• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

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

Original Article

Perishable products supply chain network design with sustainability

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


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


  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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.
  17. 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
  18. 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
  19. 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.
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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.


© 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)


Subscribe now for latest articles and news.