公司范围内的差异减少

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
L. Hare
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引用次数: 0

摘要

摘要:我们通过几年的经验来说明统计工程(SE)方法来解决大型非结构化问题,通过仅使用相对较小的技术人员来提高生产率和质量,从而引发主要的制造文化变革。过程变化减少(PVR)程序的发明,平行于机会识别、问题定义、在组织环境中操作、战略开发、战术识别和创建可持续解决方案的SE步骤,使各级员工能够在提高客户满意度的同时降低成本。这里的例子涉及食品工业的进步,但变异减少计划和策略适用于大多数组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corporation-wide variation reduction
Abstract We illustrate the Statistical Engineering (SE) approach to the solution of large unstructured problems through some years-long experiences with improving productivity and quality using only a relatively small technical staff to elicit a major manufacturing culture change. The invention of a program for Process Variation Reduction (PVR) paralleling the SE steps of opportunity identification, problem definition, operating within the organizational context, strategy development, identification of tactics and creating sustainable solutions, enabled staff at all levels to drive down costs while improving customer satisfaction. Examples here involve advances in the food industry, but the variation reduction planning and strategies are applicable to most organizations.
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来源期刊
Quality Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.
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