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


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
Issue number4
Publication statusPublished - 2014


Dive into the research topics of 'A robust optimization model for a supply chain under uncertainty'. Together they form a unique fingerprint.

Cite this