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A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network

Goodarzian, Fariba; Kumar, Vikas; Ghasemi, Peiman

Authors

Fariba Goodarzian

Peiman Ghasemi



Abstract

In this paper, we propose a new multi-objective optimization approach for the pharmaceutical supply chain network (PSCN) design problem to minimize the total cost and the delivery time of pharmaceutical products to the hospital and pharmacy, while maximizing the reliability of the transportation system. A new mixed-integer non-linear programming model was developed for the production-allocation-distribution-inventory-ordering-routing problem. Three new heuristics (H-1), (H-2), and (H-3) have been proposed and to validate the model, two new meta-heuristic algorithms, namely, an Improved Social Engineering Optimization (ISEO) and Hybrid Firefly and Simulated Annealing Algorithm (HFFA-SA) have been developed. The proposed mathematical model has been evaluated through extensive simulation experiments by analyzing different criteria. The results show that the proposed model along with the solution method provides a reliable and powerful instrument to solve the PSCN design problem.

Citation

Ghasemi, P., Goodarzian, F., & Kumar, V. (2021). A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network. Computers and Industrial Engineering, 158, https://doi.org/10.1016/j.cie.2021.107389

Journal Article Type Article
Acceptance Date May 4, 2021
Online Publication Date May 7, 2021
Publication Date Aug 1, 2021
Deposit Date May 4, 2021
Publicly Available Date Nov 8, 2022
Journal Computers and Industrial Engineering
Print ISSN 0360-8352
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 158
Article Number 107389
DOI https://doi.org/10.1016/j.cie.2021.107389
Keywords Pharmaceutical supply chain network; Heuristic algorithms; Improved Social Engineering Optimization; Hybrid Firefly and Simulated Annealing Algorithm; multi-objective optimization
Public URL https://uwe-repository.worktribe.com/output/7338015