Implementation of Multivariate Methods as Decision Making Models for Optimization of Operator Allocation by Computer Simulation in CMS

應用多目標衡量法與模擬於最佳化CMS作業員配置

10.29977/JCIIE.200907.0008

Ali Azadeh；Mona Anvari

模擬 ； 作業員配置 ； 單元製造系統 ； 績效評估 ； 資料包絡法 ； simulation ； operator allocation ； cellular manufacturing system ； performance assessment ； data envelopment analysis

工業工程學刊

26卷4期（2009 / 07 / 01）

316 - 325

英文

本研究指出柔性製造系統(FMS)、變動市場與重新生產產品生命週期的重要性，因而提出一利用模擬之決策模型以最佳化單元製造系統(CMS)中作業員配置。本篇目的爲使用個案研究與電腦模擬，重複模擬不同作業員安排以發展模型。接著使用資料包絡法(DEA)、主成分分析法(PCA)及數值分類法，以評估結果和替代方案。此外本研究將三個方法得出結果利用史皮爾曼相關係數法驗證，最佳的手機作業員配置可因此而確定。在此要注意的是本研究採用的多因素分析可能爲反映市場狀況和需求而改變，因此找出最佳的解決方案。以往的研究僅採用DEA和模擬，然而本研究使用一整合模擬、DEA、PCA與數值分類法，能得到具最佳作業員配置、確認、驗證且彈性之模型。

By noting the importance of flexible manufacturing system (FMS), variable market and reduction in product life cycle, this study presents a decision making model for optimization of operators allocation in cellular manufacturing system (CMS) by computer simulation. A case study is considered and a computer simulation which considers various operators layout is developed with respect to the purpose of this study. Then, data envelopment analysis (DEA), principle component analysis (PCA) and numerical taxonomy are utilized to assess simulation results and alternatives. Furthermore, the results of the three preceding approach are verified by spearman correlation technique. Consequence the best operator layout with respect to cellular condition was identified. It should be noted that the indicators used in multivariate analysis may be changed to reflect market condition and demand and consequently locating optimum solutions. Previous studies only utilizes DEA and simulation, whereas this study uses an integrated simulation, DEA, PCA and Taxonomy approach for optimal operator allocation, verification, validation and flexible modeling.

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