### Abstract

Original language | English |
---|---|

Pages (from-to) | 387-402 |

Journal | IMA Journal of Management Mathematics |

Volume | 25 |

Issue number | 4 |

DOIs | |

State | Published - 2014 |

### Cite this

*IMA Journal of Management Mathematics*,

*25*(4), 387-402. DOI: 10.1093/imaman/dpt014

}

*IMA Journal of Management Mathematics*, vol 25, no. 4, pp. 387-402. DOI: 10.1093/imaman/dpt014

**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.

Research output: Scientific - peer-review › Article

TY - JOUR

T1 - A robust optimization model for a supply chain under uncertainty

AU - Hosseini,S.

AU - Farahani,R.Z.

AU - Dullaert,W.E.H.

AU - Raa,B.

AU - Rajabi,M.

AU - Bolhari,A.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1093/imaman/dpt014

DO - 10.1093/imaman/dpt014

M3 - Article

VL - 25

SP - 387

EP - 402

JO - IMA Journal of Management Mathematics

T2 - IMA Journal of Management Mathematics

JF - IMA Journal of Management Mathematics

SN - 1471-678X

IS - 4

ER -