Article ID: | iaor20173047 |
Volume: | 29 |
Issue: | 4 |
Start Page Number: | 597 |
End Page Number: | 611 |
Publication Date: | Nov 2017 |
Journal: | INFORMS Journal on Computing |
Authors: | Arulselvan Ashwin, Rezapour Mohsen, Welz Wolfgang A |
Keywords: | retailing, location, combinatorial optimization, design, networks, heuristics |
We study a problem that integrates buy‐at‐bulk network design into the classical facility location problem. We consider a generalization of the facility location problem where multiple clients may share a capacitated network to connect to open facilities instead of requiring direct links. In this problem, we wish to open facilities, build a routing network by installing access cables of different costs and capacities, and route every client demand to an open facility. We provide a path‐based formulation and we compare it with the natural compact formulation for this problem. We then design an exact branch‐price‐and‐cut algorithm for solving the path‐based formulation. We study the effect of two families of valid inequalities. In addition to this, we present three different types of primal heuristics and employ a hybrid approach to effectively combine these heuristics in order to improve the primal bounds. We finally report the results of our approach that were tested on a set of real world instances, as well as two sets of benchmark instances and evaluate the effects of our valid inequalities and primal heuristics.