Optimal facility location problemunder stochastic construction cost and barriers
نویسندگان
چکیده
منابع مشابه
Dynamic Facility Location with Stochastic Demand
Determination of facilities, such as factories or warehouses, location and availability conditions is one of the important and strategic decisions for an organization to make. Transportation costs that form a major part of goods price are dependent to this decision making. There are verity of methods have been presented to achieve the optimal locations of these facilities which are generally de...
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Dr. Christoph Witzgall, the honoree of this Symposium, can count among his many contributions to applied mathematics and mathematical operations research a body of widely-recognized work on the optimal location of facilities. The present paper offers to non-specialists a sketch of that field and its evolution, with emphasis on areas most closely related to Witzgall's research at NBS/NIST.
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We consider cost sharing for a class of facility location games, where the strategy spaceof each player consists of the bases of a player-specific matroid defined on the set of re-sources. We assume that resources have nondecreasing load-dependent costs and player-specific delays. Our model includes the important special case of capacitated facility loca-tion problems, where...
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Network location models comprise one of the main categories of location models. These models have various applications in regional and urban planning as well as in transportation, distribution, and energy management. In a network location problem, nodes represent demand points and candidate locations to locate the facilities. If the links network is unchangeably determined, the problem will be ...
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In this paper, a Stochastic Dynamic Facility Location Problem (SDFLP) is formulated. In the first part, an exact solution method based on stochastic dynamic programming is given. It is only usable for small instances. In the second part a Monte Carlo based method for solving larger instances is applied, which is derived from the Sample Average Approximation (SAA) method.
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ژورنال
عنوان ژورنال: International Journal of Japan Association for Management Systems
سال: 2016
ISSN: 1884-2089,2188-2460
DOI: 10.14790/ijams.8.35