Measuring organisational agility before and after implementation of TADS

ORIGINAL ARTICLE

Abstract

The ever increasing competition compels the modern organisations to react quickly in accordance with this kind of dynamic demands of the customers, which is referred to as agility, and currently researchers are addressing these capabilities under the field agile manufacturing. The success of achieving agility lies in designing agile-friendly products. In this direction, very little researches have been pursued. In order to fill this gap, a model called total agile design system (TADS) is proposed. The implementation study conducted to examine this model in a traditional manufacturing company is briefly appraised. A scoring model has been used for measuring agility before and after implementation of TADS. The implementation study revealed the improvement of agility by 10%. This improvement is appreciable in traditional manufacturing organisation where only the mass production-based practices are only currently practiced.

Keywords

Agile manufacturing Agility quantification Computer aided design Implementation study Organisational agility 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gunasekaran A, K-h L, Cheng TCE (2008) Responsive supply chain: a competitive strategy in a networked economy. Omega 36(4):549–564CrossRefGoogle Scholar
  2. 2.
    Saisse MCP, Wilding RD (1997) Short-term strategic management in mass customized markets. Logist Inf Manag 10(5):199–207CrossRefGoogle Scholar
  3. 3.
    Maskell B (2001) The age of agile manufacturing. Supply Chain Manag: Int J 6(1):5–11CrossRefGoogle Scholar
  4. 4.
    Jin-Hai L, Anderson AR, Harrison RT (2003) The evolution of agile manufacturing. Bus Process Manag J 9(2):170–189CrossRefGoogle Scholar
  5. 5.
    Brown S, Bessant J (2003) The manufacturing strategy—capabilities links in mass customisation and agile manufacturing—and exploratory study. Int J Oper Prod Manage 23(7):707–730CrossRefGoogle Scholar
  6. 6.
    Yusuf YY, Adeleye EO (2002) A comparative study of lean and agile manufacturing with a related survey of current practices in the UK. Int J Prod Res 98:4545–4562CrossRefGoogle Scholar
  7. 7.
    Gunasekaran A (1998) Agile manufacturing: enablers and an implementation framework. Int J Prod Res 36(5):1223–1247MATHCrossRefGoogle Scholar
  8. 8.
    Vinodh S, Sundararaj G, Devadasan SR, Kuttalingam D, Meenakshi Sundaram PL, Rajanayagam D (2008) Enhancing competitiveness through CAD phase of total agile design system. Int J Process Management and Benchmarking 2(3):197–220CrossRefGoogle Scholar
  9. 9.
    Meredith S, Francis D (2000) Journey towards agility: the agile wheel explored. TQM Mag 12(2):137–143CrossRefGoogle Scholar
  10. 10.
    Yusuf YY, Sarhadi M, Gunasekaran A (1999) Agile manufacturing: the drivers, concepts and attributes. Int J Prod Econ 62:33–43CrossRefGoogle Scholar
  11. 11.
    Kumar A, Motwani J (1995) A methodology for assessing time-based competitive advantage of manufacturing firms. Int J Oper Prod Manage 15(2):36–53CrossRefGoogle Scholar
  12. 12.
    Sharifi H, Zhang Z (1999) A methodology for achieving agility in manufacturing organizations: an introduction. Int J Prod Econ 62(1–2):7–22CrossRefGoogle Scholar
  13. 13.
    Zhang Z, Sharifi H (2000) A methodology for achieving agility in manufacturing organizations. Int J Oper Prod Manage 20(4):496–512CrossRefGoogle Scholar
  14. 14.
    Yang SL, Li TF (2002) Agility evaluation of mass customisation product manufacturing. J Mater Process Technol 129(1–3):640–644CrossRefGoogle Scholar
  15. 15.
    Lin C-T, Chiu H, Tseng Y-H (2006) Agility evaluation using fuzzy logic. Int J Prod Res 101(2):353–368Google Scholar
  16. 16.
    Arteta BM, Giachetti RE (2004) A measure of agility as the complexity of the enterprise system. Robot Comput-Integr Manuf 20(6):495–503CrossRefGoogle Scholar
  17. 17.
    Devadasan SR, Goshteeswaran S, Gokulachandran J (2005) Design for quality in agile manufacturing environment through modified orthogonal array-based experimentation. Journal of Manufacturing Technology Management 16(6):576–597CrossRefGoogle Scholar
  18. 18.
    Ramesh G, Devadasan SR (2007) Literature review on the agile manufacturing criteria. Journal of Manufacturing Technology Management 18(2):182–201CrossRefGoogle Scholar
  19. 19.
    Franceschini F, Rossetto S (1999) Tools and supporting techniques for design quality. Benchmarking: An International Journal 6(3):212–219CrossRefGoogle Scholar
  20. 20.
    Dorabjee S, Lumlee CE, Cartwright S (1998) Culture, innovation and successful development of new medicines—an exploratory study of the pharmaceutical industry. Leadersh Organ Dev J 19(4):199–210CrossRefGoogle Scholar
  21. 21.
    Chieh-Wen S, Shen M-J, Chen M-C (2008) Special interest tour preferences and voluntary simplicity lifestyle. International Journal of Culture, Tourism and Hospitality Research 2(4):389–409CrossRefGoogle Scholar
  22. 22.
    Anantatmula V, Kanungo S (2006) Structuring the underlying relations among the knowledge management outcomes. J Knowl Manag 10(4):25–42CrossRefGoogle Scholar
  23. 23.
    Sherehiy B, Karwowski W, Layer JK (2007) A review of enterprise agility: concepts, frameworks and attributes. Int J Ind Ergon 37:445–460CrossRefGoogle Scholar
  24. 24.
    Sigala M (2006) Mass customisation implementation models and customer value in mobile phones services- preliminary findings from Greece. Manag Serv Qual 16(4):395–420CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  1. 1.Department of Production EngineeringNational Institute of TechnologyTiruchirappalliIndia
  2. 2.Department of Mechanical EngineeringPSG College of TechnologyCoimbatoreIndia
  3. 3.Department of Production EngineeringPSG College of TechnologyCoimbatoreIndia

Personalised recommendations