Journal Article10.1016/J.COR.2018.02.013
Exact method for the capacitated competitive facility location problem
V. L. Beresnev,A. A. Melnikov +1 more
30
TL;DR: A branch-and-bound algorithm where an estimating problem in a form of mixed-integer programming is utilized to calculate an upper bound for values of the objective function is suggested and the quality of the upper bound and the performance of the method on randomly generated inputs is studied.
read more
About: This article is published in Computers & Operations Research. The article was published on 01 Jul 2018. The article focuses on the topics: Facility location problem & Stackelberg competition.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Location optimization of a competitive distribution center for urban cold chain logistics in terms of low-carbon emissions
TL;DR: In this paper, the authors proposed a model to assist the decision-making process regarding the choice of location where cold chain logistics facilities might be sited, where the upper level of government aims to determine an optimal location and scale for a cold chain distribution center as well as a rational trading policy regarding carbon emissions to minimize the total social cost of the whole logistics system.
48
Optimizing dynamic facility location-allocation for agricultural machinery maintenance using Benders decomposition
TL;DR: This paper focuses on optimizing a dynamic facility location-allocation problem with respect to a real-life agricultural machinery maintenance service network that is designed to achieve the prompt and reliable response to malfunctioning agricultural machinery during harvest.
34
Restaurant analytics: Emerging practice and research opportunities
TL;DR: This study focuses on discussing the most promising research opportunities in restaurant operations that leverage data analytics, and focuses on specific research questions across restaurant decision domains such as location, reservation and table management, queue management, menu design and engineering, and multichannel order management.
19
Locating multiple capacitated semi-obnoxious facilities using evolutionary strategies
TL;DR: This is the first known paper solving this class of problem for more than one facility in continuous space where capacity is considered, and using a bi-objective evolutionary strategy algorithm that seeks to minimize social and non-social costs.
15
Approximation of the competitive facility location problem with MIPs
V. L. Beresnev,A. A. Melnikov +1 more
TL;DR: This work introduces an exponential family of inequalities satisfied by all the feasible solutions of the bi-level model and shows some properties of these inequalities.
15
References
Stability in Competition
TL;DR: In this paper, it was shown that if the purveyor of an article gradually increases his price while his rivals keep theirs fixed, the diminution in volume of his sales will in general take place continuously rather than in the abrupt way which has tacitly been assumed.
8.4K
Sequential location problems
Horst A. Eiselt,Gilbert Laporte +1 more
TL;DR: The sensitivity of the basic model is emphasized, i.e., the changes that occur when assumptions are dropped or replaced by others, and a number of issues that have, at least so far, not been addressed are addressed.
151
Benders decomposition without separability: A computational study for capacitated facility location problems
TL;DR: The outcome is that a clever but simple implementation of the Benders approach can be very effective even without separability, as its performance is comparable and sometimes even better than that of the most effective and sophisticated algorithms proposed in the previous literature.
145
A leader-follower game in competitive facility location
TL;DR: A bilevel mixed-integer nonlinear programming model where the firm entering the market is the leader and the competitor is the follower is formulated and heuristics that combine tabu search with exact solution methods are proposed.
83
A leader-follower model for discrete competitive facility location
TL;DR: A leader-follower (Stackelberg equilibrium) competitive location model based on the concept of cover where the objective of the leader is to maximize his market share following the follower's reaction.
74