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Hierarchical decomposition is emphasized as a crucial method for optimizing large, complex systems by breaking down intricate problems into more manageable subproblems. This strategy allows for the effective resolution of each subproblem, ultimately leading to a comprehensive solution for the original issue. The text highlights the complexity of manufacturing firms, which consist of various decision subsystems and are influenced by both deterministic and stochastic events, including equipment purchases and personnel changes.
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Hierarchical Decision Making in Stochastic Manufacturing Systems, Suresh P. Sethi, Qing Zhang
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- Année de publication
- 2012
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