Issue |
RAIRO-Oper. Res.
Volume 55, Number 3, May-June 2021
|
|
---|---|---|
Page(s) | 1643 - 1674 | |
DOI | https://doi.org/10.1051/ro/2021068 | |
Published online | 17 June 2021 |
A hybrid NSGA-II algorithm for the closed-loop supply chain network design in e-commerce
1
School of Industrial & Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran.
2
School of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran
* Corresponding author: mrabani@ut.ac.ir
Received:
23
October
2020
Accepted:
20
April
2021
Designing the supply chain network is one of the significant areas in e-commerce business management. This concept plays a crucial role in e-commerce systems. For example, location-inventory-pricing-routing of an e-commerce supply chain is considered a crucial issue in this field. This field established many severe challenges in the modern world, like maintaining the supply chain for returned items, preserving customers’ trust and satisfaction, and developing an applicable supply chain with cost considerations. The research proposes a multi-objective mixed integer nonlinear programming model to design a closed-loop supply chain network based on the e-commerce context. The proposed model incorporates two objectives that optimize the business’s total profits and the customers’ satisfaction. Then, numerous numerical examples are generated and solved using the epsilon constraint method in GAMS optimization software. The validation of the given model has been tested for the large problems via a hybrid two-level non-dominated sort genetic algorithm. Finally, some sensitivity analysis has been performed to provide some managerial insights.
Mathematics Subject Classification: 62A86 / 90B05 / 90B06 / 90B15
Key words: E-commerce / supply chain design / customer retention and acquisition / hybrid NSGA II / location-inventory-pricing-routing problem
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
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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