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首页> 外文期刊>International Journal of Quality & Reliability Management >A hybrid framework based on SIPOC and Six Sigma DMAIC for improving process dimensions in supply chain network
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A hybrid framework based on SIPOC and Six Sigma DMAIC for improving process dimensions in supply chain network

机译:基于SIPOC和6 Sigma DMAIC的混合框架,用于改善供应链网络中的流程规模

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Purpose - The purpose of this paper is to introduce a hybrid framework (suppliers, inputs, process, output and customers + define, measure, analyze, improve and control (SIPOC+DMAIC)) aimed at improving supply chain management (SCM) process dimensions in a supply chain (SC) network. Design/methodology/approach - Based upon the critical review of literature, process dimensions (average outgoing quality limit (AOQL), average outgoing quality (AOQ), process Z, defect per million opportunity) critical to SCM performance were identified. A framework consisting of three phases, i.e., design, implementation and results has been conceptualized and a case from paint industry is investigated. Implementation framework makes use of SIPOC model and Six Sigma DMAIC methodology. The goals of the study were achieved by using Six Sigma tools such as brainstorming sessions; root cause analysis, histograms, statistical tools such as control charts and process capability analysis. Findings - Authors made an attempt to propose a conceptual framework for improving process dimensions in a SC network. It is observed from the results that selection of appropriate strategies for improving process performance based upon experiences, and use of statistical tools by cross-functional teams with an effective coordination, guarantees success. Metrics such as AOQL shows the maximum worst possible defective or defect rate for the AOQ. Process Z helps to know about sigma capability of the process. Research limitations/implications - The framework so developed is tested in a single company manufacturing batches of paint. The study has important implications for the industry since it tries to integrate SCM process dimensions which would help in successful implementation of SCM practices in firm by following the DMAIC process. The framework enables the practitioners to investigate the process and demonstrate improvements using DMAIC which makes use of statistical tools. Originality/value - Although process dimensions related to SCM are critical to organization competitiveness, research so far has tended to focus on supply chain operations and reference model, balanced scorecard, total quality management, activity-based costing, just in time, etc, but in literature hardly any description of the SIPOC-DMAIC model to improve SCM process performance is provided. The use of statistics in DMAIC provides better insight into the process performance, and process control
机译:目的-本文的目的是介绍一个混合框架(供应商,投入,过程,输出和客户+定义,度量,分析,改进和控制(SIPOC + DMAIC)),旨在改善供应链管理(SCM)过程的规模在供应链(SC)网络中。设计/方法/方法-基于对文献的严格审查,确定了对SCM性能至关重要的过程尺寸(平均输出质量限制(AOQL),平均输出质量(AOQ),过程Z,每百万机会的缺陷)。构想了一个由三个阶段组成的框架,即设计,实施和结果,并调查了油漆行业的案例。实现框架利用SIPOC模型和6 Sigma DMAIC方法。通过使用六个西格玛工具(例如集思广益会议)来实现研究的目标;根本原因分析,直方图,统计工具(如控制图和过程能力分析)。调查结果-作者试图提出一个概念框架,以改善SC网络中的过程维度。从结果中可以看出,根据经验选择适当的策略来改进过程性能,并由跨职能团队使用有效的协调来使用统计工具,可以保证成功。诸如AOQL之类的指标显示了AOQ可能出现的最大最坏缺陷或缺陷率。进程Z帮助了解进程的sigma功能。研究的局限性/意义-如此开发的框架已在一家制造一批油漆的公司中进行了测试。该研究对行业具有重要意义,因为它试图整合SCM流程维度,这将有助于遵循DMAIC流程在企业中成功实施SCM实践。该框架使从业人员能够使用DMAIC(利用统计工具)来调查过程并演示改进。原创性/价值-尽管与SCM相关的流程维度对于组织竞争力至关重要,但到目前为止,研究倾向于将重点放在供应链运营和参考模型,平衡计分卡,全面质量管理,基于活动的成本核算上,等等。在文献中,几乎没有提供任何用于改善SCM工艺性能的SIPOC-DMAIC模型的描述。在DMAIC中使用统计信息可以更好地了解过程性能和过程控制

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