Transmuting performance on manufacturing dimensions into business performance: An exploratory analysis of efficiency using DEA

Transmuting performance on manufacturing dimensions into business performance: An exploratory analysis of efficiency using DEA
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将制造维度的绩效转化为业务绩效:使用 DEA 对效率进行探索性分析

DOI:
10.1080/0020754031000087346
复制
发表时间:
2003
影响因子:
9.2
通讯作者:
C. Droge
C. Droge
中科院分区:
工程技术2区
文献类型:
--
作者:
S. Talluri;S. Vickery;C. Droge

文献摘要

被引文献

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本研究考察了汽车供应商行业在制造竞争力维度上的绩效转化为企业绩效的效率。具体地说,这项研究探索了数据包络分析(DEA)产生的效率,使用成本、质量、时间、灵活性和创新表现作为输入,将投资回报率(ROI)和资产回报率(ROA)作为输出。“三巨头”在北美的一线供应商被抽样调查。根据效率将51家供应商分为高、中、低三组。在质量、时间、灵活性和创新绩效上没有显著的组间差异,但在成本上存在显著的差异。通过测试不同成本降低计划的组间差异,进一步调查了结果,从而确定了改善低效率公司的杠杆和基准。
This research examines efficiency in the transformation of performance on manufacturing competitive dimensions into business performance in the automotive supplier industry. Specifically, the study explores efficiency produced from data envelopment analysis (DEA) using cost, quality, time, flexibility and innovativeness performance as inputs and return on investment (ROI) and return on assets (ROA) as outputs. First tier suppliers to the 'Big 3' in North America were sampled. The 51 suppliers were categorized into three groups (high, medium and low) based on their efficiency. No significant group differences in quality, time, flexibility and innovativeness performance were found, but a significant difference does exist for cost. The results were further investigated by testing between-group differences for various cost reduction programmes, thereby identifying the levers and benchmarks for improving low efficiency firms.