Advances in Engineering Software
Review: Generalized coverage: New developments in covering location models
Computers and Operations Research
A hybrid tabu search heuristic for a bilevel competitive facility location model
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
Strategic design of competing supply chain networks with foresight
Advances in Engineering Software
A leader-follower game in competitive facility location
Computers and Operations Research
Optimal location policy for three competitive facilities
Computers and Industrial Engineering
Local search algorithms for the problem of competitive location of enterprises
Automation and Remote Control
An efficient algorithm for arbitrary reverse furthest neighbor queries
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
A Stackelberg solution for fuzzy random competitive location problems with demand site uncertainty
Intelligent Decision Technologies
A Stackelberg hub arc location model for a competitive environment
Computers and Operations Research
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We adapt the competitive location model based on maximal covering to include the knowledge that a competitor will enter the market later with a single new facility. The objective is to locate facilities under a budget constraint in order to maximise the remaining market share after the competitor's later entry. We develop mixed zero-one programming formulations for each of the following three strategies: the maxmin strategy where the worst possible competitor choice is considered, the minimum regret strategy, and the von Stackelberg strategy in which the competitor also optimises its market share. Some computational results show the feasibility and limits of these models.