Supply Chain Performance Metrics in the LARG Perspectives: a survey and model

Lucia Catellani, E. Bottani
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引用次数: 1

Abstract

This paper aims to identify adequate metrics to measure supply chain performance in its entirety, following the framework of the lean, agile, resilient, green (LARG) models. A list of 112 metrics referring to the LARG perspectives was derived from an analysis of relevant literature. On the basis of that list, a questionnaire survey was developed, for evaluating the usage of the various metrics in real contexts. Overall, 33 companies located in the Italian territory provided their feedback to the questionnaire, indicating the metrics used inside the company itself and the perceived importance of each metric. Besides the LARG metrics, the questionnaire was also used to analyze the context in which the various companies operate in the current state of the world, having been heavily impacted by both the coronavirus (COVID-19) pandemic and by the Industry 4.0 innovations. The survey asked the selected companies to give opinions about 13 statements regarding the impact of Industry 4.0 and COVID-19 on their supply chain. The research found that 15 out of the 112 metrics are considered to be essential to measure the performance of the supply chain, as well as the correlation between company size and metrics used. © 2021 The Authors.
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LARG视角下的供应链绩效指标:调查与模型
本文旨在确定适当的指标来衡量供应链的整体绩效,遵循精益,敏捷,弹性,绿色(LARG)模型的框架。通过对相关文献的分析,得出了涉及LARG视角的112个指标列表。在该列表的基础上,开发了一项问卷调查,用于评估各种度量标准在实际环境中的使用情况。总体而言,位于意大利境内的33家公司提供了他们对问卷的反馈,表明了公司内部使用的指标以及每个指标的重要性。除了LARG指标外,调查问卷还用于分析受冠状病毒(COVID-19)大流行和工业4.0创新严重影响的各公司在当前世界状况下的运营环境。调查要求被选中的公司就工业4.0和COVID-19对其供应链的影响的13项声明发表意见。研究发现,在112项指标中,有15项被认为是衡量供应链绩效以及公司规模与所使用指标之间相关性的关键指标。©2021作者。
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