Abstract
This paper deals with the problem of finding the optimal plant layout design. Decision-making methodologies based on analytic hierarchy process (AHP) and data envelopment analysis (DEA) approach are applied in the selection of the best plant layout. New layouts are developed, in an efficient manner, based on the systematic layout planning (SLP). By using the multiple criteria, AHP is applied to weigh the qualitative performance measures. DEA is then used to determine the suitable layout design by measuring layouts’ efficiency, using the information of AHP and combining with the quantitative data. The utilization of the proposed procedure is applied to a real data set of a machining precision parts manufacturing company.
Highlights
Plant layout is one of the most important components that significantly has an impact on productivity, profitability, and performance of any manufacturing industries, regardless of the size of plant or the type of operation
This paper explores the problem of finding the optimal plant layout design by applying a decisionmaking methodologies based on an integration of analytic hierarchy process (AHP) and data envelopment analysis (DEA)
DEA is used to solve the problem of layout design selection by simultaneously considering both quantitative and qualitative performance criteria which leads to the identification of the more optimal plant layout design alternative
Summary
Plant layout is one of the most important components that significantly has an impact on productivity, profitability, and performance of any manufacturing industries, regardless of the size of plant or the type of operation. In the evaluation process, both of the qualitative and quantitative criteria are necessary to be taken into consideration It is challenging and time consuming for layout generation and evaluation. This paper explores the problem of finding the optimal plant layout design by applying a decisionmaking methodologies based on an integration of analytic hierarchy process (AHP) and data envelopment analysis (DEA). An existing plant layout is improved by adopting systematic layout planning (SLP) methodology in order to generate new layouts as well as to collect quantitative performance data of each alternative, namely distance and cost. DEA is used to solve the problem of layout design selection by simultaneously considering both quantitative and qualitative performance criteria which leads to the identification of the more optimal plant layout design alternative
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