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Locating facilities in a competitive environment
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
Number of Authors: 22017 (English)In: Optimization Letters, ISSN 1862-4472, E-ISSN 1862-4480, Vol. 11, no 5, p. 929-945Article in journal (Refereed) Published
Abstract [en]

The research work dealing with the bi-level formulation of location problems is limited only to the competition among the locators, that is, it is supposed that either both the locator and the allocator are the same or the customer knows the optimality criterion of the locator and agrees passively with it. Customers’ preferences as well as externalities (such as road congestion, facility congestion, emissions etc) caused by the location decisions are either ignored or controlled by incorporating constraints in order to ensure the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or intensive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior. We suppose that the customers are involved in a Nash game in order to ensure what they conceive as the best level of services for themselves. In order to take into consideration the effects of such competition in the facilities location decisions we propose a bi-level programming approach to the problem.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 11, no 5, p. 929-945
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-10217DOI: 10.1007/s11590-015-0963-7ISI: 000401258300004Scopus ID: 2-s2.0-84944704074Local ID: 8fa78140-bf79-486b-b0ab-e64dc74e60c8OAI: oai:DiVA.org:ltu-10217DiVA, id: diva2:983157
Conference
4th World Congress on Global Optimization (WCGO), Gainesville, FL, February 22-25 2017
Note

2017-05-12 (andbra);Konferensartikel i tidskrift

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-09-27Bibliographically approved

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Karakitsiou, AthanasiaMigdalas, Athanasios

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