Perishable products supply chain network design with sustainability

M S Al Ashhab; Omnia M Nabil; Nahid H Afia

doi:10.17485/IJST/v14i9.24

Article

Perishable products supply chain network design with sustainability

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v14i9.24

Year: 2021, Volume: 14, Issue: 9, Pages: 787-800

Original Article

Perishable products supply chain network design with sustainability

M S Al-Ashhab¹,², Omnia M Nabil¹,^3*, Nahid H Afia¹

¹Design & Production Engineering Dept., Faculty of Engineering, Ain-Shams University, Cairo, Egypt
²Dept. of Mechanical Engineering, College of Engineering and Islamic architecture, Umm
Al-Qura University, Makkah, Saudi Arabia
³Dept. of Industrial Automation, German University in Cairo, Egypt

*Corresponding Author
Email: [email protected]

Received Date:05 January 2021, Accepted Date:27 February 2021, Published Date:22 March 2021

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

Abstract

Background/Objectives: This study addresses the problem of sustainable supply chain network design for perishable products. Perishable products lose their value or deteriorate in a limited time, from the moment they are produced. Methods/Statistical analysis: A mathematical model is developed to design sustainable, single product, multi period, three-echelon supply network including manufacturer, warehouse, and retailer. The problem is formulated as mixed-integer nonlinear programming. Besides, the model is solved by non-linear Generalized Reduced Gradient solver in Excel. Findings: The behaviour of the model has been verified through solving several scenarios. The effect of demand on system behaviour has been studied. Novelty/Applications: The model considered inventory of perishable products in multi-periods. In addition, it adopts the concept of preventing the expiration of the perishable products, to minimize the environmental impact in addition to maximizing the profit to assure sustainability of the supply chain. The model is solved by non-linear Generalized Reduced Gradient solver in Excel. The proposed model considerably assists the supply chain organizations to design their network more efficiently.

Keywords: Sustainability; Supply chain network design; perishable products; MINLP; Inventory; FIFO; expiration; Generalized Reduced Gradient solver

References

Patidar R, Venkatesh B, Pratap S, Daultani Y. A Sustainable Vehicle Routing Problem for Indian Agri-Food Supply Chain Network Design. In: International Conference on Production and Operations Management Society (POMS). IEEE. 2018.
Dai Z, Aqlan F, Zheng X, Gao K. A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints. Computers & Industrial Engineering. 2018;119:338–352. Available from: https://dx.doi.org/10.1016/j.cie.2018.04.007
Rashidi S, Saghaei A, Sadjadi SJ, Sadi-Nezhad S. Optimizing supply chain network design with location-inventory decisions for perishable items: A Pareto-based MOEA approach. Scientia Iranica. 2016;23(6):3025–3045. Available from: https://dx.doi.org/10.24200/sci.2016.4009
Validi S, Bhattacharya A, Byrne PJ. A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. International Journal of Production Economics. 2014;152:71–87. Available from: https://dx.doi.org/10.1016/j.ijpe.2014.02.003
Dwivedi A, Jha A, Prajapati D, Sreenu N, Pratap S. Meta-heuristic algorithms for solving the sustainable agro-food grain supply chain network design problem. Modern Supply Chain Research and Applications. 2020;2:161–177. Available from: https://dx.doi.org/10.1108/mscra-04-2020-0007
Chalmardi MK, Camacho-Vallejo JF. A bi-level programming model for sustainable supply chain network design that considers incentives for using cleaner technologies. Journal of Cleaner Production. 2019;213:1035–1050. Available from: https://dx.doi.org/10.1016/j.jclepro.2018.12.197
Eskandari-Khanghahi M, Tavakkoli-Moghaddam R, Taleizadeh AA, Amin SH. Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty. Engineering Applications of Artificial Intelligence. 2018;71:236–250. Available from: https://dx.doi.org/10.1016/j.engappai.2018.03.004
Zahiri B, Zhuang J, Mohammadi M. Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review. 2017;103:109–142. Available from: https://dx.doi.org/10.1016/j.tre.2017.04.009
Eskandarpour M, Dejax P, Miemczyk J, Péton O. Sustainable supply chain network design: An optimization-oriented review. Omega. 2015;54:11–32. Available from: https://dx.doi.org/10.1016/j.omega.2015.01.006
Mohebalizadehgashti F, Zolfagharinia H, Amin SH. Designing a green meat supply chain network: A multi-objective approach. International Journal of Production Economics. 2020;219:312–327. Available from: https://dx.doi.org/10.1016/j.ijpe.2019.07.007
Varsei M, Polyakovskiy S. Sustainable supply chain network design: A case of the wine industry in Australia. Omega. 2017;66:236–247. Available from: https://dx.doi.org/10.1016/j.omega.2015.11.009
Daghigh R, Jabalameli MS, Amiri AB, Pishvaee MS. A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertaint. International Journal of Industrial Engineering Computations. 2016;7(4):615–634. Available from: https://dx.doi.org/10.5267/j.ijiec.2016.3.003
Babazadeh R, Razmi J, Pishvaee MS, Rabbani M. A sustainable second-generation biodiesel supply chain network design problem under risk. Omega. 2017;66:258–277. Available from: https://dx.doi.org/10.1016/j.omega.2015.12.010
Rohmer SUK, Gerdessen JC, Claassen GDH. Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis. European Journal of Operational Research. 2019;273(3):1149–1164. Available from: https://dx.doi.org/10.1016/j.ejor.2018.09.006
Arvan M, Tavakoli-Moghadam R, Abdollahi M. Designing a bi-objective and multi-product supply chain network for the supply of blood. Uncertain Supply Chain Management. 2015;3(1):57–68. Available from: https://dx.doi.org/10.5267/j.uscm.2014.8.004
Diabat A, Jabbarzadeh A, Khosrojerdi A. A perishable product supply chain network design problem with reliability and disruption considerations. International Journal of Production Economics. 2019;212:125–138. Available from: https://dx.doi.org/10.1016/j.ijpe.2018.09.018
Isaloo F, Paydar MM. 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. 2020;15(1):26–38. Available from: https://dx.doi.org/10.1080/17509653.2019.1592720
Yakavenka V, Mallidis I, Vlachos D, Iakovou E, Eleni Z. Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products. Annals of Operations Research. 2020;294(1-2):593–621. Available from: https://dx.doi.org/10.1007/s10479-019-03434-5
Tsao YC. Designing a supply chain network for deteriorating inventory under preservation effort and trade credits. International Journal of Production Research. 2016;54(13):3837–3851.
Jouzdani J, Fathian M, Makui A, Heydari M. Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study. Operational Research. 2020;20(3):1811–1840. Available from: https://dx.doi.org/10.1007/s12351-018-0395-0
Savadkoohi E, Mousazadeh M, Torabi SA. A possibilistic location-inventory model for multi-period perishable pharmaceutical supply chain network design. Chemical Engineering Research and Design. 2018;138:490–505. Available from: https://dx.doi.org/10.1016/j.cherd.2018.09.008
Dagne TB, Jayaprakash J, Geremew S. Design of Supply Chain Network Model for Perishable Products with Stochastic Demand: An Optimized Model. Journal of Optimization in Industrial Engineering. 2020;13(1):29–37.
Guo Y, Hu F, Allaoui H, Boulaksil Y. A distributed approximation approach for solving the sustainable supply chain network design problem. International Journal of Production Research. 2019;57(11):3695–3718. Available from: https://dx.doi.org/10.1080/00207543.2018.1556412
Halim I, Ang P, Adhitya A. A decision support framework and system for design of sustainable pharmaceutical supply chain network. Clean Technologies and Environmental Policy. 2019;21:431–446. Available from: https://dx.doi.org/10.1007/s10098-018-1646-8
Govindan K, Jafarian A, Khodaverdi R, Devika K. Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics. 2014;152:9–28. Available from: https://dx.doi.org/10.1016/j.ijpe.2013.12.028
Yun Y, Chuluunsukh A, Gen M. Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach. Mathematics. 2020;8(1):84. Available from: https://dx.doi.org/10.3390/math8010084
Sabouhi F, Pishvaee MS, Jabalameli MS. Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain. Computers & Industrial Engineering. 2018;126:657–672. Available from: https://dx.doi.org/10.1016/j.cie.2018.10.001
Moghaddam ST, Javadi M, Molana SMH. A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization. Journal of Industrial Engineering International. 2019;15(4):709–721. Available from: https://dx.doi.org/10.1007/s40092-018-0287-1
Mousazadeh M, Torabi SA, Zahiri B. A robust possibilistic programming approach for pharmaceutical supply chain network design. Computers & Chemical Engineering. 2015;82:115–128. Available from: https://dx.doi.org/10.1016/j.compchemeng.2015.06.008
Zahiri B, Jula P, Tavakkoli-Moghaddam R. Design of a pharmaceutical supply chain network under uncertainty considering perishability and substitutability of products. Information Sciences. 2018;423:257–283. Available from: https://dx.doi.org/10.1016/j.ins.2017.09.046
Musavi M, Bozorgi-Amiri A. A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Computers & Industrial Engineering. 2017;113:766–778. Available from: https://dx.doi.org/10.1016/j.cie.2017.07.039
Jiang Y, Zhao Y, Dong M, Han S. Sustainable Supply Chain Network Design with Carbon Footprint Consideration: A Case Study in China. Mathematical Problems in Engineering. 2019;p. 1–19.
Yavari M, Zaker H. Designing a resilient-green closed loop supply chain network for perishable products by considering disruption in both supply chain and power networks. Computers & Chemical Engineering. 2020;134. Available from: https://dx.doi.org/10.1016/j.compchemeng.2019.106680

Copyright

© 2021 Al-Ashhab et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)