DEVELOPING A MULTI-OBJECTIVE SUSTAINABLE SUPPLY CHAIN NETWORK LOCATION-ALLOCATION MODEL FOR PERISHABLE PRODUCTS
DOI:
https://doi.org/10.29121/granthaalayah.v10.i5.2022.4595Keywords:
Supply Chain, Perishable, Multi-Objective, MINLP, GAMS, FIFOAbstract [English]
In this paper, the problem of considering how to design and plan the Sustainable Supply Chain Network (SSCN) for perishable goods considering multi-objectives has been addressed. The proposed model targeted considerable assistance from organizations for the efficient design of SCM networks. The model aims to maximize both profit and overall customer service level while minimizing the total cost. The proposed model is formulated using MINLP and solved by GAMS/DICOPT solver. The effects of the maximum permissible deviation on the different objectives and supply chain performance are studied. The maximum allowable deviations range from 0 to 0.5 with a step of 0.1. In addition, the effect of changing the optimization order on the performance of the network performance is studied.
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Al-Ashhab, M. S. & Alanazi, F. (2022). Developing a multi-item, multi-product, and multi-period supply chain network design and planning model for perishable products. International Journal of Research - GRANTHAALAYAH, 10(4), 179-199. https://doi.org/10.29121/granthaalayah.v10.i4.2022.4574 DOI: https://doi.org/10.29121/granthaalayah.v10.i4.2022.4574
Al-Ashhab, M. S. (2016). An optimization model for multi-period multi-product multi-objective production planning. International Journal of Engineering & Technology IJET-IJENS, 16(01). https://www.researchgate.net/profile/Mohamed-El-Ashhab/publication/299341059_An_Optimization_Model_for_Multi-period_Multi-_Product_Multi-objective_Production_Planning/links/5c232fd5a6fdccfc70690f86/An-Optimization-Model-for-Multi-period-Multi-Product-Multi-objective-Production-Planning.pdf
Al-Ashhab, M. S. Nabil, O. M., & Afia, N. H. (2021). Perishable products supply chain network design with sustainability. Indian Journal of Science and Technology, 14(9), 787-800. https://doi.org/10.17485/IJST/v14i9.24 DOI: https://doi.org/10.17485/IJST/v14i9.24
Al-Ashhab, M.S. & Aldosari, N. (2022). Modelling and Solving a Sustainable, Robust Multi-Period Supply Chain Network for Perishable Products. INDIAN JOURNAL OF ENGINEERING, 19(51), 184-195.
Arvan, M. Tavakkoli-Moghaddam, R. & Abdollahi, M. (2015). Designing a bi-objective and multi-product supply chain network for the supply of blood. Uncertain Supply Chain Management, 3(1), 57-68. https://doi.org/10.5267/j.uscm.2014.8.004 DOI: https://doi.org/10.5267/j.uscm.2014.8.004
Chalmardi, M. K. & Camacho-Vallejo, J.-F. (2019). A bi-level programming model for sustainable supply chain network design that considers incentives for using cleaner technologies. Journal of Cleaner Production, (213), 1035-1050. https://doi.org/10.1016/j.jclepro.2018.12.197 DOI: https://doi.org/10.1016/j.jclepro.2018.12.197
Dai, Z. Aqlan, F. Zheng, X. & Gao, K. (2018). A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints. Computers and Industrial Engineering, 338-352. https://doi.org/10.1016/j.cie.2018.04.007 DOI: https://doi.org/10.1016/j.cie.2018.04.007
Diabat, A. Jabbarzadeh, A. & Khosrojerdi, A. (2019). A perishable product supply chain network design problem with reliability and disruption considerations. International Journal of Production Economics, (212), 125-138. https://doi.org/10.1016/j.ijpe.2018.09.018 DOI: https://doi.org/10.1016/j.ijpe.2018.09.018
Eskandari-Khanghahi, M. Tavakkoli-Moghaddam, R. Taleizadeh, A. A. & Amin, S. H. (2018). Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty. Engineering Applications of Artificial Intelligence, (71), 236-250. https://doi.org/10.1016/j.engappai.2018.03.004 DOI: https://doi.org/10.1016/j.engappai.2018.03.004
GAMS (n.d.). GAMS Development Corp., General Algebraic Modeling System. https://www.gams.com/
Hajela, P. & Lin, C.-Y. (1992). Genetic search strategies in multicriterion optimal design. Structural Optimization, 4(2), 99-107. https://doi.org/10.1007/BF01759923 DOI: https://doi.org/10.1007/BF01759923
Herlina, L. (2022). An Integrated Production and Distribution Planning Model in Shrimp Agroindustry Supply Chain. 21(1), 1-19.
Holland, J.H. (1975). Adaptation in natural and artificial systems. Ann Arbor: University of Michigan Press. https://mitpress.mit.edu/books/adaptation-natural-and-artificial-systems
Horn, J. Nafpliotis, N. & Goldberg, D. E. (1994). A niched Pareto genetic algorithm for multiobjective optimization. Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence, 82-87. https://doi.org/10.1109/ICEC.1994.350037 DOI: https://doi.org/10.1109/ICEC.1994.350037
Isaloo, F. & Paydar, M. M. (2020). Optimizing a robust bi-objective supply chain network considering environmental aspects: a case study in plastic injection industry. International Journal of Management Science and Engineering Management, 15(1), 26-38. https://doi.org/10.1080/17509653.2019.1592720 DOI: https://doi.org/10.1080/17509653.2019.1592720
Kocabay, S. & Alaçam, S. (2017). Algorithm Driven Design: Comparison of Single-Objective and Multi-Objective Genetic Algorithms in the Context of Housing Design. http://papers.cumincad.org/data/works/att/cf2017_492.pdf
Konak, A. Coit, D. W. & Smith, A. E. (2006). Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering and System Safety, 91(9), 992-1007. https://doi.org/10.1016/j.ress.2005.11.018 DOI: https://doi.org/10.1016/j.ress.2005.11.018
Patidar, R. Venkatesh, B. Pratap, S. & Daultani, Y. (2018). A Sustainable Vehicle Routing Problem for Indian Agri-Food Supply Chain Network Design. International Conference on Production and Operations Management Society (POMS), 1-5. https://doi.org/10.1109/POMS.2018.8629450 DOI: https://doi.org/10.1109/POMS.2018.8629450
Rashidi, S. Saghaei, A. Sadjadi, S. J. & Sadi-Nezhad, S. (2016). Optimizing supply chain network design with location-inventory decisions for perishable items: A Pareto-based MOEA approach. Scientia Iranica, 23(6), 3025-3045. https://doi.org/10.24200/sci.2016.4009 DOI: https://doi.org/10.24200/sci.2016.4009
Rohmer, S. U. K. Gerdessen, J. C. & Claassen, G. D. H. (2019). Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis. European Journal of Operational Research, 273(3), 1149-1164. https://doi.org/10.1016/j.ejor.2018.09.006 DOI: https://doi.org/10.1016/j.ejor.2018.09.006
Schaffer, J. D. (1985). Multiple objective optimization with vector evaluated genetic algorithms. Proceedings of the First International Conference on Genetic Algorithms and Their Applications. https://www.researchgate.net/publication/220885605_Multiple_Objective_Optimization_with_Vector_Evaluated_Genetic_Algorithms
Trisna, T. Marimin, M. Arkeman, Y. & Sunarti, T. C. (2016). Multi-objective optimization for supply chain management problem: A literature review. Decision Science Letters, 5(2), 283-316. https://doi.org/10.5267/j.dsl.2015.10.003 DOI: https://doi.org/10.5267/j.dsl.2015.10.003
Validi, S. Bhattacharya, A. & Byrne, P. J. (2014). A case analysis of a sustainable food supply chain distribution system-A multi-objective approach. International Journal of Production Economics, (152), 71-87. https://doi.org/10.1016/j.ijpe.2014.02.003 DOI: https://doi.org/10.1016/j.ijpe.2014.02.003
Yakavenka, V. Mallidis, I. Vlachos, D. Iakovou, E. & Eleni, Z. (2020). Development of a multi-objective model for the design of sustainable supply chains: The case of perishable food products. Annals of Operations Research, 294(1), 593-621. https://doi.org/10.1007/s10479-019-03434-5 DOI: https://doi.org/10.1007/s10479-019-03434-5
Zahiri, B. Zhuang, J. & Mohammadi, M. (2017). Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, (103), 109-142. https://doi.org/10.1016/j.tre.2017.04.009 DOI: https://doi.org/10.1016/j.tre.2017.04.009
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