A design model and a production–distribution and inventory planning model in multi-product supply chain networks

Kostis Taxakis, Chrissoleon Papadopoulos

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Supply chain network (SCN) design implicates decision-making at a strategic level. That includes selecting the right suppliers and determining the number and the location of plants, distribution centres and retailers. An apt design model of the supply chain is imperative for the proper function of the supply chain and consequently for making better operational decisions in an attempt of a continuous improvement. In this paper, we propose two models. The first model is a mixed-integer linear programming model which is concerned with the SCN design problem, whereas the second operational model is a mixed-integer non-linear programming model in respect to the production–distribution and inventory planning problem in a supply chain network. The number of customers and suppliers as well as their demand and capacities are assumed to be known in both models. Two steady-state genetic algorithms were implemented in MATLAB in order to solve both the design and the operational model. The results were compared with GAMS. Some examples were devised in order to demonstrate potential ways of use for the designer of the supply chain network, as well as for the supply chain manager.

Original languageEnglish
Pages (from-to)6436-6457
Number of pages22
JournalInternational Journal of Production Research
Volume54
Issue number21
DOIs
Publication statusPublished - Nov 1 2016
Externally publishedYes

Keywords

  • genetic algorithm
  • production–distribution and inventory planning
  • supply chain network design

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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