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Using SPC to measure a national supermarket chain's suppliers' performance

机译:使用SPC衡量国家连锁超市的供应商绩效

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Purpose - This research paper aims to explore the application of Statistical Process Control (SPC) methods to measure the performance of a national supermarket chain's problem suppliers. The use of SPC control charts was expected to help in the understanding of the management of buyer/supplier relationships and the effect of the suppliers' performance in the supermarket's replenishment system. Design/methodology/approach - The data analysed were based on the performance of 12 suppliers to the national supermarket over a period of 77 weeks. Quantitative data were supplemented with qualitative data obtained from the suppliers' managers and the supermarket's buyers. The paper compares the measurement of the suppliers' performance using descriptive statistics such as skewness, kurtosis and correlation, with those obtained using SPC-based control chart techniques. Findings - The results of this analysis indicate that neither descriptive statistics nor the SPC approach were a complete answer to monitoring supplier performance in the supermarket environment. Instead a composite approach was most likely to be effective in improving buyer/supplier relationships. The use of descriptive statistics is important in establishing consistent and achievable performance targets; the use of SPC facilitates performance monitoring and enables meaningful problem-solving dialogues to be established.rnPractical implications - From a retail managerial perspective these results help both in the design of the performance measurement system and in the establishment of realistic performance standards throughout the supply system.rnOriginality/value - The results suggest that performance measurement of supermarket replenishment systems needs to use a range of performance measures and extend beyond conventional dyadic buyer/supplier analysis.
机译:目的-本研究报告旨在探索统计过程控制(SPC)方法在衡量国家连锁超市问题供应商绩效方面的应用。期望使用SPC控制图来帮助理解买方/供应商关系的管理以及超级市场补货系统中供应商绩效的影响。设计/方法/方法-分析的数据基于77周内全国超级市场的​​12个供应商的表现。定量数据补充了从供应商的经理和超市的购买者那里获得的定性数据。本文使用描述性统计数据(例如偏度,峰度和相关性)与使用基于SPC的控制图技术获得的描述性统计数据,比较了供应商绩效的测量结果。调查结果-分析结果表明,描述性统计数据和SPC方法都不是在超市环境中监控供应商绩效的完整答案。取而代之的是,一种复合方法最有效地改善了买方/供应商之间的关系。描述性统计的使用对于建立一致且可实现的绩效目标很重要;实用意义-从零售管理的角度来看,这些结果有助于绩效评估系统的设计和整个供应系统的现实绩效标准的建立.rnOriginality / value-结果表明,超市补给系统的绩效衡量需要使用一系列绩效衡量指标,并且要超出常规的二元买家/供应商分析范围。

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