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- W2080430122 abstract "Existing simulation tools are able to map large size supply chains and can accommodate complex random phenomena. Nevertheless, they have significant weakness in the power of decision-making. Indeed, most of the problems of decision-making are typically determined by simplified rules. For this reason, involving optimisation tools in decision-making will allow the simulation to explore the real performance of a supply chain. Motivated by the limitations of existing supply chains simulation and optimisation tools, the aim of this study is to combine them in a single tool. More specifically, we aim to develop an 'intelligent' simulation tool with an embedded optimisation tool to solve various decision-making problems encountered during the simulation of a complex supply chain. Including an optimisation tool in a simulation tool allows accurate assessment of supply chains performances and overcome the lack of powers of decision-making in traditional simulation tools." @default.
- W2080430122 created "2016-06-24" @default.
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- W2080430122 date "2011-01-01" @default.
- W2080430122 modified "2023-09-28" @default.
- W2080430122 title "Production-distribution network analysis using an intelligent simulator" @default.
- W2080430122 doi "https://doi.org/10.1504/ijsoi.2011.038318" @default.
- W2080430122 hasPublicationYear "2011" @default.
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