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Throughput/inventory dollar-days: TOC-based measures for supply chain collaboration

机译:吞吐量/库存美元日:基于TOC的供应链协作措施

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As the semiconductor industry moves away from vertical integration, performance measures play an increasingly important role to ensure effective collaboration. This paper demonstrates that the theory of constraints (TOC)-based measures, Throughput and Inventory Dollar-Days (T/IDD), induce autonomous supply chain (SC) links to function as a synergistic whole and thereby, improve the performance of the whole SC network significantly. We model an SC network of a well-known TOC case study using discrete event simulation and discuss managerial implications of these measures via a set of scenarios. The scenarios explain how these measures - without sharing sensitive financial data - allow members of an SC network to monitor both the effectiveness (TDD) and efficiency (IDD) of SC members and lead them to create win-win solutions following well-known TOC-based planning and control concepts. We conclude this paper by discussing some limitations of the proposed research and provide directions for future theoretical research.
机译:随着半导体行业摆脱垂直整合,性能指标在确保有效协作方面扮演着越来越重要的角色。本文证明了基于约束(TOC)的度量理论,吞吐量和库存美元天数(T / IDD)可以诱导自主供应链(SC)链接发挥协同整体作用,从而提高整体绩效SC网络明显。我们使用离散事件模拟为一个著名的TOC案例研究的SC网络建模,并通过一组场景讨论这些措施的管理意义。这些方案说明了这些措施如何在不共享敏感财务数据的情况下允许SC网络成员监视SC成员的有效性(TDD)和效率(IDD)并引导他们遵循著名的TOC-基于计划和控制的概念。通过讨论所提出研究的局限性来结束本文,并为未来的理论研究提供指导。

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