Issue |
RAIRO-Oper. Res.
Volume 58, Number 6, November-December 2024
|
|
---|---|---|
Page(s) | 5121 - 5158 | |
DOI | https://doi.org/10.1051/ro/2024183 | |
Published online | 06 December 2024 |
Integrating the triple bottom line of sustainability, resilience strategies, and product perishability consideration to design a pharmaceutical supply chain network: a COVID-19 case study
School of Industrial Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran
* Corresponding author: gholamian@iust.ac.ir
Received:
21
February
2023
Accepted:
12
September
2024
This paper aims to design a resilient and sustainable pharmaceutical supply chain network under the perishability of medicine in which a multi-objective nonlinear mathematical model is formulated. To this end, four objective functions seek to minimize total cost, maximize the social indicators, minimize CO2 emission and minimize de-resilience measures. Moreover, the three main categories of resilience strategies are integrated to mitigate the severe impacts of disruption. In order to solve the model, lexicographic goal programming is applied for small-scale problems, and NSGA-II is utilized for large-scale problems. The applicability of the proposed model is demonstrated by implementing it in a real case study during the COVID-19 situation. Also, a set of sensitivity analyses is conducted to validate the model and show the behavior of the objective functions. The results reveal the superiority of the resilient model with integrated strategies. Eventually, the Pareto front solutions are provided to quantify the trade-offs in satisfying the conflicting objective functions.
Mathematics Subject Classification: 90B06 / 90B50 / 90B80 / 90B90 / 90C11 / 90C29 / 68W50
Key words: Pharmaceutical supply chain / supply chain resilience / sustainable development / disruption risk / perishability / COVID-19
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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