以环境为重点的改进项目:一种新的优先排序方法

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Ambika M. Raja, R. Raju, R. Raju, Sanjeev S. Raja
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引用次数: 0

摘要

在当前的商业环境中,采用系统的方法对改进项目进行优先级排序,并解决利益相关者的声音,对于组织来说是必不可少的。本研究提出了一种采用多标准决策(MCDM)方法确定项目优先级的新方法。将逐步加权评价比分析法(SWARA)与质量屋法(HOQ)相结合,计算出各指标的重要性,然后利用灰色关联方案复比例评价法(COPRAS-G)对各指标的重要性进行最终方案的选择。它在考虑传统标准的同时也考虑了环境影响。本研究的创新之处在于将mcdm与质量质量相结合,并考虑对环境的影响来确定项目的优先次序。优点是高效和简单。通过一个案例说明了该方法的实际重点。该方法用于在六西格玛组织中应用定义-测量-分析-改进-控制(DMAIC)框架的项目优先级。对三个DMAIC项目的评估建议采用项目c。这个例子显示了在现实生活中的适用性。因此,这种新方法确定了一个最能满足利益相关者的环境友好型项目。灰色MCDM方法的应用使该方法适用于不确定环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement projects with an environmental focus: A novel approach for prioritization
Abstract Employment of a systematic approach for prioritization of improvement projects and addressing the voice of the stakeholders are imperative for organizations in the current business circumstances. This study suggests a novel approach that employs multi-criteria decision-making (MCDM) methods for project prioritization. A combination of step-wise weight assessment ratio analysis (SWARA) method and house of quality (HOQ) is used in the calculation of the importance of criteria, followed by utilization of criteria importance in COmplex PRoportional ASsessment of alternatives with grey relations (COPRAS-G) for selection of the final project. It considers environmental effects alongside traditional criteria. Innovation in this study is in the combination of the MCDMs with HOQ and prioritizing projects considering the impact on the environment. The advantages are efficiency and simplicity. The practical focus of the approach is illustrated using a case example. The approach is used for the prioritization of projects that apply the Define–Measure–Analyze–Improve–Control (DMAIC) framework in a Six Sigma organization. The evaluation of three DMAIC projects suggested taking up Project C. The illustration has shown applicability in real-life situations. Thus, the novel approach identifies an environment-friendly project that satisfies the stakeholders the most. The utilization of Grey MCDM method makes the approach suitable for use in an uncertain environment.
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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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