Identification and Evaluation of Criteria of Agile Manufacturing Using DEMATEL: A Case from an Indian Metal Fabrication Industry

Authors

  • S. Bathrinath Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India
  • Vadakapur Sai Charan Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India
  • S.G. Ponnambalam Faculty of Manufacturing Engineering, Universiti Malaysia Pahang, Pekan, Malaysia
  • S. Saravanasankar Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626126, Tamilnadu, India

DOI:

https://doi.org/10.15282/jmmst.v2i1.1801

Keywords:

Agile Manufacturing, Metal Fabrication, Industry, DEMATEL, India

Abstract

In metal fabrication industry, assembling department plays the major role since it involves risks in assembling the components. Hence, it is always difficult for the manufacturers to identify the criteria of agile manufacturing in assembling department that effects the assembly of the fabricated metal components. Agile manufacturing is one of the innovative method of manufacturing, which focus on the customer satisfaction and also maintaining the quality and cost of the product. Metal fabrication industries generally struggle to find right criteria for better agile manufacturing process. This study focuses on the selection of suitable criteria for agile manufacturing, which requires an in-depth analysis depending on the influence they possess on the agile manufacturing. The objective of this paper is to analyze and identify the most influencing criteria for the metal manufacturing industry based on the customers’ and industrial expert’s perspective. Here we have selected ten different criteria based on the literatures available on the agile manufacturing. The criteria are segregated and ranked according to the nature and influence they possess on other criteria using decision making trial and evaluation laboratory (DEMATEL) methodology. This study also helps the metal fabrication industry to identify the most influencing criteria to implement on agile manufacturing and to have high efficiency on the production. The results show that the customer satisfaction seems to be the primary criteria that will have more influence in metal fabrication industry.

References

Kidd, P. T. (1995). Agile manufacturing: forging new frontiers. Addison-Wesley Longman Publishing Co., Inc..

Naylor, J. B., Naim, M. M., & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of production economics, 62(1-2), 107-118.

Yusuf, Y. Y., Sarhadi, M., & Gunasekaran, A. (1999). Agile manufacturing:: The drivers, concepts and attributes. International Journal of production economics, 62(1-2), 33-43.

Gunasekaran, A. (1999). Agile manufacturing: a framework for research and development. International journal of production economics, 62(1-2), 87-105.

Gunasekaran, A. (1998). Agile manufacturing: enablers and an implementation framework. international journal of production research, 36(5), 1223-1247.

Sharifi, H., & Zhang, Z. (2001). Agile manufacturing in practice-Application of a methodology. International Journal of Operations & Production Management, 21(5/6), 772-794.

Sharp, J. M., Irani, Z., & Desai, S. (1999). Working towards agile manufacturing in the UK industry. International Journal of production economics, 62(1-2), 155-169.

Brown, S., & Bessant, J. (2003). The manufacturing strategy-capabilities links in mass customisation and agile manufacturing–an exploratory study. International Journal of Operations & Production Management, 23(7), 707-730.

Yamazaki, S., & Kato, K. (2009). U.S. Patent No. 7,566,010. Washington, DC: U.S. Patent and Trademark Office.

Clausing, D. (1998). Basic Concurrent Engineering. ASME press.

Beattie, B. R., Taylor, C. R., & Watts, M. J. (1985). The economics of production (No. 338.5 B369). New York: Wiley.

Christiansen, T., Berry, W. L., Bruun, P., & Ward, P. (2003). A mapping of competitive priorities, manufacturing practices, and operational performance in groups of Danish manufacturing companies. International Journal of Operations & Production Management, 23(10), 1163-1183.

Thomas E.. Vollmann, William L.. Berry, & Whybark, D. C. (1997). Manufacturing planning and control systems. Irwin/McGraw-Hill.

Griffin, A., Gleason, G., Preiss, R., & Shevenaugh, D. (1995). Best practice for customer satisfaction in manufacturing firms. Sloan Management Review, 36(2), 87.

Shieh, J. I., Wu, H. H., & Huang, K. K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277-282.

Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.

Zhou, Q., Huang, W., & Zhang, Y. (2011). Identifying critical success factors in emergency management using a fuzzy DEMATEL method. Safety science, 49(2), 243-252.

BüyüKözkan, G., Derelİ, T., & Baykasoğlu, A. (2004). A survey on the methods and tools of concurrent new product development and agile manufacturing. Journal of Intelligent Manufacturing, 15(6), 731-751.

Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organisations: An introduction. International journal of production economics, 62(1-2), 7-22.

Wang, Y. H., Yin, C. W., & Zhang, Y. (2003). A multi-agent and distributed ruler based approach to production scheduling of agile manufacturing systems. International Journal of Computer Integrated Manufacturing, 16(2), 81-92.

Yauch, C. A. (2007). Team-based work and work system balance in the context of agile manufacturing. Applied Ergonomics, 38(1), 19-27.

Conboy, K., & Fitzgerald, B. (2004, November). Toward a conceptual framework of agile methods: a study of agility in different disciplines. In Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research (pp. 37-44). ACM.

Connor, L. O. (1994). Agile manufacturing in a responsive factory. Mechanical Engineering, 116(7), 54.

Bunce, P., & Gould, P. (1996). From lean to agile manufacturing.

Sumrit, D., & Anuntavoranich, P. (2013). Using DEMATEL method to analyze the causal relations on technological innovation capability evaluation factors in Thai technology-based firms. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 4(2), 81-103.

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Published

26-03-2019

How to Cite

Bathrinath, S., Sai Charan, V., Ponnambalam, S., & Saravanasankar, S. (2019). Identification and Evaluation of Criteria of Agile Manufacturing Using DEMATEL: A Case from an Indian Metal Fabrication Industry. Journal of Modern Manufacturing Systems and Technology, 2(1), 61–74. https://doi.org/10.15282/jmmst.v2i1.1801

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