A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry
The research introduces a discrete-event simulation model that focuses on implementing a collaborative and lean logistic approach to enhance productivity and competitiveness within a supply chain. The model aims to improve processes in the supply chain by establishing more sustainable methods in pro...
- Autores:
-
Salas-Navarro, Katherinne
Bustamante-Salazar, Angélica
Romero-Lambrano, Teresa
Ospina Mateus, Holman
Acevedo-Chedid, Jaime
Sankar Sana, Shib
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12767
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12767
- Palabra clave:
- Simulation model
Supply chain management
Collaboration
Lean logistics
Dairy industry
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| dc.title.alternative.es_CO.fl_str_mv |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| title |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| spellingShingle |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry Simulation model Supply chain management Collaboration Lean logistics Dairy industry LEMB |
| title_short |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| title_full |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| title_fullStr |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| title_full_unstemmed |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| title_sort |
A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry |
| dc.creator.fl_str_mv |
Salas-Navarro, Katherinne Bustamante-Salazar, Angélica Romero-Lambrano, Teresa Ospina Mateus, Holman Acevedo-Chedid, Jaime Sankar Sana, Shib |
| dc.contributor.author.none.fl_str_mv |
Salas-Navarro, Katherinne Bustamante-Salazar, Angélica Romero-Lambrano, Teresa Ospina Mateus, Holman Acevedo-Chedid, Jaime Sankar Sana, Shib |
| dc.subject.keywords.es_CO.fl_str_mv |
Simulation model Supply chain management Collaboration Lean logistics Dairy industry |
| topic |
Simulation model Supply chain management Collaboration Lean logistics Dairy industry LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The research introduces a discrete-event simulation model that focuses on implementing a collaborative and lean logistic approach to enhance productivity and competitiveness within a supply chain. The model aims to improve processes in the supply chain by establishing more sustainable methods in production, transportation, and marketing activities. Additionally, a discrete-event simulation model has been created to represent a dairy supply chain and assess performance across various areas such as production activities, transportation, distribution, information systems, and indicators. The model utilizes Arena Simulation Software to depict processes, raw materials, suppliers, manufacturers, resources, products, and customers. It has been developed and validated through statistical comparison with real-world data. Furthermore, the current performance analysis has been computed, and scenarios have been defined to enhance infrastructure utilization, production capacity, collaboration, and lean logistic approaches. The study includes a case study of the dairy industry in Colombia to validate the model. The results indicate that collaborating with suppliers and implementing a new production line have significant benefits in strengthening the dairy sector, leading to improved production planning, the adoption of new technologies, increased incomes, and enhanced competitiveness in the industry. |
| publishDate |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2024-11-15T21:17:44Z |
| dc.date.available.none.fl_str_mv |
2024-11-15T21:17:44Z |
| dc.date.issued.none.fl_str_mv |
2024-09-11 |
| dc.date.submitted.none.fl_str_mv |
2024-11-15 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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publishedVersion |
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Salas-Navarro, K., Bustamante-Salazar, A., Romero-Lambrano, T. et al. A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry. OPSEARCH (2024). https://doi.org/10.1007/s12597-024-00863-0 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12767 |
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10.1007/s12597-024-00863-0 |
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Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.es_CO.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Salas-Navarro, K., Bustamante-Salazar, A., Romero-Lambrano, T. et al. A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry. OPSEARCH (2024). https://doi.org/10.1007/s12597-024-00863-0 10.1007/s12597-024-00863-0 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12767 |
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eng |
| language |
eng |
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info:eu-repo/semantics/closedAccess |
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closedAccess |
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39 |
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application/pdf |
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Colombia, Bolivar (cartagena) |
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Cartagena de Indias |
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Ingeniería |
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Campus Tecnológico |
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Ingeniería Industrial |
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OPSEARCH |
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Universidad Tecnológica de Bolívar |
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Salas-Navarro, Katherinned481e85c-2249-47f4-8bfd-a31800417ca1Bustamante-Salazar, Angélica87a07134-6be8-48ac-8bc2-0d62b31169abRomero-Lambrano, Teresae71d7eb7-8983-4f85-8b8e-07f8b6f259fbOspina Mateus, Holmandecb9d82-e4b8-470e-92c8-e2419b479ba0Acevedo-Chedid, Jaime11cdb651-1161-436d-ac47-88a330629d17Sankar Sana, Shibd10ac6cd-87f8-493f-80ec-cf649edaf60cColombia, Bolivar (cartagena)2024-11-15T21:17:44Z2024-11-15T21:17:44Z2024-09-112024-11-15Salas-Navarro, K., Bustamante-Salazar, A., Romero-Lambrano, T. et al. A discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industry. OPSEARCH (2024). https://doi.org/10.1007/s12597-024-00863-0https://hdl.handle.net/20.500.12585/1276710.1007/s12597-024-00863-0Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe research introduces a discrete-event simulation model that focuses on implementing a collaborative and lean logistic approach to enhance productivity and competitiveness within a supply chain. The model aims to improve processes in the supply chain by establishing more sustainable methods in production, transportation, and marketing activities. Additionally, a discrete-event simulation model has been created to represent a dairy supply chain and assess performance across various areas such as production activities, transportation, distribution, information systems, and indicators. The model utilizes Arena Simulation Software to depict processes, raw materials, suppliers, manufacturers, resources, products, and customers. It has been developed and validated through statistical comparison with real-world data. Furthermore, the current performance analysis has been computed, and scenarios have been defined to enhance infrastructure utilization, production capacity, collaboration, and lean logistic approaches. The study includes a case study of the dairy industry in Colombia to validate the model. The results indicate that collaborating with suppliers and implementing a new production line have significant benefits in strengthening the dairy sector, leading to improved production planning, the adoption of new technologies, increased incomes, and enhanced competitiveness in the industry.39application/pdfengOPSEARCHA discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industryA discrete-event simulation model with a collaborative and lean logistic approach application to a dairy industryinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Simulation modelSupply chain managementCollaborationLean logisticsDairy industryLEMBinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasIngenieríaCampus TecnológicoIngeniería IndustrialPúblico generalDania, W.A.P., Xing, K., Amer, Y.: Collaboration behavioural factors for sustainable agri-food supply chains: a systematic review. J. Clean. Prod. 186, 851–864 (2018). https://doi.org/10.1016/j.jclepro.2018.03.148Salas-Navarro, K., Maiguel-Mejía, H., Acevedo-Chedid, J.: Inventory Management Methodology to determine the levels of integration and collaboration in supply chain. Ingeniare 25(2), 326–337 (2017). https://doi.org/10.4067/S0718-33052017000200326Mittal, A., Krejci, C.C.: A hybrid simulation modeling framework for regional food hubs. J. Simul. 13(1), 28–43 (2019). https://doi.org/10.1057/s41273-017-0063-zSundar, R., Balaji, A.N., Satheesh Kumar, R.M.: A review on lean manufacturing implementation techniques. Proced. Eng. 97, 1875–1885 (2014). https://doi.org/10.1016/j.proeng.2014.12.341Wahab, A.N.A., Mukhtar, M., Sulaiman, R.: A conceptual model of lean manufacturing dimensions. Proced. Technol. 11, 1292–1298 (2013). https://doi.org/10.1016/j.protcy.2013.12.327Yuan, Y., Viet, N., Behdani, B.: The impact of information sharing on the performance of horizontal logistics collaboration: a simulation study in an agri-food supply chain. IFAC-PapersOnLine 52(13), 2722–2727 (2019). https://doi.org/10.1016/j.ifacol.2019.11.619Mourtzis, D., Papathanasiou, P., Fotia, S.: Lean rules identification and classification for manufacturing industry. Procedia CIRP 50, 198–203 (2016). https://doi.org/10.1016/j.procir.2016.04.097Bhavani, G.D., Mahapatra, G.S., Kumar, A.: A sustainable two-echelon green supply chain coordination model under fuzziness incorporating carbon pricing policies. Environ. Sci. Pollut. Res. 30(38), 89197–89237 (2023). https://doi.org/10.1007/s11356-023-27724-5Bhavani, G.D., Mishra, U., Mahapatra, G.S.: A case study on the impact of green investment with a pentagonal fuzzy storage capacity of two green-warehouse inventory systems under two dispatching policies. Environ., Dev. Sustain. (2023). https://doi.org/10.1007/s10668-023-04268-9Calderón, J.L., Lario, F.C.: Supply chain simulation: new applications and development areas. Inf. Tecnol. 18(1), 137–146 (2007). https://doi.org/10.4067/s0718-07642007000100018Fanti, M.P., Iacobellis, G., Ukovich, W., Boschian, V., Georgoulas, G., Stylios, C.: A simulation based decision support system for logistics management. J. Comput. Sci. 10, 86–96 (2015). https://doi.org/10.1016/j.jocs.2014.10.003Salas-Navarro, K., Obredor-Baldovino, T., González-Laverde, G., & Mercado-Caruso, N.: An associativity scheme design for the supply chain of dairy cluster in the state of Atlántico of Colombia. Espacios, 39(50), (2018)Salas-Navarro, K., Romero-Montes, J.M., Acevedo-Chedid, J., Ospina-Mateus, H., Florez, W.F., Cárdenas-Barrón, L.E.: Vendor managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain. Expert Syst. Appl. 218, 119608 (2023). https://doi.org/10.1016/j.eswa.2023.119608Ramírez, J. C., & De Aguas, J. M.: Escalafón de la competitividad de los departamentos de Colombia 2015. Oficina de La CEPAL En Colombia, 107, (2015)Akhtar, P., Tse, Y.K., Khan, Z., Rao-Nicholson, R.: Data-driven and adaptive leadership contributing to sustainability: global agri-food supply chains connected with emerging markets. Int. J. Prod. Econ. 181, 392–401 (2016). https://doi.org/10.1016/j.ijpe.2015.11.013Rabe, M., Clausen, U., Klueter, A., Poeting, M.: An approach for modeling collaborative route planning in supply chain simulation. Proceed.—Winter Simul. Conf. 7822264, 2228–2238 (2016)Van Der Vorst, J.G.A.J., Tromp, S.O., Van Der Zee, D.J.: Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. Int. J. Prod. Res. 47(23), 6611–6631 (2009). https://doi.org/10.1080/00207540802356747Hudnurkar, M., Rathod, U.: Collaborative supply chain: insights from simulation. Int. J. Syst. Assur. Eng. Manag. 3(2), 122–144 (2012)Cigolini, R., Pero, M., Rossi, T., Sianesi, A.: Linking supply chain configuration to supply chain perfrmance: a discrete event simulation model. Simul. Model. Pract. Theory 40, 1–11 (2014). https://doi.org/10.1016/j.simpat.2013.08.002Neagoe, M., Hvolby, H.H., Taskhiri, M.S., Turner, P.: Using discrete-event simulation to compare congestion management initiatives at a port terminal. Simul. Modell. Pract. Theory 112, 102362 (2021). https://doi.org/10.1016/j.simpat.2021.102362González-Reséndiz, J., Arredondo-Soto, K.C., Realyvásquez-Vargas, A., Híjar-Rivera, H., Carrillo-Gutiérrez, T.: Integrating simulation-based optimization for lean logistics: a case study. Appl. Sci. 8, 2448 (2018)Burgos, D., Ivanov, D.: Food retail supply chain resilience and the COVID-19 pandemic: a digital twin-based impact analysis and improvement directions. Transp. Res. Part E: Logist. Transp. Rev. 152, 102414 (2021). https://doi.org/10.1016/j.tre.2021.102412Spiker, M.L., Welling, J., Hertenstein, D., Mishra, S., Mishra, K., Hurley, K.M., Neff, R.A., Fanzo, J., Lee, B.Y.: When increasing vegetable production may worsen food availability gaps: a simulation model in India. Food Policy 116, 102416 (2023). https://doi.org/10.1016/j.foodpol.2023.102416Garza-Reyes, J.A., Oraifige, I., Soriano-Meier, H., Forrester, P.L., Harmanto, D.: The development of a lean park homes production process using process flow and simulation methods. J. Manuf. Technol. Manag. 23(2), 178–197 (2012)Atieh, A.M., Kaylani, H., Almuhtady, A., Al-Tamimi, O.: A value stream mapping and simulation hybrid approach: application to glass industry. Int. J. Adv. Manuf. Technol. 84(5–8), 1573–1586 (2016). https://doi.org/10.1007/s00170-015-7805-8Alzubi, E., Atieh, A.M., Abu Shgair, K., Damiani, J., Sunna, S., Madi, A.: Hybrid integrations of value stream mapping, theory of constraints and simulation: application to wooden furniture industry. Processes 7(11), 816 (2019). https://doi.org/10.3390/pr7110816Pattanaik, L.N.: Simulation optimization of manufacturing takt time for a leagile supply chain with a de-coupling point. Int. J. Ind. Eng. Manag. 12(2), 102–114 (2021). https://doi.org/10.24867/IJIEM-2021-2-280Afy-Shararah, M., Salonitis, K.: Integrated modeling of “soft” and “hard” variables in manufacturing. Int. J. Adv. Manuf. Technol. 122(11–12), 4259–4265 (2022). https://doi.org/10.1007/s00170-022-09872-zAbay, Y., Kaihara, T., Kokuryo, D., Fujii, N.: A discrete-event simulation study of multi-objective sales and operation planning: a case of ethiopian automotive industry. IFAC-PapersOnLine 56(2), 7826–7833 (2023). https://doi.org/10.1016/j.ifacol.2023.10.1147Abay, Y., Kaihara, T., Kokuryo, D.: A discrete-event simulation study of multi-objective sales and operation planning under demand uncertainty: a case of the ethiopian automotive industry. Int. J. Autom. Technol. 18(1), 135–145 (2024). https://doi.org/10.20965/ijat.2024.p0135Miqueo, A., Gracia-Cadarso, M., Torralba, M., Gil-Vilda, F., Yagüe-Fabra, J.A.: Multi-model in-plant logistics using milkruns for flexible assembly systems under disturbances: an industry study case. Machines 11(1), 66 (2023). https://doi.org/10.3390/machines11010066Cao, M., Vonderembse, M.A., Zhang, Q., Ragu-Nathan, T.S.: Supply chain collaboration: conceptualisation and instrument development. Int. J. Prod. Res. 48(22), 6613–6635 (2010). https://doi.org/10.1080/00207540903349039Martinez, P., Ahmad, R.: Quantifying the impact of inspection processes on production lines through stochastic discrete-event simulation modeling. Modelling 2(4), 406–424 (2021). https://doi.org/10.3390/modelling2040022Haddad, Y., De Bonneval, E.G., Afy-Shararah, M., Carter, J., Artingstall, J., Salonitis, K.: Energy flexibility in aerospace manufacturing: the case of low carbon intensity production. J. Manuf. Syst. 74(May), 812–825 (2024). https://doi.org/10.1016/j.jmsy.2024.05.004Banks, J., Carson, J.S., II., Nelson, B.L., Nicol, D.M.: Discrete-event system simulation, 5th edn. Pearson Education Limited, London (2014)Herrera, O., & Becerra, L. A.: Diseño general de las etapas de simulación de procesos con énfasis en el análisis de entrada. In: Twelfth LACCEI Latin American and Caribbean Conference for Engineering and Technologye for Engineering and Technology, pp. 1–10, (2014). http://www.laccei.org/LACCEI2014-Guayaquil/RefereedPapers/RP152.pdfFedegan. (2018). Cifras de Referencia del Sector Ganadero Colombiano. www.fedegan.org.cohttp://purl.org/coar/resource_type/c_2df8fbb1ORIGINALVersion Final. 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