多產品迴流製程之設備產能損失管理系統

Equipment Capacity Loss Management System For Multi-product Re-entrant Processes

呂哲儀(Zhe-Yi Lu)

指導教授 ： 許棟樑

國立清華大學/工學院/工業工程與工程管理學系/碩士(2007年)

摘要

在生產製造環境中，任何設備的當機或停機，皆會引起產能的損失，並造成財務上的虧損。尤其在半導體晶圓製造廠，設備成本約佔了總製造成本的3/4。因此，精準評估設備當機影響的能力及更好的設備管理決策，對於整體製造效率有著顯著的效益。
　　本研究發展著重於發展一套模式及決策支援系統，來估計多產品迴流製程條件下的設備產能損失。此模式亦可經簡化而適用於直線式生產系統，及單產品迴流式生產系統。
　　本研究以多產品迴流生產線為研究標的，發展出一套產能損失的估算公式及管理工具，其目的在於：

1.提供一套在預期性或不預期性當機下，評估整體產能損失的方法，計算出各種不同方案下的影響及決策因素，以便更有效率地安排保養維修的時程。
2.提供一套決策的程序，以便更佳地控制生產參數，使得設備產能損失最小化。

　　本研究以eM-Plant 7.0模擬軟體驗證本研究之正確性。雖然多產品迴流生產線為研究標的，但亦可調整產品種類及製造程序，使期簡化為單一產品直線式或迴流式生產線之應用。

關鍵字

多產品 ； 迴流製程 ； 產能損失管理 ； 預防保養 ； 設備管理

並列摘要

Equipment down impacts production capability and produces financial losses. In particular, in semiconductor manufacturing where equipment cost constitutes approximately three quarters of the total manufacturing cost, the ability to estimate the impact of equipment down and enable proper equipment management decisions has significant benefits for manufacturing efficiency. This research developed a model and a decision support system to estimate equipment capacity loss for multi-product re-entrant manufacturing processes. The model can also be used in straight-line and single-product production situation with simplified parameter inputs.
Contributions of this research include:
1.Providing a means to estimate the overall capacity loss by a given machine down whether it is unexpected or planned. The impacts and the determining factors for various scenarios of capacity losses can be calculated so that maintenance and repair schedule can be made more effectively.
2.Providing a decision-making process to enable proper manipulations of production parameters toward minimum machine capacity loss.

並列關鍵字

Multi-product ； Re-entrant Processes ； Capacity Loss Management ； Preventive Maintenance ； Equipment Management

參考文獻

1. Roger W. Schemenner, “Service Operations Management”, NJ: Prentice-Hall edition, Prentice-Hall(1995).

7. Tomohito Nakata, Koichi Matsui, Yasuhisa Miyake, and Kyusaku Nishioka, “Dynamic Bottleneck Control in Wide Variety Production Factory”, IEEE Transactions on Semiconductor Manufacturing, Vol. 12, No. 3, 1999.

10. Jose M. Framinan, Pedro L. Gonzalez and Rafael Ruiz-Usano, “The CONWIP production control system: review and research issues”, Production Planning and Control, Vol. 14, No. 3, pp. 255-265, 2003.

11. Marc E. Levitt, Jacob A. Abraham, “Just-In-Time Methods for Semiconductor Manufacturing”, IEEE/SEMI Advanced Semiconductor Manufacturing Conference, 1990.

13. Chun-Yuan Cheng, “A Reliability Model of Daily Maintenance Service for Age-Dependent Equipment”, Journal of the Chinese Institute of Industrial Engineers, Vol. 19, No.1, pp. 57-62, 2002.