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- W3048871213 endingPage "102166" @default.
- W3048871213 startingPage "102166" @default.
- W3048871213 abstract "The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these facilities. This paper reviews the existing literature on the use of simulation-optimization methods in the design of resilient SCNs. From this review, we classify some of the many works in the topic according to factors such as their methodology, the approach they use to deal with uncertainty and risk, etc. The paper also identifies several research opportunities, such as the inclusion of multiple criteria (e.g., monetary, environmental, and social dimensions) during the design-optimization process and the convenience of considering hybrid approaches combining metaheuristic algorithms, simulation, and machine learning methods to account for uncertainty and dynamic conditions, respectively." @default.
- W3048871213 created "2020-08-18" @default.
- W3048871213 creator A5039613737 @default.
- W3048871213 creator A5047377759 @default.
- W3048871213 creator A5072993141 @default.
- W3048871213 creator A5078895046 @default.
- W3048871213 creator A5081277076 @default.
- W3048871213 date "2021-01-01" @default.
- W3048871213 modified "2023-10-18" @default.
- W3048871213 title "Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review" @default.
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