| 研究生: |
林豊論 Lin, Li-Lun |
|---|---|
| 論文名稱: |
運用層級分析法(AHP)探討企業內部參與者評選之關鍵因素以工業3D列印設備為例 Using the Analytic Hierarchy Process (AHP) to Explore the Key Factors in the Evaluation of Internal Participants: A Case Study of Industrial 3D printing Equipment |
| 指導教授: |
周庭楷
Chou, Ting-Kai |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 高階管理碩士在職專班(EMBA) Executive Master of Business Administration (EMBA) |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 129 |
| 中文關鍵詞: | 工業3D列印設備 、層級分析法 (AHP) 、企業決策 、設備採購 、行銷策略 |
| 外文關鍵詞: | Industrial 3D printing equipment, Analytic Hierarchy Process (AHP), corporate decision-making, equipment procurement, marketing strategy |
| 相關次數: | 點閱:12 下載:0 |
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本研究運用層級分析法(AHP),探討企業在選購工業3D列印設備時,不同層級決策者的關鍵考量因素。研究對象涵蓋企業高層(如董事長、總經理)、中階主管(研發、生產、行銷等)及第一線工程師。結果顯示,高層重視設備對市場競爭力與財務回報的影響;中階主管則關注設備穩定性、維修保障及生產效率;工程師則聚焦操作便利性、維修性與環境安全。此層級差異將影響企業內部決策流程及供應商行銷策略。研究進一步提出分層行銷建議與採購評選SOP,有助於設備供應商精準配合客戶需求,並提升企業採購效率與決策品質,促進3D列印技術於產業中的應用與推廣。
This study employs the Analytic Hierarchy Process (AHP) to explore the key factors considered by decision-makers at different levels within enterprises when selecting industrial 3D printing equipment. Through an in-depth analysis of three levels of decision-makers—senior executives (e.g., chairpersons, general managers), middle management (including R&D, design, production, procurement, and marketing managers), and engineers/equipment users—the study reveals significant differences in their purchasing concerns. Senior executives primarily focus on market competitiveness, financial returns, and the impact of equipment technology on corporate development. Middle management places greater emphasis on equipment stability, maintenance support, and production efficiency to ensure uninterrupted operations and mitigate management risks. Engineers and equipment users, on the other hand, prioritize maintenance convenience, ease of operation, and environmental safety to reduce their daily workload.
The findings indicate that in the decision-making process, senior executives tend to prioritize long-term strategy and market value, middle management seeks a balance between corporate strategy and operational efficiency, while engineers focus on practical usability. These hierarchical differences not only shape the internal decision-making process but also have a direct impact on the marketing strategies of equipment suppliers. Based on this, the study proposes differentiated marketing and sales strategies tailored to decision-makers at different levels to help suppliers better align with customer needs and enhance market competitiveness.
Furthermore, this study provides recommendations for various stakeholders in the 3D printing industry, including equipment manufacturers, material suppliers, application developers, and contract 3D printing service providers. It also offers a standardized Selection SOP (Standard Operating Procedure) for enterprise buyers to improve decision-making efficiency, reduce risks, and ensure that equipment selection aligns with production needs and market trends. The findings of this study not only provide market insights for 3D printing equipment suppliers but also offer scientific decision-making support for enterprise buyers, ultimately promoting the broader adoption and development of 3D printing technology.
Berman, B. (2012). 3-D printing: The new industrial revolution. Business Horizons, 55(2), 155-162.
Blome, C., & Schoenherr, T. (2011). Supply chain risk management in financial crises. International Journal of Production Economics, 134(1), 43-57. DOI: 10.1016/j.ijpe.2011.01.008
Buswell, R. A., Soar, R. C., Gibb, A. G. F., & Thorpe, A. (2007). Freeform construction: Mega-scale rapid manufacturing for construction. Automation in Construction, 16(2), 224-231.
Choi, T. Y., & Hartley, J. L. (1996). An exploration of supplier selection practices across the supply chain. Journal of Operations Management, 14(4), 333-343. DOI: 10.1016/S0272-6963(96)00091-5
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. DOI: 10.2307/249008
Dickson, G. W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17. DOI: 10.1111/j.1745-493X.1966.tb00188.x
Dormer, P., et al. (2013). Life cycle assessment of industrial plastic manufacturing. Sustainable Production and Consumption, 3, 10-20. DOI: 10.1016/j.spc.2013.05.003
Flick, U., von Siemens, M., & Gerth, R. (2017). A new approach to manufacturing system energy efficiency assessment. Journal of Cleaner Production, 142, 2404-2416. DOI: 10.1016/j.jclepro.2016.11.122
Frazier, W. E. (2014). Metal additive manufacturing: A review. Journal of Materials Engineering and Performance, 23(6), 1917-1928. https://doi.org/10.1007/s11665-014-0958-z
Gibson, I., Rosen, D. W., & Stucker, B. (2010). Additive manufacturing technologies: Rapid prototyping to direct digital manufacturing. Springer.
He, X., et al. (2022). Resource efficiency in manufacturing: A quantitative assessment. Journal of Industrial Ecology, 26(4), 810-825. DOI: 10.1111/jiec.13204
Hull, C. W. (1986). Apparatus for production of three-dimensional objects by stereolithography. U.S. Patent No. 4,575,330. United States Patent and Trademark Office.
Ishizaka, A., & Labib, A. (2011). "Review of the main developments in the Analytic Hierarchy Process." Expert Systems with Applications.
Johnston, W. J., & Lewin, J. E. (1996). Organizational buying behavior: Toward an integrative framework. Journal of Business Research, 35(1), 1-15. DOI: 10.1016/0148-2963(94)00077-8
Kantti.net. (2023). Reducing failure rates in 3D printing: Impact on business adoption. Kantti Technology Review. Retrieved from www.kantti.net. Accessed on: Feb. 15,2025
Kilinç, M. S., & Onal, S. (2011). "Supplier selection using AHP: An application in a steel company." Journal of Industrial Engineering.
Kotler, P. (1991). Marketing management: Analysis, planning, implementation, and control. Prentice-Hall.
Kruth, J. P., Leu, M. C., & Nakagawa, T. (1998). Progress in additive manufacturing and rapid prototyping. CIRP Annals, 47(2), 525-540. https://doi.org/10.1016/S0007-8506(07)63240-5
Meade, L. M., & Presley, A. (2002). "R&D project selection using the Analytic Hierarchy Process." IEEE Transactions on Engineering Management.
Mellor, S., Hao, L., & Zhang, D. (2014). Additive manufacturing: A framework for implementation. International Journal of Production Economics, 149, 194-201.
Murphy, S. V., & Atala, A. (2014). 3D bioprinting of tissues and organs. Nature Biotechnology, 32(8), 773-785.
Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T., & Hui, D. (2018). Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172-196.
Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. Harper & Row.
Porter, M. E. (1990). The competitive advantage of nations. Free Press.
Reeves, P. (2008). Additive manufacturing–A supply chain wide response to economic uncertainty and environmental sustainability. Economist Intelligence Unit Report.
Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill.
Saaty, T. L., & Vargas, L. G. (1991). Prediction, Projection, and Forecasting. Kluwer Academic Publishers.
Sheth, J. N. (1973). A model of industrial buyer behavior. Journal of Marketing, 37(4), 50-56. DOI: 10.1177/002224297303700407
Stahl, G. (2013). Environmental impact of additive manufacturing: Material and process considerations. Journal of Sustainable Manufacturing, 5(1), 45-58.
Strange, R., & Zucchella, A. (2017). Industry 4.0, global value chains and international business. Multinational Business Review, 25(3), 174-184
Thompson, M. K., Moroni, G., Vaneker, T., Fadel, G., Campbell, R. I., Gibson, I., ... & Bernard, A. (2016). Design for additive manufacturing: Trends, opportunities, considerations, and constraints. CIRP Annals, 65(2), 737-760.
Tupa, J., et al. (2017). The impact of Industry 4.0 on manufacturing decision-making. Computers in Industry, 91, 257-268. DOI: 10.1016/j.compind.2017.06.002
Wadhwa, V., & Ravindran, A. R. (2007). Vendor selection in outsourcing. Computers & Operations Research, 34(12), 3725-3737. DOI: 10.1016/j.cor.2006.01.009
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. DOI: 10.1016/0377-2217(91)90033-R
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. DOI: 10.1016/0377-2217(91)90033-R
Webster, F. E., & Wind, Y. (1992). Organizational buying behavior. Prentice Hall.
Wohlers, T., & Campbell, I. (2024). Wohlers Report 2024: Additive Manufacturing and 3D Printing State of the Industry. ASTM International. Retrieved from https://www.wohlersassociates.com. Accessed on: Feb. 15,2025
Wohlers, T., & Gornet, T. (2014). History of additive manufacturing. Wohlers Report 2014.Retrieved from https://www.wohlersassociates.com. Accessed on: Feb. 15,2025
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. DOI: 10.1177/002224298805200302
工業技術研究院 (ITRI). (2020). 2020年3D列印產業發展趨勢報告. 工研院技術研究報告. www.itri.org.tw。搜尋日期:2025年3月6號。
鄭偉森 (2019)。工業自動控制領域的採購流程分析。科技管理學報,24(3),35-49。
林宜欣 (2020)。3D CAD建模軟體採購因素分析—以台灣企業為例。國立中央大學碩士論文。
王紹維 (2017)。工業設備購買意願與品牌要素的影響關係。國立成功大學碩士論文。
徐彰孚 & 劉祐君 (2013)。企業財務評估對工業設備採購決策的影響分析。台灣管理學刊,18(2),87-105。
曾思嘉 (2015)。雙邊規格下多條生產線之供應商選擇研究。國立交通大學碩士論文。
黃弘毅 (2002)。智慧型供應商選擇支援系統。國立成功大學碩士論文。
吳蕙圜 (2005)。以程式代理人為基礎之供應商選擇系統。國立成功大學碩士論文。
張日安 (2007)。綠色供應鏈供應商選擇之研究。中原大學碩士論文。
許婉甄 (2022)。晶圓封裝焊錫球供應商評選分析。國立中興大學碩士論文。
黃毓煒 (2022)。射出成型機採購決策分析。台灣科技大學碩士論文。
曾惠瑜 (2024)。工具機業供應商評選與決策分析。國立成功大學碩士論文。
林清河 (2009)。層級分析法(AHP)與多準則決策方法在企業採購中的應用。台灣管理學報,14(3),45-62。
校內:2029-12-31公開