90966-6_3610.1007/978-3-030-90966-6_361611-3349Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The plastic industry is considered one of the most dynamic industries with the highest competitive projection in the country [1]. Thanks to the advances of this industry, new products have been developed with various applications at industrial, commercial, service levels, and society’s daily lives. Plastics are highly demanded their chemical and physical properties, versatility, and low cost. However, many challenges are arising from the growth in consumption and the dynamics of the plastics industry, such as the prices of raw materials, substitute products of plastic, the demands of consumers, government, and other interested parties with the impact of plastics on the environment during the different stages of their life cycle. Concerning the life cycle of the plastic products is especially determinant the post-consumption, where plastic waste presents a low percentage of recycling and a prolonged period of degradation, being a product questioned for its negative environmental implications. In this sense, companies in the sector must implement different strategies and tools to evaluate their environmental performance, considering the product life cycle. In the world, there are various government regulations for the responsible use of plastics. International methodologies focused on sustainable environmental management in the products, processes, and organizational level have also been developed, such as the product life cycle approach, reverse logistics, and the ISO 45001 standard. However, it is necessary to create objective and analytical methodologies for evaluating environmental management and reverse logistics that provide solutions for the plastic industry, helping companies comply with applicable legal requirements and standards, and supporting decision-making processes. Concerning the decision-making is a complex process given the complexity of the sector and the multiple criteria taken into account when evaluating and establishing improvement strategies. In the literature review, we found several studies with the application of a multicriteria combined approach focused on selecting plastic recycling methods, location of plastic processing centers, eco-design of plastic products, and selection of suppliers. Despite these considerations, the research-oriented on applying integrated methodologies for evaluating performance in the environmental management and reverse logistics in the plastic industry, under multiple criteria and uncertainty, are mostly limited and with the exciting potential of development. Therefore, this document presents a hybrid methodology for evaluating the performance in the environmental management and reverse logistics in the plastic industry by applying two techniques of Multi-criteria Decision Methods (MCDM) uses in environments under uncertainly. First, the fuzzy Analytic Hierarchy Process (FAHP) is applied to estimate the initial relative weights of criteria and sub-criteria. The fuzzy set theory is incorporated to represent the uncertainty in the judgments of decision-makers. Then, the Decision-making Trial and Evaluation Laboratory (DEMATEL) was used for evaluating the interdependences between criteria and sub-criteria. FAHP and DEMATEL are later combined for calculating the final criteria and sub-criteria weights under vagueness and interdependence. Subsequently, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the companies of the plastic industry. Finally, we detect improvement opportunities for the companies of the plastic sector21 páginasapplication/pdfengSpringer VerlagGermanyAtribución 4.0 Internacional (CC BY 4.0)© 2022 Springer Nature Switzerland AG. Part of Springer Nature.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfEvaluating the performance in the environmental management and reverse logistics in companies of plastic sector: an integration of fuzzy AHP, DEMATEL and TOPSIS methodsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://link.springer.com/chapter/10.1007/978-3-030-90966-6_36Lecture Notes in Computer ScienceArandes, J., Bilbao, J., Lopez, D.: Reciclado de residuos plásticos. Revista Iberoamericana de Polímeros 5(1), 28–45 (2004)Nones, C.: Gestión y técnicas de reciclaje polimérico: Estudio del escenario actual, aplicaciones y nuevas tendencias. Universidad Politécnica de Cataluña (2019)Jimenez, G., Hernandez, L., Hernandez, H., Cabas, L., Ferreira, J.: Evaluation of quality management for strategic decision making in companies in the plastic sector of the Colombian Caribbean region using the TQM diagnostic report and data analysis. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 273–281. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92285-0_38Jimenez, G., Novoa, L., Ramos, L., Martinez, J., Alvarino, C.: Diagnosis of initial conditions for the implementation of the integrated management system in the companies of the land cargo transportation in the city of Barranquilla (Colombia). In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 852, pp. 282–289. 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Procedia Manuf. 41, 1023–1030 (2019). https://doi.org/10.1016/j.promfg.2019.10.02954552513097DEMATELEnvironmental managementFuzzy analytical hierarchy process (Fuzzy AHP)Multicriteria decision making (MCMD)Performance evaluationPlastic industryReverse logisticsTOPSISORIGINALEvaluating the Performance in the Environmental Management and Reverse Logistics in Companies of Plastic Sector.pdfEvaluating the Performance in the Environmental Management and Reverse Logistics in Companies of Plastic Sector.pdfapplication/pdf104663https://repositorio.cuc.edu.co/bitstream/11323/9477/1/Evaluating%20the%20Performance%20in%20the%20Environmental%20Management%20and%20Reverse%20Logistics%20in%20Companies%20of%20Plastic%20Sector.pdf08d86890113c48b7dd60edce0a8386dfMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstream/11323/9477/2/license.txte30e9215131d99561d40d6b0abbe9badMD52open accessTEXTEvaluating the Performance in the Environmental 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