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Promise and problems of simulation technology in SCM domain

机译:单片机领域仿真技术的前景与问题

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This paper begins by identifying the potential Promise of Simulation domain. It also provides a brief review of this domain and modeling methodologies as applied to supply chain optimization. Problems and solutions of this area are discussed forming the rationale behind most of the industrial practice of this author. As a result most of the deterministic business process reengineering and opportunity assessment work that needs to be done resorts to the "a priori methods". Building the simulation models costs more time and effort than implementing an equivalent solution from SAP such as APO or any part thereof in the domain of supply chain management and optimization. Against this environment and e-supply chain management as a domain of the focus, this paper describes the methodology of doing business cases with case studies to illustrate how the supply chain opportunity assessment through the blue printing process is carried out.
机译:本文从确定仿真领域的潜在承诺开始。它还简要介绍了应用于供应链优化的这一领域和建模方法。讨论了该领域的问题和解决方案,形成了该作者大部分工业实践的基本原理。结果,大多数需要进行的确定性业务流程再造和机会评估工作都依赖于“先验方法”。与在供应链管理和优化领域中从SAP实施等效解决方案(例如APO或其任何部分)相比,构建仿真模型要花费更多的时间和精力。在这种环境下,以电子供应链管理为重点,本文通过案例研究描述了开展业务案例的方法,以说明如何通过蓝图流程进行供应链机会评估。

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