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Simulation-Optimization for Business Decision Support in a Global Specialty Chemicals Enterprise

机译:全球特种化学品企业中业务决策支持的仿真优化

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To tap on the vast business opportunities offered by globalization, companies arernincreasingly shifting from single-site manufacturing to multi-site enterprise operation.rnThis results in a more complex supply chain structure, involving numerous entities inrndifferent locations with intricate dynamics. The optimization of such systems is notrnamenable to mathematical programming approaches. In this paper, we propose arnsimulation-optimization framework for business decision support in a global specialtyrnchemicals enterprise. A dynamic simulation model is used to capture the behavior of thernentities, their interactions, the various uncertainties, and the resulting dynamics.rnOptimization is done by coupling simulation with a non-dominated sorting geneticrnalgorithm, implemented in a parallel computing environment for computationalrnefficiency. The application of the proposed approach for business decision support arerndemonstrated in two case studies.
机译:为了利用全球化提供的巨大商机,公司越来越多地从单站点制造转移到多站点企业运营。这导致供应链结构更加复杂,涉及众多实体,在不同地点具有复杂的动态。这样的系统的优化对于数学编程方法是不明显的。在本文中,我们提出了一种用于全球特种化学品企业的业务决策支持的仿真优化框架。使用动态仿真模型来捕获频率的行为,它们的相互作用,各种不确定性以及由此产生的动力学。通过将模拟与非支配排序遗传算法相结合来实现优化,并在并行计算环境中实现该算法以提高计算效率。在两个案例研究中演示了所提出的方法在业务决策支持中的应用。

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