DEVELOPING A MULTI-OBJECTIVE SUSTAINABLE SUPPLY CHAIN NETWORK LOCATION-ALLOCATION MODEL FOR PERISHABLE PRODUCTS

Authors

  • Shadi Munshi Department of Mechanical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 24211, Saudi Arabia. https://orcid.org/0000-0003-1112-3690
  • Abdul Aziz Al-Anazi Department of Mechanical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 24211, Saudi Arabia.
  • M. S. Al-Ashhab Design and Production Engineering Department Faculty of Engineering, Ain-Shams University, Cairo 11511, Egyp

DOI:

https://doi.org/10.29121/granthaalayah.v10.i5.2022.4595

Keywords:

Supply Chain, Perishable, Multi-Objective, MINLP, GAMS, FIFO

Abstract [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.

Downloads

Download data is not yet available.

References

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

Downloads

Published

2022-05-31

How to Cite

Munshi, S., Aziz Al-Anazi, A., & Al-Ashhab, M. S. (2022). DEVELOPING A MULTI-OBJECTIVE SUSTAINABLE SUPPLY CHAIN NETWORK LOCATION-ALLOCATION MODEL FOR PERISHABLE PRODUCTS. International Journal of Research -GRANTHAALAYAH, 10(5), 44–57. https://doi.org/10.29121/granthaalayah.v10.i5.2022.4595