A Pareto-based optimisation algorithm for a multi-objective integrated production-distribution planning problem of a multi-echelon supply chain network design

Keyvan Sarrafha, Abolfazl Kazemi, Alireza Alinezhad and Seyed Taghi Akhavan Niaki

International Journal of Services and Operations Management, 2021, vol. 38, issue 1, 40-72

Abstract: This paper addresses a multi-periodic supply chain network design (SCND) problem involving suppliers, manufacturers, distribution centres (DCs), and customer zones (CZs). Logistic decisions made in each time period have a tactical nature. Location/strategic decisions are made at the beginning of the time horizon and remain unchanged until the last period. While both backorders and lost sales are considered, the aim is to design the supply chain network (SCN) under three minimisation objectives including total costs, the transfer time of products to CZs, and backorder level and lost sale of products. A multi-objective mixed-integer linear programming (MILP) model is developed and a meta-heuristic algorithm named multi-objective vibration damping optimisation (MOVDO) with tuned parameters is proposed to find non-dominated solutions. The performance of this method is compared with two popular existing algorithms called NSGA-II and NRGA when they solve some randomly generated problems.

Keywords: supply chain network design; SCND; integrated production-distribution planning; production-distribution planning; PDP; multi-objective vibration damping optimisation; MOVDO; NSGA-II; non-dominated ranking genetic algorithm; NRGA; Taguchi method. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=112516 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:38:y:2021:i:1:p:40-72

Access Statistics for this article

More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().