運用資料包絡分析法評估生產系統績效-以GPS製造產業為例

Production System Performance Evaluation Using Data Envelopment Analysis Method – A Case study of the GPS Industry

李明傑(Ming-Chieh Li)

指導教授 ： 梁韵嘉

元智大學/工程學院/工業工程與管理學系/碩士(2011年)

摘要

全球衛星定位系統 (Global Positioning System；GPS)產業近年因為人們對於安全性和休閒娛樂的考量而受到重視，這個市場的快速成長，對於GPS製造產業來說，生產能力及效率是非常重要的，如何能在資源有限的情況下，達成效率的最佳化，是目前對於關鍵的課題。
本研究利用資料包絡分析法(Data Envelopment Analysis；DEA)，以GPS製造產業中之G公司為研究對象，蒐集生產實際資訊以建立有效的績效評估模型，藉以找出最佳之生產模式，建立最適之生產模型，本研究中投入變數為「人力」、「物力」、「設備」及產出項為「產量」與「產值」，並採用DEA之CCR模式及BCC模式進行分析。經由CCR模式求出決策單位總效率及BCC模式求得決策單位的純粹技術效率，再經由總效率及純粹技術效率比值得到規模效率，並由差額變數分析瞭解相對無效率的決策單位，為了達成相對有效率之決策單位相同資源使用效率時的改善方向及幅度，之後再利用敏感度分析探討各變數變動時，對於決策單位績效之影響幅度，以及利用SBM模式與CCR模式及BCC模式比較其績效區隔能力。
經由以上研究分析結果得知各類產品在第二季中各種效率分析上都有明顯不佳的情況，敏感度分析中則發現「產值」變項剔除後影響最為巨大，建議管理者可針對此問題進行管控及改善。

關鍵字

全球衛星定位系統 ； 資料包絡分析法 ； 差額變數模式 ； 績效評估

並列摘要

In recent years, the fast-growing Global Positioning System (GPS) industries have attracted attentions of the people who care about the security and the entertainment. Hence, the efficiency of production systems are quite important. How to achieve the optimal efficiency under limited resources is the critical issue.
The purpose of this study is to identify a GPS manufacturer, collect the information of the production lines, build and analyze the lines using Data Envelopment Analysis (DEA) models, and finally give some suggestions for the improvement.
Taking a GPS manufacturer as the research objective, the main target of this research is to maximize the throughput by finding the best deployment of the resources, man, material and equipment. The CCR and BCC models from the DEA methods were implemented to analyze the production lines. This research considers, first, the total efficiency of the decision making unit (DMU) and the pure technology efficiency respectively from the CCR and BCC models. Secondly, the scale efficiency is obtained from the ratio of the total efficiency and the pure technology efficiency. Thirdly, the related non-efficiency of the decision making unit from the slack variable analysis, is accomplished. In addition, the research also reveals the connection of the change on the resource deployment and the impact on the performance of the decision making unit by the sensitivity analysis. Finally, the performance discerning ability is investigated by comparing the SBM, CCR and BCC analyses.
The analysis result shows the poor performance over all production lines in the second quarter. Given the sensitivity analysis result, removing the factor, throughput quantity, will bring out the largest impact, so the managerial levels can take action from this factor first.

並列關鍵字

Global Positioning System ； Data envelopment analysis ； Slacks-based measure ； Performance evaluation

參考文獻

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