| Issue |
RAIRO-Oper. Res.
Volume 57, Number 4, July-August 2023
|
|
|---|---|---|
| Page(s) | 1957 - 1981 | |
| DOI | https://doi.org/10.1051/ro/2023083 | |
| Published online | 24 July 2023 | |
A robust optimization approach for the production-routing problem with lateral transshipment and outsourcing*
1
Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada
2
Interuniversity Research Center on Enterprise Networks, Logistics and Transportation (CIRRELT), Montreal, Canada
3
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
* Corresponding author: pedram.farghadani-chaharsooghi@mail.concordia.ca; pedramfarghadani@gmail.com
Received:
21
July
2022
Accepted:
7
June
2023
Despite the fact that there is a large body of literature on the Production Routing Problem (PRP), we were struck by the dearth of research on outsource planning and lateral transshipment. This paper presents a mixed-integer linear programming model for incorporating outsourcing, lateral transshipment, back ordering, lost sales, and time windows into production routing problems. Then a robust optimization model will be introduced to overcome the detrimental effects of demand uncertainty. Considering the scale and complexity of the suggested problem, addressing it in a reasonable time was a challenge. Therefore, three matheuristic algorithms, including Genetic Algorithm (GA), Simulated Annealing (SA), and Modified Simulated Annealing (MSA), are developed for solving large-scale problems. Eventually, computational experiments on disparate instances are performed, and the results show the effectiveness and efficiency of the proposed algorithms. In other words, our recommended algorithms outperform the CPLEX solver in terms of the quality and time of obtaining the solutions.
Mathematics Subject Classification: 65K05 / 90B05 / 90B06 / 90C90 / 90C17
Key words: Supply chain Management / production-routing problem / outsourcing / lateral transshipment / demand uncertainty / robust optimization
The Supplementary Material is available in electronic form at https://www.rairo-ro.org/10.1051/ro/2023083/olm.
© The authors. Published by EDP Sciences, ROADEF, SMAI 2023
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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