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Uncertainty quantification with risk measures in production planning
Journal of Mathematics in Industry Pub Date : 2020-02-18 , DOI: 10.1186/s13362-020-00074-4
Simone Göttlich , Stephan Knapp

This paper is concerned with a simulation study for a stochastic production network model, where the capacities of machines may change randomly. We introduce performance measures motivated by risk measures from finance leading to a simulation based optimization framework for the production planning. The same measures are used to investigate the scenario when capacities are related to workers that are randomly not available. This corresponds to the study of a workforce planning problem in an uncertain environment.

中文翻译:

生产计划中的不确定性量化与风险衡量

本文涉及对随机生产网络模型的仿真研究,其中机器的容量可能会随机变化。我们介绍了受财务风险措施激励的绩效指标,从而得出了基于模拟的生产计划优化框架。当能力与随机不可用的工人相关时,使用相同的方法来调查方案。这对应于对不确定环境中的劳动力规划问题的研究。
更新日期:2020-02-18
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