Analysis of facility layout using MCDM approach: a case study of a manufacturing industry

Q3 Engineering

International Journal of Six Sigma and Competitive Advantage Pub Date : 2020-05-26 DOI:10.1504/ijssca.2020.10029707

Parveen Sharma, Rohit Sharma

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引用次数: 2

Abstract

The overall cost and production of any industry is directly affected by the shop floor layout. Present research work demonstrates a case study about the analysis of layout alternatives based on analytic hierarchy process (AHP) methodology. Qualitative factors directly affect the performance of the layout. Three qualitative factors (routing flexibility, production area utilisation and human issues) have been analysed. The steps of the AHP methodology have been adopted, and the values of eigenvalue (λmax), consistency index (CI), average random consistency (RI), and consistency ratio (CR) have been calculated for each selected factor. From the results, it has been analysed that selection of layout directly affected by the priority factors on the shop floor, it was found that for selected industry routing flexibility alternative 1.5 demonstrates best priority vector. For production area utilisation, alternatives 1.1 and 1.3 shows higher priority vectors on the other hand, for human issues, alternative 1.3 has best value of priority vector. It has been revealed that layout 1.3 is the best out of the five layouts selected for the current study.

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基于MCDM方法的设施布局分析——以某制造业为例

车间布局直接影响到任何行业的总成本和产量。本研究以层次分析法(AHP)为例，对布局方案进行了分析。定性因素直接影响布局的性能。分析了三个定性因素(路线灵活性、生产区域利用率和人员问题)。采用层次分析法的步骤，对每个选择的因子计算特征值(λmax)、一致性指数(CI)、平均随机一致性(RI)和一致性比(CR)的值。从结果上分析了布局的选择直接受到车间优先级因素的影响，发现对于所选择的行业路由灵活性替代1.5是最佳优先向量。对于生产区域的利用，方案1.1和1.3显示了更高的优先向量，另一方面，对于人类问题，方案1.3具有最佳的优先向量值。据透露，在本研究选择的五个布局中，布局1.3是最好的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering

CiteScore

2.00

自引率

0.00%

发文量

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.