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Tammy Drezner
Researcher at California State University, Fullerton
Publications - 77
Citations - 3118
Tammy Drezner is an academic researcher from California State University, Fullerton. The author has contributed to research in topics: Facility location problem & Market share. The author has an hindex of 31, co-authored 75 publications receiving 2749 citations. Previous affiliations of Tammy Drezner include California State University & California State University, Dominguez Hills.
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Competitive supply chain network design: An overview of classifications, models, solution techniques and applications
TL;DR: In this paper, the authors provide a review of the competitive supply chain network design literature and highlight the effects of competitive environment on SCND, and develop a general framework for modeling the competitive SCND problems considering managerial insight and propose potential areas for future research.
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Optimal continuous location of a retail facility, facility attractiveness, and market share: An interactive model
TL;DR: In this article, a model for the location of a retail facility anywhere in the plane is presented and a sensitivity analysis of both the best location and the market share captured is provided.
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Locating a single new facility among existing, unequally attractive facilities*
TL;DR: In this article, the location of a new facility in a competitive environment is investigated, where customers patronize the facility with the highest utility value rather than the closest facility, and the new approach yields a superior location in terms of market size captured.
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Solving the multiple competitive facilities location problem
TL;DR: This paper performs extensive computational tests and concludes that a two-step heuristic procedure combining simulated annealing and an ascent algorithm provides the best solutions for the solution of the multiple competitive facilities location problem.
Journal Article
Locating a single new facility among existing unequally attractive facilities
TL;DR: Simulations show that the new approach yields a superior location in terms of market size captured, and sensitivity analyses of the problem parameters illustrate the sensitivity of the location and the sensitive of the market size capture to the facility's quality.