Skip to main content
SpringerLink
Log in

Thirty criteria based leanness assessment using fuzzy logic approach

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Nowadays manufacturing organizations are moving towards lean practices to keep pace with the competition. Lean practices mainly focuses on eliminating seven deadly wastes, thereby reducing the cost. Leanness is the measure of lean manufacturing practices. This paper presents the 30 criteria based leanness assessment methodology using fuzzy logic. Fuzzy logic has been used to overcome the disadvantages with scoring method such as impreciseness and vagueness. During this research, a conceptual model for leanness assessment has been designed. Then the fuzzy leanness index which indicates the leanness level of the organization and fuzzy performance importance index which helps in identifying the obstacles for leanness has been computed. The results indicate that the model is capable of effectively assessing leanness and has practical relevance.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Abdulmalek FA, Rajgopal J (2007) Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study. Int J Prod Econ 107:223–236

    Article  Google Scholar 

  2. Al-Najjar A (2002) Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. Int J Prod Econ 84:85–100

    Article  Google Scholar 

  3. Bayou ME, De Korvin A (2008) Measuring the leanness of manufacturing systems—a case study of Ford Motor Company and General Motors. J Eng Technol Manag 25:287–304

    Article  Google Scholar 

  4. Beskese A, Kahraman C, Irani Z (2004) Quantification of flexibility in advanced manufacturing systems using fuzzy concept. Int J Prod Econ 89:45–56

    Article  Google Scholar 

  5. Carlier J, Hermes F, Moukrim A, Ghedira K (2010) Exact resolution of the one-machine sequencing problem with no machine idle time. Comput Ind Eng 59:193–199

    Article  Google Scholar 

  6. Chan FTS, Lau HCW, Ip RWL, Chan HK, Kong S (2005) Implementation of total productive maintenance: a case study. Int J Prod Econ 95(1):71–94

    Article  Google Scholar 

  7. Chen CT, Lin CT, Huang SF (2006) A fuzzy approach for supplier evaluation and selection in supply chain management. Int J Prod Econ 102:289–301

    Article  Google Scholar 

  8. Chen Y (1997) A measurement of the resource utilization efficiency of university libraries. Int J Prod Res 53:71–80

    Google Scholar 

  9. Dale BG, Lightburn K (1992) Continuous quality improvement: why some organisations lack commitment. Int J Prod Econ 27(1):57–67

    Article  Google Scholar 

  10. Ertay T (1998) Simulation approach in comparison of a pull system in a cell production system with a push system in a conventional production system according to flexible cost: a case study. Int J Prod Econ 56–57:145–155

    Article  Google Scholar 

  11. Gopalakrishnan N (2010) Simplified lean manufacture: elements, rules, tools, and implementation. PHI Learning Private Limited, New Delhi

    Google Scholar 

  12. Govers PM (2001) QFD not just a tool but a way of quality management. Int J Prod Econ 69:151–159

    Article  Google Scholar 

  13. Guesgen HW, Albrecht J (2000) Imprecise reasoning in geographic information systems. Fuzzy Sets and Systems 113:121–131

    Article  MATH  Google Scholar 

  14. Hines P, Rich N (1997) The seven value stream mapping tools. Int J of Operat Prod Manag 17(1):46–64

    Article  Google Scholar 

  15. Karsak EE, Tolga E (2001) Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments. Int J Prod Econ 69(1):49–64

    Article  Google Scholar 

  16. Land J (2009) A card-based system for job shop control. Int J Prod Res 117:97–103

    Google Scholar 

  17. Lin CT, Chiu H, Tseng YH (2006) Agility evaluation using fuzzy logic. Int J Prod Econ 101:353–368

    Article  Google Scholar 

  18. Perera HSC, Nagarur N, Tabucanon T (1999) Component part standardization: a way to reduce the life-cycle costs of products. Int J Prod Res 60–61:109–116

    Google Scholar 

  19. Petersen K, Wohlin C (2010) Software process improvement through the lean measurement (SPI-LEAM) method. J Syst Softw 83:1275–1287

    Article  Google Scholar 

  20. Pepiot G, Cheikhrouhou N, Furbringer JM, Glarddon R (2008) A fuzzy approach for the evaluation of competences. Int J Prod Econ 112:336–353

    Article  Google Scholar 

  21. Shah R, Ward T (2003) Lean manufacturing: context, practice bundles, and performance. J Oper Manag 21:129–149

    Article  Google Scholar 

  22. Smith R, Hawkins B (2004) Total productive maintenance (TPM). Lean Maintenance 55–104.

  23. Sullivan G, McDonald N, Aken MV (2002) Equipment replacement decisions and lean manufacturing. Rob Comp Integrat Manuf 18:255–265

    Article  Google Scholar 

  24. Vinodh S, Chintha SK (2009) Leanness assessment using multi grade fuzzy approach. Int J Prod Res 49(2):431–445

    Article  Google Scholar 

  25. Wang RC, Chuu SJ (2004) Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system. Eur J Oper Res 154(3):563–572

    Article  MATH  Google Scholar 

  26. Zapfel G (1998) customer- order-driven production: an economical concept for responding to demand uncertainty. Int J Prod Econ 56–57:699–709

    Article  Google Scholar 

  27. Zimniak A, Jozefowska J (2008) Optimization tool for short-term production planning and scheduling. Int J Prod Res 112:109–120

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Institute of Technology, Tiruchirappalli, Tamil Nadu, India

    S. Vinodh & K. E. K. Vimal

Authors
  1. S. Vinodh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. E. K. Vimal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Vinodh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vinodh, S., Vimal, K.E.K. Thirty criteria based leanness assessment using fuzzy logic approach. Int J Adv Manuf Technol 60, 1185–1195 (2012). https://doi.org/10.1007/s00170-011-3658-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-011-3658-y

Keywords

Search

Navigation