A Multi-Variate/Multi-Attribute Approach for Plant Layout Design
DOI:
https://doi.org/10.23055/ijietap.2008.15.2.115Keywords:
Plant layout, PCA, AHP, Numerical taxonomy, DEAAbstract
This paper presents an integrated multivariate and multi attribute analysis approach for solving plant layout design problems. The integrated approach discussed in this paper is based Principal Component Analysis (PCA) and Analytic Hierarchy Process (AHP). The validity of the model is verified and validated by Numerical Taxonomy (NT) approach. Furthermore, a non-parametric correlation method, namely, Spearman correlation experiment is used to show the correlation between the findings of PCA and NT. The integrated PCA AHP approach of this study presents exact whereas previous DEA AHP studies presents incomplete and non exact plant layout alternatives. Furthermore, the superiority and effectiveness of PCA AHP approach is compared with previous DEA AHP study through a case study. The integrated PCA AHP would help policy makers and top managers to have precise understanding and improve existing systems with respect to facility layout performance. Furthermore, it provides complete and exact rankings of the plant layout alternatives. Moreover, Numerical Taxonomy is used to verify and validate the findings of PCA whereas previous DEA AHP does not have verification and validation feature.Downloads
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