A robust optimization model for a supply chain under uncertainty

S. Hosseini, R.Z. Farahani, W.E.H. Dullaert, B. Raa, M. Rajabi, A. Bolhari

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This paper focuses on the design of a distribution network problem in a three-tiered supply chain under uncertainty. The objective is to determine the optimal number, locations and capacities of plants and warehouses to minimize the overall network costs over a variety of economic growth scenarios. For this purpose, a mixed integer linear programming model is extended in a robust optimization framework and then three heuristic approaches based on genetic and memetic algorithms and a mathematical programming approach are used to solve this problem. The effectiveness of the proposed heuristics and the trade-off between model robustness and solution robustness is investigated and directions for further researches are presented.
Original languageEnglish
Pages (from-to)387-402
JournalIMA Journal of Management Mathematics
Volume25
Issue number4
DOIs
Publication statusPublished - 2014

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Robust Optimization
Optimization Model
Supply Chain
Supply chains
Model Robustness
Heuristics
Uncertainty
Memetic Algorithm
Mixed Integer Linear Programming
Distribution Network
Economic Growth
Mathematical programming
Warehouses
Mathematical Programming
Electric power distribution
Linear programming
Programming Model
Linear Model
Trade-offs
Genetic Algorithm

Cite this

Hosseini, S. ; Farahani, R.Z. ; Dullaert, W.E.H. ; Raa, B. ; Rajabi, M. ; Bolhari, A. / A robust optimization model for a supply chain under uncertainty. In: IMA Journal of Management Mathematics. 2014 ; Vol. 25, No. 4. pp. 387-402.
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A robust optimization model for a supply chain under uncertainty. / Hosseini, S.; Farahani, R.Z.; Dullaert, W.E.H.; Raa, B.; Rajabi, M.; Bolhari, A.

In: IMA Journal of Management Mathematics, Vol. 25, No. 4, 2014, p. 387-402.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Bolhari, A.

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