Facility location problems form an important class of integer programming problems, with application in the distribution and transportation industries. In this paper we are concerned with a particular type of facility location problem in which there exist two echelons of facilities. Each facility in
An exact algorithm for the capacitated facility location problems with single sourcing
✍ Scribed by Kaj Holmberg; Mikael Rönnqvist; Di Yuan
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 168 KB
- Volume
- 113
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
✦ Synopsis
Facility location problems are often encountered in many areas such as distribution, transportation and telecommunication. We describe a new solution approach for the capacitated facility location problem in which each customer is served by a single facility. An important class of heuristic solution methods for these problems are Lagrangian heuristics which have been shown to produce high quality solutions and at the same time be quite robust. A primal heuristic, based on a repeated matching algorithm which essentially solves a series of matching problems until certain convergence criteria are satis®ed, is incorporated into the Lagrangian heuristic. Finally, a branch-and-bound method, based on the Lagrangian heuristic is developed, and compared computationally to the commercial code CPLEX. The computational results indicate that the proposed method is very ecient.
📜 SIMILAR VOLUMES
The aim of this article is to develop an exact algorithm for the asymmetrical capacitated vehicle routing problem, i.e., the multiple traveling salesman problem subject to capacity restrictions. The problem is solved by means of a branch and bound tree in which subproblems are modified assignment pr
We consider the k-level stochastic facility location problem. For this, we present an LP rounding algorithm that is 3-approximate. This result is achieved by a novel integer linear programming formulation that exploits the stochastic structure.