通过案例研究实现业务战略目标的集成模型

Mohamed H. Essawy, E. Attia, A. El-assal
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引用次数: 1

摘要

本文提出了在六西格玛过程(DMAIC)定义阶段将平衡计分卡(BSC)与质量功能部署(QFD)集成的模型。平衡计分卡用于将战略目标转化为具有相关关键绩效指标(kpi)的运营行动。kpi在QFD中被认为是客户的声音。而所有公司的工厂都是用来满足这些kpi的。在埃及的一家大型制造公司实施了一个案例研究。根据QFD的结果,12家工厂中有2家被重点提升。并强调次品成本、金属和塑料的正常报废成本是重要的kpi。通过分析,确定正常金属废料成本占主导地位。经过改进,每个工厂的报废成本降低了12%左右,相当于节省了1250万埃及镑。
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An integrated model for achieving business strategic objectives with a case study
The paper proposes an integrated model of the balanced scorecard (BSC) and quality function deployment (QFD) in the define phase of the Six Sigma process (DMAIC). The BSC is used to translate the strategic objectives into operational actions with the associated key performance indicators (KPIs). The KPIs are considered as the voice of customer in the QFD. Whereas all firm's factories are used for satisfying these KPIs. A case study was implemented in a large manufacturing firm located in Egypt. Relying on the results of QFD, two factories among twelve are highlighted for improvement. Moreover, the defected parts cost, metal and plastic normal scrap costs were emphasized as the significant KPIs. By analysis, the normal metal scrap cost was identified as dominant. After improvement, the scrap cost was reduced with about 12% of the total scrap cost of each factory that can be translated to 12.5 million Egyptian pounds of saving.
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来源期刊
International Journal of Six Sigma and Competitive Advantage
International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering
CiteScore
2.00
自引率
0.00%
发文量
16
期刊介绍: Today, Six Sigma is recognised in many world class organisations as an effective means of achieving and maintaining operational excellence and competitive advantage. Six Sigma has proved to be successful in many manufacturing and service organisations to drive out variability from processes, improve process effectiveness and product/service quality, reduce defect rate, enhance customer satisfaction, etc. IJSSCA publishes papers that address Six Sigma issues from the perspectives of customers, industrial engineers, business managers, management consultants, industrial statisticians and Six Sigma practitioners.
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