Skip to main content
SpringerLink
Log in

Analyzing Competitive Priorities for Machine Tool Manufacturing Industry: ANP Based Approach

  • Conference paper
  • First Online:
Book cover Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

  • 1736 Accesses

Abstract

In an attempt to study the success factors for the competitiveness of machine tool manufacturing (MTM) industry an in-depth study of 10 manufacturers located in India was carried out. Performance measures, especially which are related to supply chain (SC) activities, are also the part of competitive priorities [16, 17]. It can be seen that systematic identification and prioritization of SC performance indicators would help managers to integrate them into corporate strategy. An ANP approach is used to analyze the dynamic, large, and complex attribute decision. To perform the related computations, a programming platform of \(\text {MATLAB}^\text {TM }\) software suite was operated. Research findings unveiled that flexibility and quality dimensions are of foremost significance in the development of sector under study, followed by delivery indicators. However, the companies believed that cost constituents need to be focused to achieve overall SC competitiveness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Balakrishnan, K., Seshadri, S., Sheopuri, A., Iyer, A.: Indian auto-component supply chain at the crossroads. Interfaces 37(4), 310–323 (2007)

    Article  Google Scholar 

  2. Beamon, B.M.: Measuring supply chain performance. Int. J. Oper. Prod. Manage. 19(3), 275–292 (1999)

    Article  Google Scholar 

  3. Buyukyazien, M., Sueu, M.: The analytic hierarchy and analytic network processes. Hacettepe J. Math. Stat. 32, 65–73 (2003)

    Google Scholar 

  4. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429–444 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  5. Chou, C.: Development of comprehensive supply chain performance measurement system: A case study in grocery retail industry. http://dspace.mit.edu/bitstream/handle/1721.1/29520/57308003.pdf (2004)

  6. Dangayach, G.S., Deshmukh, S.G.: Evidence of manufacturing strategies in Indian industry: A survey. Int. J. Prod. Econ. 83(3), 279–298 (2003)

    Article  Google Scholar 

  7. Deng, J.L.: The introduction to grey system theory. J. Grey Syst. 1(1), 1–24 (1989)

    MATH  Google Scholar 

  8. Dolabi, H., Radfar, R., Nasr, M.: Applied imprecise data envelopment analysis for selecting the efficient method of technology transfer: A case study in automotive parts manufacturing industry corporation. Contemp. Eng. Sci. 4(1), 13–24 (2011)

    Google Scholar 

  9. Edwards, L., Golub, S.: South Africa’s international cost competitiveness and exports in manufacturing. World Dev. 32(8), 1323–1339 (2004)

    Article  Google Scholar 

  10. Fuss, M.A., Waverman, L.: Cost and productivity in automobile production: The challenges of Japanese efficiency, Cambridge (2006)

    Google Scholar 

  11. Garvin, D.A.: Competing on the eight dimension of quality. Harv. Bus. Rev. 65(6), 101–109 (1987)

    Google Scholar 

  12. Gunasekaran, A., Kobu, B.: Performance measures and metrics in logistics and supply chain management: A review of recent literature (1995–2004) for research and applications. Int. J. Prod. Res. 45(12), 2819–2840 (2006)

    Article  Google Scholar 

  13. Gunasekaran, A., Patel, C., McGaughey, R.E.: A framework for supply chain performance measurement. Int. J. Prod. Econ. 87(3), 333–347 (2004)

    Article  Google Scholar 

  14. Ho, D.C.K., Au, K.F., Newton, E.: Empirical research on supply chain management: A critical review and recommendations. Int. J. Prod. Res. 40(17), 4415–4430 (2002)

    Article  MATH  Google Scholar 

  15. Jamil, C.M., Mohamed, R.: Performance measurement system (PMS) in small and medium enterprises (SMES): A practical modified framework. World J. Soc. Sci. 1(3), 200–212 (2011)

    Google Scholar 

  16. Joshi, D., Nepal, B., Rathore, A.P.S., Sharma, D.: On supply chain competitiveness of India automotive component manufacturing industry. Int. J. Prod. Eco. 143(1), 151–161 (2013)

    Article  Google Scholar 

  17. Joshi, D., Rathore, A.P.S., Sharma, D., Nepal, B.: Determinants of competitiveness and their relative importance: A study of Indian auto-component industry. Int. J. Serv. Oper. Manage. 10(4), 426–448 (2011)

    Google Scholar 

  18. Majumdar, S.: How do they plan for growth in auto component business? - A study on small foundries of western India. J. Bus. Venturing 25(3), 274–289 (2010)

    Article  Google Scholar 

  19. Navarro, T.G., Melon, M.G., Martin, D.D., Dutra, S.A.: Evaluation of urban development proposals: An ANP approach. World Acad. Sci. Eng. Tech. 44, 498–508 (2008)

    Google Scholar 

  20. Neely, A., Mills, J., Platts, K., Richard, H., Gregory, M., Bourne, M., Kennerley, M.: Performance measurement system design: Developing and testing a process-based approach. Int. J. Oper. Prod. Manage. 20(10), 1119–1145 (2000)

    Article  Google Scholar 

  21. Neely, A.D., Gregory, M., Platts, K.: Performance measurement system design: A literature review and research agenda. Int. J. Oper. Prod. Manage. 15(4), 80–116 (1995)

    Article  Google Scholar 

  22. Olugu, E.U., Wong, K.Y., Shaharoun, A.M.: A comprehensive approach in assessing the performance of an automobile closed-loop supply chain. Sustainability 2(4), 871–889 (2010)

    Article  Google Scholar 

  23. Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(5), 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  24. Ravi, V., Shankar, R., Tiwari, M.K.: Analyzing alternative in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Comput. Ind. Eng. 48(2), 327–356 (2005)

    Article  Google Scholar 

  25. Saaty, T.L.: The Analytic Hierarchy Process. New York (1980)

    Google Scholar 

  26. Saaty, T.L.: Decision Making with Dependence and Feedback: The Analytic Network Process. 2nd edn. Pittsburgh (2001)

    Google Scholar 

  27. Sangwan, K.S., Digalwar, A.K.: Evaluation of world-class manufacturing systems: A case of Indian automotive industries. Int. J. Serv. Oper. Manage. 4(6), 687–708 (2008)

    Google Scholar 

  28. Singh, R.K., Garg, S.K., Deshmukh, S.G.: Strategy development for competitiveness: A study on Indian auto component sector. Int. J. Prod. Perform Manage. 56(4), 285–304 (2007)

    Article  Google Scholar 

  29. Tzeng, G.-H., Huang, J.-J.: Multiple Attribute Decision Making: Methods and Applications. CRC Press, USA (2011)

    Google Scholar 

  30. Upton, D.: The management of manufacturing flexibility. California Manage. Rev. 36(2), 72–89 (1994)

    Google Scholar 

  31. Van Dierdonck, R., Miller, J.G.: Designing production planning and control systems. J. Oper. Manage. 1(1), 37–46 (1980)

    Article  Google Scholar 

  32. Ward, P.T., Duray, R.: Manufacturing strategy in context: Environment, competitive strategy and manufacturing strategy. J. Oper. Manage. 18(6), 123–138 (2000)

    Article  Google Scholar 

  33. Zhao, X., Yeung, J.H.Y., Zhou, O.: Competitive priorities of enterprises in mainland China. Total Qual. Manage. 13(3), 285–300 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research/Faculty Associate, Gautam Buddha University, Greater Noida, India

    Deepika Joshi

Authors
  1. Deepika Joshi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Deepika Joshi .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this paper

Cite this paper

Joshi, D. (2014). Analyzing Competitive Priorities for Machine Tool Manufacturing Industry: ANP Based Approach. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1602-5_19

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation