Mathematical model for postponing time in reverse logistics network design with capacity levels

Authors

DOI:

https://doi.org/10.47456/bjpe.v6i7.32475

Keywords:

Time Postponement, Reverse logistic, Supply Chain Design, Mathematical Modeling, Used Cooking Oil

Abstract

A crucial issue in the design of efficient logistics systems is the locations for inventory. In parallel to this, the worldwide growth in the consumption of products causes the emergence of a concern about the end of the useful life or the end of the consumption of these products since their inappropriate disposal can cause serious environmental problems. The disposal of used cooking oil is one of these situations, which when improperly disposed of can have a severe environmental impact in a region. In this paper, the time postponement problem is analyzed and was proposed a mathematical modeling for the use of time postponement in the reverse supply chain design, with validation of its use with the application in the reverse logistics system of cooking oil in Vitória from scenarios to evaluate the technique and then solve efficiently e with an optimal solution the problem with the implementation in CPLEX 12.6.

Downloads

Download data is not yet available.

Author Biographies

Marcos Wagner Jesus Servare Junior, Universidade Federal do Espírito Santo

Engenheiro de Produção e mestre em Engenharia Civil (área de concentração: Transportes) pela Universidade Federal do Espírito Santo. Atualmente cursa o Doutorado em Engenharia Elétrica na mesma Universidade com período sanduíche na Hautes Études Commerciales de Montréal.. Programa de Pós-Graduação em Engenharia Civil.

Patrícia Alcântara Cardoso, Universidade Federal do Espírito Santo

She is an associate professor at the Department of Production Engineering at the Federal University of Espírito Santo (UFES), where she teaches undergraduate courses and participates in the Graduate Program in Civil Engineering, researching Transport and Logistics. She is currently doing a postdoctoral internship at HANDs (Humanitarian Assistance and Needs for Disasters), a research laboratory in Disaster Operations Management and Humanitarian Logistics at DEI PUC-Rio. PhD in Production Engineering from the Pontifical Catholic University of Rio de Janeiro (2002), Master in Systems and Computing from the Military Institute of Engineering (1997) and Graduated in Production Engineering from the Pontifical Catholic University of Rio de Janeiro (1992). She served as a Visiting Scholar at Ohio State University (2000-2001) and participated in the AOTS World Quality Facilitator Training Program in Japan (1996). He has experience in the field of Production Engineering, with emphasis on Logistics and Supply Chain Management, working mainly on the following topics: Lean manufacturing, transport logistics, quality services, planning, programming and production control, project management and education in production engineering. She serves as the UFES Secretary of International Relations and as a member of the UFES Permanent Commission on Internationalization.

References

Alderson, W. (1950) Marketing efficiency and the principle of postponement. Cost and Profit Outlook.

Aviv, Y., & A. Federgruen (2001). Design for postponement: A comprehensive characterization of its benefits under unknown demand distributions. Operations Research, 49(4), 578-598.

Brasil (2010). Lei nº 12.305, de 02 de agosto de 2010. Institui a Política Nacional de Resíduos Sólidos; altera a Lei no 9.605, de 12 de fevereiro de 1998; e dá outras providências. Diário Oficial da União, Brasília, 03 ago. 2010. Disponível em: <http://www.planalto.gov.br/ccivil_03/_ato2007-2010/2010/lei/l12305.htm>. Acesso em: 29 jul. 2020.

Brasil (2014). Óleo de cozinha pode ser descartado de forma consciente. Portal Brasil. 2014. Disponível em: <http://www.brasil.gov.br/meio-ambiente/2014/08/oleo-de-cozinha-pode-ser-descartado-de-forma-consciente>. Acesso em: 7 fev. 2017

Bucklin, L. P. (1965). Postponement, speculation and the structure of distribution channels. Journal of marketing research, 2(1), 26-31.

Çelebi, D. (2015). Inventory control in a centralized distribution network using genetic algorithms: A case study. Computers & Industrial Engineering, 87, 532-539.

Das, C., & R. Tyagi (1997). Role of inventory and transportation costs in determining the optimal degree of centralization. Transportation Research Part E: Logistics and Transportation Review, 33(3), 171-179.

De Brito, M. P., & Dekker, R. (2004). A framework for reverse logistics. In Reverse logistics (pp. 3-27). Springer, Berlin, Heidelberg.

Dekker, R., et al., (Eds.). (2013). Reverse logistics: quantitative models for closed-loop supply chains. Springer Science & Business Media.

Ferri, G. L., Chaves, G. L. D., & Ribeiro, G. M. (2015) Análise e localização de centros de armazenamento e triagem de resíduos sólidos urbanos para a rede de logística reversa: um estudo de caso no município de São Mateus, ES. Revista Produção, 25(1), 27-42.

Eynan, A. (1999). The multi-location inventory centralization problem with first-come, first-served allocation. European Journal of Operational Research, 114(1), 38-49.

García‐Dastugue, S. J., & Lambert, D. M. (2007). Interorganizational time‐based postponement in the supply chain. Journal of Business Logistics, 28(1), 57-81.

Gaur, S., & Ravindran, A. R. (2006). A bi-criteria model for the inventory aggregation problem under risk pooling. Computers & industrial engineering, 51(3), 482-501.

Gonçalves, M. F. S. (2015) Planejamento da logística reversa do óleo residual de fritura para uma destinação ambientalmente correta. 112p. Dissertação (Mestrado em Engenharia de Produção) - Departamento de Engenharia e Tecnologia da Universidade Federal do Espírito Santo, São Mateus.

Graves, S. C., & S. P. Willems, (2000). Optimizing strategic safety stock placement in supply chains. Manufacturing & Service Operations Management, 2(1), 68-83.

IBGE (2010). Cidades. Disponível em: <http://www.cidades.ibge.gov.br/xtras/perfil.php?lang=&codmun=320530>. Acesso em: 29 jul. 2020.

IBM (2012). IBM ILOG CPLEX v12.6: User’s manual for CPLEX.

Jabali, O. et al. (2012). Analysis of travel times and CO2 emissions in time‐dependent vehicle routing. Production and Operations Management, 21(6), 1060-1074.

Kutanoglu, E., & D. Lohiya (2008). Integrated inventory and transportation mode selection: A service parts logistics system. Transportation Research Part E: Logistics and Transportation Review, 44(5), 665-683.

Lau, H. S., & A. H. L. Lau (1996). The newsstand problem: A capacitated multiple-product single-period inventory problem. European Journal of Operational Research, 94(1), 29-42.

Leite, P. R. (2002). Logística reversa: nova área da logística empresarial. Revista Tecnologística.

Leite, P. (2009). Logística Reversa: Meio Ambiente e Competitividade, 2003. São Paulo: Editora Ciência Moderna Ltda.

Madalozo, J. A. (2008) O potencial de uso do rejeito de óleo vegetal para produção de biodiesel em Ponta Grossa – PR. 98p. Dissertação (Mestrado em Gestão Territorial) – Setor de Ciências Exatas e Naturais da Universidade Estadual do Paraná, Ponta Grossa, 2008.

Meade, L., et al., (2007). The theory and practice of reverse logistics. International Journal of Logistics Systems and Management, 3(1), 56-84.

Melo, M. T., et al., (2009). Facility location and supply chain management–A review. European journal of operational research, 196(2), 401-412.

Nozick, L. K., & Turnquist, M. A. (2001). Inventory, transportation, service quality and the location of distribution centers. European Journal of Operational Research, 129(2), 362-371.

Pires, S. (2004). Gestão da cadeia de suprimentos: conceitos, estratégias, práticas e casos. 2ª edição. São Paulo: Editora Atlas.

Pitta Junior, O. et al. (2009). Reciclagem do óleo de cozinha usado: uma contribuição para aumentar a produtividade do processo. In Internacional Workshop Advances In Cleaner Production (Vol. 2, pp. 1-10).

Porto, M. M. (2007). Portos e o Desenvolvimento. Aduaneiras.

Razmi, J., Zahedi-Anaraki, A., & Zakerinia, M. (2013). A bi-objective stochastic optimization model for reliable warehouse network redesign. Mathematical and Computer Modelling, 58(11-12), 1804-1813.

Servare Junior, M. W. J., & P. A. Cardoso (2016). Time postponement in supply chain: a mathematical programming review. Anais do 23rd European Operations Management Association Conference, EUROMA, Trondheim.

Servare Junior, M. W. J., et al., (2018). Mathematical model for supply chain design with time postponement. Transportes, 26(4), 1-15.

Vitória (2011). Censo Demográfico da Prefeitura Municipal de Vitória. Disponível em: <http://legado.vitoria.es.gov.br/regionais/Censo_2010/Tab3_sinopse_pop.asp>. Acesso em 5 fev. 2017

Vitória (2014a). Projeto de Lei n º 308, de 13 de outubro de 2014. Estabelece a obrigatoriedade aos estabelecimentos comercializadores de óleo de cozinha, especificamente mercados e supermercados, acima de 50 metros quadrados de área destinada ao consumidor, a manter em local visível e de fácil acesso, recipiente especial para o seu descarte. Câmara Municipal de Vitória, ES, 13 out. 2014a. Disponível em: <http://www.cmv.es.gov.br/Arquivo/Documents/PL/PL3082014.pdf>. Acesso em 9 jan. 2017.

Vitória (2014b). Lei n º 8.611, de 2 de janeiro de 2014. Altera o artigo 2º da Lei nº6.077, de 30 de dezembro de 2003. Câmara Municipal de Vitória, ES. Disponível em: <http://sistemas.vitoria.es.gov.br/webleis/Arquivos/2013/L8611.PDF>. Acesso em: 29 jul. 2020.

Downloads

Published

2020-10-09

How to Cite

Servare Junior, M. W. J., & Cardoso, P. A. (2020). Mathematical model for postponing time in reverse logistics network design with capacity levels. Brazilian Journal of Production Engineering, 6(7), 01–22. https://doi.org/10.47456/bjpe.v6i7.32475

Issue

Vol. 6 No. 7 (2020): Número Regular (Outubro - Dezembro)

Section

OPERATIONAL RESEARCH

License

Copyright (c) 2020 Brazilian Journal of Production Engineering - BJPE

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Atribuição 4.0 internacional CC BY 4.0 Deed