Critical Success Factors of the Intelligentization in Precision Machinery Industry


  • Chen Chao-Hsuan Feng Chia University
  • Lai We-Hsiang Feng Chia University



Machinery manufacturing industry, Critical Success factors, Intelligentization, Industry 4.0


Various industries related to daily life are related to the precision machinery industry (PMI). With the pace of Industry 4.0, PMI is one of the industries with great development potential. Renewal progress has not only caused changes in life but also revealed a significant impact on occupations. In recent years, the rise of Industry 4.0 has increased the output value of various industries. The launch of Industry 4.0 has led to global manufacturing initiatives to improve production efficiency and to reduce its burden. In order to increase its industrial benefit as the goal, it is important to discuss the problems and challenges that people face. Therefore, this study uses the Analytic Hierarchy Process (AHP) method to focus on the objectives of the research on the critical success factors of intelligentization in PMI. This study not only expects to provide the existing machinery manufacturing industry and the management policies for the future investment in PMI manufacturer reference value but also expects to serve as an academic reference for government policy considerations and scholars in the machinery manufacturing industry.


Andrzej Magruk (2016). Uncertainty in the sphere of the Industry 4.0 -Potential Areas to Research, ManageMent, and Education, 14(2), 275-291.

Collins CJ, Clark KD. (2003). Strategic human resource practices, top management team social networks, and firm performance: the role of human resource in creating organizational competitive advantage. Academy of Management Journal. Volume 46(6): 740–51.

Donate, M.J., & de Pablo, J.D.S. (2018). The role of knowledge-oriented leadership in knowledge management practices and innovation. Management Science Letters, 8(3), 151-160.

Igor Halenár, Bohuslava Juhásová, & Martin Juhás (2016). Design of a communication scheme in a modern factory in accordance with the standard of industry 4.0, Research papers, 24(39), 101- 109.

Jun Yin. (2015), The application of industry 4.0 in the aeronautical manufacturing industry. Manufacturing Automation, 37 (10), 5-5.

Jones, G.R., George, J.M., & Hill, C.W. (2003). Contemporary management New York: McGraw- Hill/Irwin.

Kreimeier, D., Morlock, F., Prinz, C., Krückhans, B., Bakir, D. C., & Meier, H. (2014). Holistic learning factories-A concept to train lean management, resource efficiency, as well as management and organization improvement skills. Procedia CIRP, 17, 184-188.

Lin Wang, Jinfeng He, Songjie Xu (2017). The Application of Industry 4.0 in Customized Furniture Manufacturing Industry, MATEC Web of Conferences 100, 1, 1-4.

Ting Hong, Chen、Yao Yu, Yang & Zi Yi, Dong(2018). Patent Trend Analysis of Machine Tool Industry 4.0, Intellectual Property Rights Monthly, 229, 63-78.

Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to the supply chain? Procedia Manufacturing, 13, 1175-1182.

Tom burns, & G.M. Stalker. (, 1961). The management of innovation. London, Tavistock.

Vaidyaa, S., Ambadb, P., & Bhoslec, S. (2018). Industry 4.0–a glimpse. Design Engineering,

Procedia Manufacturing 20, 233–238.

Paravizo, E., Chaim, O. C., Braatz, D., Muschard, B., & Rozenfeld, H. (2018). Exploring

gamification to support manufacturing education on industry 4.0 as an enabler for innovation

and sustainability. Procedia Manufacturing, 21, 438-445.

Sungbum Parka (2016). Development of Innovative Strategies for the Korean Manufacturing

Industry by Use of the Connected Smart Factory (CSF), ScienceDirect, 91, 744- 750.

Rong Feng, Zhong (2015). Silence pushes Taiwan's precision machinery to hold up the sky. Central

News Agency. From

Saqib Shamim, Shuang Cang, Hongnian Y1, Yun Li (2016). Management Approaches for Industry 4.0 A human resource management perspective, IEEE Congress on Evolutionary Computation

(CEC), 6(16), 5309-5316.