研究生: |
王雅瑩 Wang, Ya-Ying |
---|---|
論文名稱: |
原料藥現場班生產排程之研究 A Study on the Shift-Based Production Scheduling Problem from Active Pharmaceutical Ingredients Manufacturing Process |
指導教授: |
楊大和
Yang, Ta-ho |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 製造資訊與系統研究所 Institute of Manufacturing Information and Systems |
論文出版年: | 2014 |
畢業學年度: | 103 |
語文別: | 中文 |
論文頁數: | 114 |
中文關鍵詞: | 原料藥 、豐田生產方式 、限制理論 、價值流圖 、排程 |
外文關鍵詞: | Active Pharmaceutical Ingredients, Toyota Production System, Theory of Constraints, Value Stream Map, Scheduling |
相關次數: | 點閱:103 下載:18 |
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在政府大力推動我國生技產業發展下,帶動我國生技製藥產業的快速發展,在政策與市場的發展下,原料藥產業營業額呈現逐年增加的趨勢,公司除了不斷的研發新產品外,原料藥生產之效能與效率是個越來越重要的管理議題。
在產品少量多樣的情況下,為了追求彈性的製造,案例公司原料藥工廠的生產會依據產品來設計製程使用不同的設備,而每台設備的人力運用會隨著生產而有所改變,同樣的製程設備下人力需求起伏不定,同一台設備下之人力並非使用固定人力操作,有時也以同時操作多台設備的方式進行,且因生產上的特性與化學反應之限制,目前生產方式為隨著每日的生產進度,輪班管理者會依據經驗指示操作員彈性的在不同設備間配合做生產,因而較難以掌控原料藥的生產細部安排及效率。
本研究利用豐田生產方式之價值流圖為原料藥的生產尋找浪費所在,並使用標準作業組合票了解單元操作之工作,解決操作員同時操作多台設備之議題,以兩者奠定基礎後考慮化學反應之限制,主要利用限制理論考慮生產中的關鍵資源隨著批次加工狀態做出排程,並在模擬中作呈現,透過對原料藥生產做出適當的安排,讓工作平準化減輕人員負荷,以達到最小化總生產時間與減少人力使用之效益,掌握原料藥生產的效率。
利用現況模擬作為改善後對比,隨著情境的不同可達到2~8%的改善程度,因原料藥工廠營運成本較高,一個工廠之專案改善便能帶來10~100萬的改善效益,導入本研究之排程後能同時達到減少營運成本與人力的效益,使原料藥生產能掌控其生產效率,以達到降低成本並提高交期之準確度之目的,能為原料藥生產帶來更大的競爭力與優勢。
The Active Pharmaceutical Ingredients industry is developed rapidly these years. Because of the various products with low volume, the Active Pharmaceutical Ingredients use the same equipment with different process route to produce various products, the demand of manpower fluctuates in the same equipment. And sometimes the operators can operate more than one equipment at the same time. In addition, there is some restriction due to the specialty and chemical reaction which makes company have difficulty in controlling the production process in detailing arrangement and efficiency. This study use the Value Stream Map(VSM)and Standardized Work Combination Table in Toyota Production System(TPS) that be the base of research. And consider the chemical reaction restriction in the scheduling. The main method is considering the critical resource use the Theory of Constraints(TOC) conception that simulation can scheduling based on the state of processing batch. Comparing the simulation of real production with the scheduling scenario, it can even decrease of makespan 2-8% in different scenario. According to the result, Using scheduling in Active Pharmaceutical Ingredients shifted-based production can decrease the delay of delivery and production cost.
江瑞坤、大野義男、侯東旭,民96,豐田的三位一體生產系統,中衛發展中心,臺北市。
成澤俊子、Shook, J.,民98,大家來學TPS:豐田改善直達車,中衛發展中心,台北市。
李友錚,民92,作業管理:創造競爭優勢,前程文化事業有限公司,台北縣。
李文明與李鈞,民91,生產管理,普林斯頓股份有限公司,台北市。
許進標,民99,Project2010高手攻略,碁峯資訊股份有限公司,台北市。
葉和明,民97,輸送現象與單元操作:質量輸送與操作,三民書局,台北市。
汪嘉林,民100,我國生技製藥產業創新演化的回顧與前瞻,科學發展,457,146-150。
汪嘉林,民102,生技產業白皮書,經濟部工業局,台北市。
ITIS生物技術開發中心,民101,原料藥,Available : http://www.moneydj.com/KMDJ/wiki/WikiViewer.aspx?Title=%E5%8E%9F%E6%96%99%E8%97%A5(20140901)
行政院國家發展委員會,民99,產業發展行動計畫,Available : http://www.ey.gov.tw/Upload/RelFile/27/73750/010414534271.pdf (20140905).
Banks, J., Nelson, B.L., and Carson, J.S., 2001. Discrete-Event System Simulation, Peason Prentice Hall, New Jersey.
Bauer, A. and Browne, J., 1994. Shop Floor Control Systems: From Design to Implementation, Springer, New York.
Blumenthal, R., 2004. Manufacturing execution systems to optimize the pharmaceutical supply chain. Pharmazeutische Industrie, 1414-1429.
Friedli, T., Goetzfried, M., and Basu, P., 2010. Analysis of the implementation of total productive maintenance, total quality management, and just-in-time in pharmaceutical manufacturing. Journal of Pharmaceutical Innovation, 5(4), 181-192.
Goldratt, E.M., Cox, J., and Whitford, D., 1992. The Goal: A Process of Ongoing Improvement, North River Press, Massachusetts.
Hadas, L., Cyplik, P., and Fertsch, M., 2009. Method of buffering critical resources in make-to-order shop floor control in manufacturing complex products. International Journal of Production Research, 47 (8), 2125-2139.
Hopp, W.J. and Spearman, M.L., 2008. Factory physics, McGraw-Hill, New York.
Johns, W., 2008. Computer‐Aided Chemical Engineering, John Wiley & Sons, New Jersey.
Kelton, W. and Sadowski, R., 2009. Simulation with Arena. 5th, McGraw-Hill, Boston.
Kempf, K.G., Keskinocak, P., and Uzsoy, R., 2011. Planning Production and Inventories in the Extended Enterprise, Springer, New York.
Lu, J.-C. and Yang, T., 2014. Implementing lean standard work to solve a low work-in-process buffer problem in a highly automated manufacturing environment. International Journal of Production Research, 1-21.
Mockus, L., Vinson, J., and Luo, K., 2002. The integration of production plan and operating schedule in a pharmaceutical pilot plant. Computers & Chemical Engineering, 26 (4), 697-702.
Monden, Y., 2011. Toyota Production System: An Integrated Approach to Just-In-Time, 4th Edition, Productivity Press, New York.
Morton, T., 1993. Heuristic Scheduling Systems: With Applications to Production Systems and Project Management, John Wiley & Sons, New York.
Omar, M.K. and Teo, S., 2007. Hierarchical production planning and scheduling in a multi-product, batch process environment. International Journal of Production Research, 45 (5), 1029-1047.
Papavasileiou, V., Koulouris, A., Siletti, C., and Petrides, D., 2007. Optimize manufacturing of pharmaceutical products with process simulation and production scheduling tools. Chemical Engineering Research and Design, 85 (7), 1086-1097.
Petrides, D., Koulouris, A., Siletti, C., Jiménez, J.O., and Lagonikos, P.T., 2010. Chemical Engineering in the Pharmaceutical Industry: R&D to Manufacturing, Wiley, Hoboken.
Plumb, K., 2005. Continuous processing in the pharmaceutical industry: changing the mind set. Chemical Engineering Research and Design, 83 (6), 730-738.
Rath, F., 2008. Tools for developing a quality management program: proactive tools (process mapping, value stream mapping, fault tree analysis, and failure mode and effects analysis). International Journal of Radiation Oncology Biology Physics, 71 (1), 187-190.
Rother, M. and Shook, J., 2003. Learning to See: Value Stream Mapping to Add Value and Eliminate MUDA, Lean Enterprise Institute, Massachusetts.
Shah, N., 2004. Pharmaceutical supply chains: key issues and strategies for optimisation. Computers & Chemical Engineering, 28 (6), 929-941.
Steyn, H., 2002. Project management applications of the theory of constraints beyond critical chain scheduling. International Journal of Project Management, 20 (1), 75-80.
Susarla, N. and Karimi, I.A., 2011. Integrated campaign planning and resource allocation in batch plants. Computers & Chemical Engineering, 35 (12), 2990-3001.
Van der Vorst, G., Dewulf, J., Aelterman, W., De Witte, B., and Van Langenhove, H., 2009. Assessment of the integral resource consumption of individual chemical production processes in a multipurpose pharmaceutical production plant: a complex task. Industrial & Engineering Chemistry Research, 48 (11), 5344-5350.
Wu, H.-H., Chen, C.-P., Tsai, C.-H., and Yang, C.-J., 2010. Simulation and scheduling implementation study of TFT-LCD Cell plants using Drum–Buffer–Rope system. Expert Systems with Applications, 37 (12), 8127-8133.
Wu, H.-H. and Yeh, M.-L., 2006. A DBR scheduling method for manufacturing environments with bottleneck re-entrant flows. International Journal of Production Research, 44 (5), 883-902.