應用AHP層級分析法於原料藥製造公司 生產決策探討－以C公司為研究對象

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葉育如(Yu-Ju Yeh) 查詢紙本館藏

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工業管理研究所在職專班

論文名稱

應用AHP層級分析法於原料藥製造公司生產決策探討－以C公司為研究對象
(Applying Analytic Hierarchy Process in Production Decision-Making for an API Manufacturing Company: A Case Study of Company C)

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摘要(中)

隨著全球人口老化和COVID-19疫情的影響，藥品需求不斷增加，各國更加重視供應鏈的穩定性。製藥企業必須在保持產品品質的同時，應對降價壓力和各種經濟挑戰。本研究旨在應用層級分析法探討影響台灣原料藥生產決策的關鍵因素，以C公司為研究對象，台灣原料藥製造業主要以出口為導向，面臨來自中國和印度的在價格和規模經濟方面激烈競爭，為提升競爭力，台灣原料藥企業需優化生產流程，以降低成本，並同時保持高品質標準為目標。本研究的目的是識別和分析影響生產決策的關鍵因素，並藉由層級分析法對其關鍵因素進行排序，提供企業支持性的見解。本研究建立的層級架構包含6個構面和26項關鍵因素，研究結果顯示，影響生產決策的關鍵因素依重要性排序為：產品產出、回收物料、選擇產品、人力工時、物料品質、庫存控制、市場資訊建立和佈局、標準化程序建立、設備維護保養、符合法規及客戶要求、物料價格。C公司可參考這些結果來進行生產決策及制定相關計畫，期望能幫助C公司優化資源分配，實現企業目標。此外，期望本研究的AHP架構也可以供其他原料藥製造業者分析，識別自身競爭優勢和目標，並對其他相關研究提供參考和啟發。

摘要(英)

As the global population ages and the impact of the COVID-19 pandemic continues, the demand for pharmaceuticals is steadily increasing. Countries are placing greater emphasis on the stability of supply chains. Pharmaceutical companies must maintain product quality while facing price reduction pressures and various economic challenges. This study aims to apply the Analytic Hierarchy Process (AHP) to explore the key factors influencing the production decisions in Taiwan′s Active Pharmaceutical Ingredient (API) manufacturing industry, using Company C as a case study. The Taiwanese API manufacturing industry is primarily export-oriented and faces intense competition from China and India, particularly in terms of price and economies of scale. To enhance competitiveness, Taiwanese API companies need to optimize their production processes to reduce costs while maintaining high-quality standards. The objective of this study is to identify and analyze the key factors affecting production decisions and rank these factors using the AHP method, thereby providing supportive insights for businesses. The hierarchical framework established in this study consists of six dimensions and 26 key factors. The research results indicate that the key factors influencing production decisions, in order of importance, are: product yield, material recovery, product selection, labor hours, material quality, inventory control, market information establishment and layout, standard procedure establishment, equipment maintenance, compliance with regulations and customer requirements, and material prices. Company C can refer to these results to make production decisions and formulate relevant plans, aiming to help optimize resource allocation and achieve corporate goals. Furthermore, it is hoped that the AHP framework established in this study can also be used by other API manufacturers to analyze and identify their competitive advantages and objectives, and provide references and insights for other related studies.

關鍵字(中)

★ 原料藥製造業
★ 生產決策關鍵因素
★ 層級分析法

關鍵字(英)

★ API Manufacturing Industry
★ Key Factors in Production Decisions
★ Analytic Hierarchy Process

論文目次

摘要 i
Abstract ii
致謝 iv
目錄 v
圖目錄 vii
表目錄 viii
第一章緒論 1
1.1 研究背景 1
1.2 研究動機 4
1.3 研究目的 5
1.4 研究範圍 5
1.5 論文架構 6
第二章文獻探討 8
2.1 製藥產業 8
2.2 生產決策 12
2.3 決策理論和準則 22
2.4 多準則決策分析法 27
2.5 層級分析法 30
第三章個案公司介紹 36
3.1 個案公司簡介 36
3.2 成長歷程 39
3.3 經營理念 41
3.4 主要產品 42
3.5 經營策略 44
3.6 供應管理 45
3.7 未來展望 46
第四章個案分析與討論 47
4.1 個案背景 47
4.2 問卷設計及研究對象 48
4.3 影響生產決策之關鍵因素 52
4.4 建構AHP層級結構 54
4.5 結果分析 56
4.5.1 構面層之權重和重要程度分析 57
4.5.2 各評估關鍵影響因素權重和重要程度分析 58
4.5.3 各構面及評估關鍵因素之綜合分析 65
第五章結論與建議 68
5.1 研究結論 68
5.2 管理意涵 69
5.3 對個案公司的建議 70
5.4 未來研究的建議 71
參考文獻 72
附錄一：訪談問卷 80
附錄二：調查問卷 82

參考文獻

一、中文文獻
1. 朱淑尹（2015），美國專利連結制度中專利登錄的介紹與探討，智慧財產局月刊，2015（196），20-33。
2. 艾昆緯股份有限公司（IQVIA）（2023），2023年全球藥品支出回顧和展望，艾昆緯股份有限公司，Retrieved March 09, 2024, 取自https://www.iqvia.com/-/media/iqvia/Pdfs/china/viewpoints/iqvia-institute-global-use-of-medicines-2023_cn.pdf。
3. 周福星、林清河、劉漢容（1994），先進製造技術之競爭策略分析-台灣企業之實證研究，中山管理評論，2（3），45-59。
4. 秦勃（2006），有限理性：理性的一種發展模式─試論H.A.西蒙的有限理性決策模式，理論界，2006（1），78-79。
5. 陳曉慧（2024），西藥外銷助攻，112年藥品及醫用化學製品業產值再創佳績，經濟部統計處，Retrieved March 09, 2024, 取自https://www.moea.gov.tw/MNS/
populace/news/News.aspx?kind=1&menu_id=40&news_id=113806。
6. 許秋惠（2007），區域技術知識網絡與創新之研究，國立政治大學地政研究所碩士論文。
7. 張強（2009），決策理論與方法，中國大連：東北財經大學出版社。
8. 張釗銘（2018），多準則決策方法簡介，當代醫藥法規月刊，2018（93），1-9。
9. 產業價值鏈資訊平台（2023），製藥產業鏈簡介，產業價值鏈資訊平台，Retrieved September 03, 2023, 取自https://ic.tpex.org.tw/introduce.php?ic=C100。
10. 歐進士、李翠琴、卓佳慶、林惠美（2016），製藥廠顧客利潤之決定因素：個案分析，臺大管理論叢，26（3），93-118。
11. 鄧振源、曾國雄（1989），分析層級法內涵特性與應用（上），中國統計學報，27（6），5-22。
12. 鄧振源、曾國雄（1989），分析層級法內涵特性與應用（下），中國統計學報，27（7），1-20。
13. 蔡仁賜（2009），理性決策模式到底是什麼，管理觀察，2009（12），248-249。
14. 謝効吾(2024），化學與生技和製藥，國立台灣大學化學系網站，Retrieved June 05, 2024, 取自https://www.ch.ntu.edu.tw/News_Content_n_76120_s_208795.
html。
15. 行政院主計總處（2023），行業統計分類，中華民國統計資訊網，Retrieved September 03, 2023, 取自https://www.stat.gov.tw/StandardIndustrialClassification
Content.aspx?n=3144&sms=11195&RID=10&PID=MjAw&Level=3。
二、英文文獻
1. Abdelaziz, EA, Saidur, R., & Mekhilef, S. (2011). A review on energy saving strategies in industrial sector. Renewable and Sustainable Energy Reviews, 15 (1), 150-168.
2. Anisere-Hameed, R.A., & Bodunde, T.D. (2021). The impact of inventory management on the profitability of manufacturing companies in Nigeria. International Journal of Innovative Research and Advanced Studies (IJIRAS), 8 (1), 9-15.
3. Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria decision making methods and its applications. American Journal of Information Systems, 1(1), 31-43.

4. Thomas, D. (2021). Clinical Development Success Rates and Contributing Factors 2011–2020. Biotechnology Innovation Organization. Retrieved May 03,2024, from https://www.bio.org/clinical-development-success-rates-and-contributing-factors-2011-2020.
5. Brans, J.P., & Vincke, P. (1985). Note—A Preference Ranking Organisation Method (The PROMETHEE Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656.
6. Breitkreitz, M.C., & Goicoechea, H. C. (2023). Introduction to Quality by Design in Pharmaceutical Manufacturing and Analytical Development. Cham: Springer.
7. Cabala, P. (2010), Using the Analytic Hierarchy Process in Evaluating Decision Alternatives. Operations Research and Decisions. 20(1), 5-23.
8. Choudhari, S. C., Adil, G. K., & Ananthakumar, U. (2010). Congruence of manufacturing decision areas in a production system: a research framework. International Journal of Production Research, 48(20), 5963-5989.
9. Cohen, D. M., March, J. G., & Olsen, J. D. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17(1), 1-25.
10. Crawford, G., & Williams, C. (1985). A Note on the Analysis of Subjective Judgement Matrices. Journal of Mathematical Psychology, 29(4), 387–405.
11. Dagdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21(4), 451-460.
12. Donaldson, D., & Eaton, C. (1984). Person-specific costs of production: hours of work, rates of pay, labour contracts. Canadian Journal of Economics, 17(3) 441-449.
13. Eisenfuhr, F. (2011). Decision making. New York: Springer.

14. Federsel, H. J. (2009). Chemical process research and development in the 21st century: challenges, strategies, and solutions from a pharmaceutical industry perspective. Accounts of Chemical Research, 42(5), 1377.
15. Fulop, J. (2005). Introduction to Decision Making Methods. Academia. Retrieved June 23, 2024, from https://www.academia.edu/22906650/Introduction_to_
Decision_Making_Methods.
16. Grosset, L., & Viscolani, B. (2020). Decisions on production and quality. Decisions in Economics and Finance, 43(1), 91-107.
17. Gunasekaran, A., & Cecille, P. (1998). Implementation of productivity improvement strategies in a small company. Technovation, 18(5), 311-320.
18. Hamali, S., Suci, R.P.N., Utami, A.F., & Arga, F. (2016). Using Analytic Hierarchy Process and Decision Tree for a Production Decision Making. 2016 International Conference on Information Management and Technology (ICIMTech), Aston Tropicana Hotel, Bandung, Indonesia.
19. Javalgi, R.R.G., Martin, C.L., & Young, R.B. (2006). Marketing research, market orientation and customer relationship management: a framework and implications for service providers. Journal of Services Marketing, 20(1), 12-23.
20. Johnson, C. R., Beine, W. B., & Wang, T. J. (1979). Right-left asymmetry in an eigenvector ranking procedure. Journal of Mathematical Psychology, 19(1), 61–64.
21. Kahsay, G., Osanna, P. H., & Durakbasa, N. M. (2007). Investigation of Quality Awareness, Developments and Factors Impeding Product Quality Improvement in Ethiopian Medium and Large Scale Manufacturing Industries. International conference on African development archives, Western Michigan University.
22. Kaufman, B., & Novack, G. D. (2003). Compliance issues in manufacturing of drugs. The Ocular Surface, 1(2), 80-85.
23. Koumanakos, D. P. (2008). The effect of inventory management on firm performance. International Journal of Productivity and Performance Management, 57(5), 355-369.
24. Li, L., & Lee, Y. S. (1994). Pricing and delivery-time performance in a competitive environment. Management Science, 40(5), 633-646.
25. Liow, Y. H. J. (2010). Framework for the Determination of Yield Limits In Pharmaceutical Operations. Massachusetts Institute of Technology, Doctoral Dissertation.
26. Liu, M., Ballard, G., & Ibbs, W. (2011). Work flow variation and labor productivity: Case study. Journal of Management in Engineering, 27(4), 236-242.
27. Lunenburg, F. C. (2010,). The decision making process. In National Forum of Educational Administration & Supervision Journal, 27(4), 1-13.
28. McDougall, G. 2001. Customer retention strategies: When do they pay off? Services Marketing Quarterly, 22(1): 39-55.
29. Monczka, R. M., Kenneth J. P., Robert, B. H. & Gary, L. R. (1998), Success Factors in Strategic Supplier Alliances: The Buying Company Perspective. Decision Sciences, 29(3), 553-577.
30. Ngai, E. W., Xiu, L., & Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications, 36(2), 2592-2602.
31. Ott, D., Kralisch, D., Dencic, I., Hesse, V., Laribi, Y., Perrichon, PD, Berguerand, C.,Ki-Minsker, L. & Loeb, P. (2014). Life cycle analysis within pharmaceutical process optimization and intensification: case study of active pharmaceutical ingredient production. ChemSusChem, 7(12), 3521-3533.

32. Pal, O., Gupta, A. K., & Garg, R. K. (2013). Supplier selection criteria and methods in supply chains: A review. International Journal of Economics and Management Engineering, 7(10), 2667-2673.
33. Prempeh, K. B. (2015). The impact of efficient inventory management on profitability: evidence from selected manufacturing firms in Ghana. International Journal of Finance and Accounting, 5(1),22-26.
34. Rabl, A., & Spadaro, J. V. (2006). Environmental impacts and costs of energy. Annals of the New York Academy of Sciences, 1076(1), 516-526.
35. Saaty, T.(1977), A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281.
36. Saaty, T.(1980), The Analytic Hierarchy Process. McGraw-Hill, New York.
37. Saaty, T. L.(2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
38. Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.
39. Simon, H. A. (1991). Bounded rationality and organizational learning. Organization Science, 2(1), 125-134.
40. Sinclair, A., & Monge, M. (2010). Influence of process development decisions on manufacturing costs. BioProcess International, 8(8), 36-40.
41. Stenstrom, C., Norrbin, P., Parida, A., & Kumar, U. (2016). Preventive and corrective maintenance–cost comparison and cost–benefit analysis. Structure and Infrastructure Engineering, 12(5), 603-617.
42. Stoycheva, S., Marchese, D., Paul, C., Padoan, S., Juhmani, A. S., & Linkov, I. (2018).Multi-criteria decision analysis framework for sustainable manufacturing in automotive industry. Journal of Cleaner Prodution, 187(20), 257-272.
43. Sundaram, R. M., & Fu, S. S. (1988). Process planning and scheduling—a method of integration for productivity improvement. Computers & Industrial Engineering, 15(1-4), 296-301.
44. Swamidass, P. M. (1986). Manufacturing strategy: its assessment and practice. Journal of Operations Management, 6(4), 471-484.
45. Tonjes, D. J., & Mallikarjun, S. (2013). Cost effectiveness of recycling: A systems model. Waste Management, 33(11), 2548-2556.
46. Tracey, M., & Vonderembse, MA (2000). Building supply chains: a key to enhancing manufacturing performance. American Journal of Business, 15(2), 11-20.
47. U.S. Government Publishing Office (2010), 505(j) of the Federal Food, Drug, and Cosmetic Act. United State Code. Retrieved May 03,2024, from https://www.
govinfo.gov/content/pkg/USCODE-2010-title21/html/USCODE-2010-title21-chap9-subchapIII-sec331.htm.
48. Verkasalo, M., & Parkkinen, R. (1991). AHP in High Tech Production Decisions. 2nd Int. Symp. Analytic Hierarchy Process (ISAHP-II), Pittsburgh, USA.
49. Westgard, J. O. (2003). Internal quality control: planning and implementation strategies. Annals of Clinical Biochemistry, 40(6), 593-611.
50. Wheelwright, S. C. (1984). Manufacturing strategy: defining the missing link. Strategic Management Journal, 5(1), 77-91.
51. Yalcin, N., Bayrakdaroglu, A., & Kahraman, C. (2012). Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries. Expertancial Systems with Appations, 39(1), 350-364.
52. Yu, L. X. (2008). Pharmaceutical quality by design: product and process development, understanding, and control. Pharmaceutical Research, 25(4), 781-791.
53. Ziout, A., Azab, A., Altarazi, S., & ElMaraghy, W.H. (2013). Multi-criteria decision support for sustainability assessment of manufacturing system reuse. CIRP Journal of Manufacturing Science and Technology, 6(1), 59 -69.

指導教授

何應欽(Ying-Chin Ho)

審核日期

2024-7-23

推文