Supply chain risk and resilience: theory building through structured experiments and simulation

Supply chain risk and resilience: theory building through structured experiments and simulation
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DOI:
10.1080/00207543.2017.1421787
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发表时间:
2018-01-01
影响因子:
9.2
通讯作者:
Griffis, Stanley E.
Griffis, Stanley E.
中科院分区:
工程技术2区
文献类型:
--
作者:
Macdonald, John R.;Zobel, Christopher W.;Griffis, Stanley E.

文献摘要

被引文献

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供应链风险和复原力的研究文献正处于关键的发展阶段。研究已经确立了这些主题对研究人员和从业人员的重要性。他们还确定了导致风险的因素、风险和中断对绩效的影响,以及用于建设供应链弹性能力的战略和战术。虽然这些努力可以为构建风险和弹性理论提供支持,但由于收集必要数据的困难,研究人员目前在构建这种理论的能力方面受到限制。本文通过总结先前的研究评论和开发一个旨在帮助研究人员建立更好的理论的三个组成部分的框架,有助于这一文献发展工作。这是通过将结构化实验设计与供应链的离散事件模拟相结合来实现的。其结果是一种方法,使研究人员能够更好地了解的因素,通过直接和相互作用的影响,中断其对供应链绩效的影响。方法的发展之后,本文最后用一个例子使用的冲击间隔时间,供应链的连接和缓冲库存的因素来说明有助于理论建设过程的潜力。
The research literature of supply chain risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They also have identified factors contributing to risk, the impact of risk and disruptions on performance, and the strategies and tactics used to build the capacity for supply chain resilience. Although these efforts can provide support for constructing a theory of risk and resilience, researchers are currently restricted in their ability to build such a theory by the difficulty of collecting the necessary data. This paper contributes to this literature development effort by summarising prior research reviews and developing a three-component framework aimed at helping researchers to build better theories. This is accomplished through combining structured experimental design with discrete-event simulations of supply chains. The result is a methodology that allows researchers to develop better understanding of the factors that link a disruption to its impact on supply chain performance through both direct and interaction effects. Following the methodology development, the paper concludes with an example using the factors of shock interarrival time, supply chain connectivity and buffer stocks to illustrate the potential for contributing to the theory-building process.