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Titlebook: Supply Chain Disruption Management; Using Stochastic Mix Tadeusz Sawik Book 2020Latest edition The Editor(s) (if applicable) and The Author

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樓主: Gram114
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發(fā)表于 2025-3-28 16:28:49 | 只看該作者
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發(fā)表于 2025-3-29 02:45:07 | 只看該作者
Selection of Dynamic Supply Portfolioply delays. The proposed approach is capable of optimizing the dynamic supply portfolio by calculating value-at-risk of cost per part and minimizing expected worst-case cost per part simultaneously. Numerical examples are presented and some computational results are reported. The major managerial in
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發(fā)表于 2025-3-29 05:00:23 | 只看該作者
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發(fā)表于 2025-3-29 22:12:15 | 只看該作者
A Robust Decision-Making under Disruption Risksoblem is formulated as a mixed integer program with conditional value-at-risk as a risk measure. The ordered weighted averaging aggregation of the expected value and the conditional value-at-risk of the selected optimality criterion are applied to obtain a robust solution. The risk-neutral, risk-ave
49#
發(fā)表于 2025-3-30 01:27:40 | 只看該作者
Selection of Primary and Recovery Supply Portfolios and Schedulingo and production schedule for each scenario. For the integrated and the hierarchical decision-making, stochastic mixed integer programming models are developed with the two risk-neutral conflicting objectives that account for both time and cost of recovery: minimizing expected cost or maximizing exp
50#
發(fā)表于 2025-3-30 05:43:48 | 只看該作者
Selection of Primary and Recovery Supply and Demand Portfolios and Scheduling selection of supply, transshipment and demand portfolios is determined simultaneously with production scheduling in assembly plants.An integrated decision-makingapproach with the perfect information about the potential future disruption scenarios is compared with a hierarchical approach with no suc
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