Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 9, Pages: 787-800
Original Article
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
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
© 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)
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