Competitive facility location and design with reactions of competitors already in the market
| Autor: | Nasreddine Saidani, Haoxun Chen, Feng Chu |
|---|---|
| Přispěvatelé: | Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Function approximation
Mathematical optimization Information Systems and Management Competitive facility location and design General Computer Science Operations research Computer science Branch-and-bound 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Nash equilibrium symbols.namesake 1-center problem 0202 electrical engineering electronic engineering information engineering Market share Global optimization Service quality 021103 operations research Branch and bound Probabilistic logic Competitor analysis [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Facility location problem Modeling and Simulation symbols 020201 artificial intelligence & image processing |
| Zdroj: | European Journal of Operational Research European Journal of Operational Research, Elsevier, 2012, 219 (1), pp.9-17. ⟨10.1016/j.ejor.2011.12.017⟩ European Journal of Operational Research, 2012, 219 (1), pp.9-17. ⟨10.1016/j.ejor.2011.12.017⟩ |
| ISSN: | 0377-2217 1872-6860 |
| DOI: | 10.1016/j.ejor.2011.12.017⟩ |
| Popis: | International audience; A new retail facility is to locate and its service quality is to determine where similar facilities of competitors offering the same goods are already present. The market share captured by each facility depends on its distance to customers and its quality, which is described by a probabilistic Huff-like model. In order to maximize the profit of the new facility, a two-stage method is developed, which takes into account the reactions of the competitors. In the quality decision stage, the competitive decision process occurring among facilities is modelled as a game, whose solution is given by its Nash equilibrium. The solution, which can be represented as functions of the location of the new facility, is obtained by analytical resolution of a system of equations in the case of one facility in the market or by polynomial approximation in the case of multiple facilities. In the location decision stage, an interval based global optimization method is used to determine the best location of the new facility. Numerical experiments on randomly generated instances demonstrate the effectiveness of the method. |
| Databáze: | OpenAIRE |
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