Robust stochastic facility location
This work focuses on a broad class of facility location problems in the context of adaptive robust stochastic optimization under the state-dependent demand uncertainty. The demand is assumed to be significantly affected by related state information, such as the seasonal or socio-economic information. In particular, a state-wise ambiguity set is ... WebAug 17, 2024 · Section 4 establishes the robust competitive facility location model. Section 5 gives the exact algorithm for the inner-layer problem, and proposes a heuristic algorithm by embedding the inner algorithm into the framework of the ranking-based procedure.
Robust stochastic facility location
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WebMar 19, 2024 · Robust optimization comes from robust control theory and can be regarded as a supplement of stochastic optimization and sensitivity analysis, which is not necessary to know the probability distribution of uncertain parameters . Sun et al. proposed a biobjective robust optimization model to decide the facility location, emergency resource ... WebSep 3, 2004 · According to the classification of [39,41] divided facility location problems under uncertainty into two types: stochastic location problem and robust location problem, depending on...
WebMentioning: 32 - Reverse logistics, Stochastic programming, Multicriteria optimization, 90B06, 90B80, 90B90, 90C06, 90C15, 90C29, WebDec 29, 2024 · Stochastic, dynamic, and robust facility location models can be used to respond to real situations. The dynamic programming model is effective for solving multi-stage decision problems. However, the calculation amount of the dynamic facility location problem increases dramatically when the dimension of decision variables increases.
Webfacility location component of supply chain network design under uncertainty (see for example [23]). However, research addressing comprehensive design of supply chain networks under uncertainty is significantly smaller in number. Gutierrez et al. [10] proposed a robust optimization framework for network design under uncertainty. WebMethodology: Optimization under uncertainty (robust, stochastic, dynamic) and prescriptive analytics Applications: Revenue management, public policy, nance, supply chain …
WebDec 21, 2024 · Parragh et al. ( 2024) propose an uncertain bi-objective facility location problem considering stochastic demand in a disaster relief context. They formulate the uncertainty using a scenario-based two-stage risk-neutral stochastic approach.
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