Skip to main content

Advertisement

SpringerLink
Log in

An integrated fuzzy approach for the selection of manufacturing technologies

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In this paper, an integrated decision support system is developed, which employs fuzzy techniques to assist decision-makers in choosing an optimal solution from alternative manufacturing options in an uncertain environment. The integrated approach incorporates different justification methods (e.g., strategic, economic, and analytic evaluations) for assessing tangible benefits, like cost, and intangible benefits, like quality, of different alternatives by a fuzzy multi-criteria decision-making method. As an illustrative example, selection of different advanced manufacturing technologies has been demonstrated by using the proposed methodology. The proposed concept will greatly reduce conflicts between tangible and intangible factors, and enhance the process of identification, interpretation, and diagnosis of the value of complex manufacturing and engineering systems.

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. Zadeh LA (1975) The concepts of linguistic variable and its application to approximate reasoning, Inf Sci 8(1):199–249

    Google Scholar 

  2. Liang GS, Wang MJ (1991) A fuzzy multi-criteria decision making method for facility site selection. Int J Prod Res 29(11):2313–2330

    MATH  Google Scholar 

  3. Prabhu TR, Vizayakumar K (1996) Fuzzy hierarchical decision making method (FHDM): A methodology for technology choice. Int J Comput Appl Technol 9(5):322–329

    Google Scholar 

  4. Kuei CH, Lin C, Madu CN (1994) A strategic decision model for the selection of advanced technology. Int J Prod Res 32(9):2117–2130

    MATH  Google Scholar 

  5. Willis RG, Sullivan KH (1984) CIM in perspective: costs, benefits, timing, payback periods are outlined. Ind Eng 4(2):28–35

    Google Scholar 

  6. Attaran M (1989) The automated factory: justification and implementation. Bus Horiz 32(3):80–85

    Article  Google Scholar 

  7. Hayes RH, Jaikumar R (1991) Requirements for successful implementation of new manufacturing technologies, J Eng Technol Manage 7(2):169–175

    Google Scholar 

  8. Poo AN (1990) A case for further automation. Mirror, January, pp 10–12

  9. Meredith JR (1987) Implementation new manufacturing technologies: managerial lessons over the FMS life cycle. Interface 17(6):51–62

    Google Scholar 

  10. Stainer A, Ghobadian A, Liu J, Stainer L (1996) Strategic investment appraisal for advanced manufacturing technology. Int J Mater Prod Technol 11:76–88

    Google Scholar 

  11. Ordoobadi SM, Mulvaney NJ (2001) Development of a justification tool for advanced manufacturing technologies: system-wide benefits value analysis. J Eng Technol Manage 18(2):157–184

    Article  Google Scholar 

  12. T Hill (1989) Manufacturing strategy: text and cases. Irwin, New York

    Google Scholar 

  13. Chan FTS, Chan MH, Lau H, Ip RWL (2001) Investment appraisal techniques for advanced manufacturing technology (AMT): a literature review. Int J Manuf Technol Manage 21(1):35–47

    Google Scholar 

  14. Koenig DT (1990) Computer integrated manufacturing: theory and practice. Hemi-sphere, New York

    Google Scholar 

  15. Fotsch RJ (1984) Machine tool justification policies: their effect on productivity and profitability. J Manuf Systems 3(2):169–195

    Google Scholar 

  16. Rosenthal S (1984) A survey of factory automation in the US. Oper Manage Rev, Winter, pp 41–48

  17. Chui YC, Chan SP (1994) Fuzzy cash flow analysis using present worth criterion. Eng Economist 39(2):113–138

    Google Scholar 

  18. Kaplan RS (1984) Yesterday’s accounting undermines production. Harvard Bus Rev 62(4):95–101

    Google Scholar 

  19. Curtis DA (1987) An heuristic to evaluate investments for improved economies of scope in manufacturing. J Manuf Syst 6(4):325–327

    Google Scholar 

  20. Toone R (1994) Manufacturing success – how to manage your competitive edge. Prentice-Hall, New York

  21. Chen IJ, Small MH (1994) Implementing advanced manufacturing technology: an integrated planning model. Manage Sci 22(1):91–103

    MATH  Google Scholar 

  22. Meredith JR, Suresh NC (1986) Justification techniques for advanced manufacturing technologies. Int J Prod Res 24(5):1043–1057

    Google Scholar 

  23. Sullivan WG (1986) Models IES can use to include strategic, nonmonetary factors in automation decisions. Ind Eng 18(2):42–50

    Google Scholar 

  24. Saaty TL (1990) The analytic hierarchy process. McGraw-Hill, New York

  25. Zahedi F (1986) The analytic hierarchy process – a survey of the method and its applications. Interface 16(4):96–108

    Article  Google Scholar 

  26. Krinsky I, Miltenburg J (1991) Alternate method for the justification of advanced manufacturing technologies. Int J Prod Res 29(5):997–1015

    Google Scholar 

  27. Persentili E, Alptekin SE (2000) Product flexibility in selecting manufacturing planning and control strategy. Int J Prod Res 38(9):2011–2021

    Article  MATH  Google Scholar 

  28. Efstathiadesa A, Tassoub S, Antoniouc A (2002) Strategic planning, transfer and implementation of advanced manufacturing technologies (AMT)./ Technovation 22(4):201–212

    Google Scholar 

  29. Wang MJ, Liang GS (1995) Benefit/cost analysis using fuzzy concept. Eng Economist 40(4):359–376

    Google Scholar 

  30. Czogala E (1990) Multicriteria decision making by mean of fuzzy and probabilistic sets. Fuzzy Sets Syst 36:235–244

    Article  MathSciNet  Google Scholar 

  31. Leung Y (1980) A fuzzy sets procedure for project selection. In: Wang PP, Chang SK, eds. Fuzzy sets, theory and applications to policy analysis and information systems. Plenum, New York, pp 329–341

  32. Ward TL (1989) Fuzzy discounted cash flow analysis. In: Evans GW, Wilhelm MR, Karwowski W, eds. Applications of fuzzy set methodologies in industrial engineering. Elsevier, Amsterdam, pp 91–102

  33. Buckley JJ (1987) The fuzzy mathematics of finance. Fuzzy Sets Syst 21:257–273

    Article  MATH  MathSciNet  Google Scholar 

  34. Porter ME (1980) Competitive strategy. Free Press, New York

  35. Hayes RH, Wheelwright SC (1984) Restoring our competitive edge: competing through manufacturing. Wiley, New York

    Google Scholar 

  36. Kaufmann A, Gupta MM (1988) Fuzzy mathematical model in engineering and management science. Elsevier, Amsterdam

  37. Sohal AS, Schroder R, Uliana EO, Maguire W (2001) Adoption of AMT by South African manufacturers. Integr Manuf Syst 12(1):15–34

    Article  Google Scholar 

  38. Orr S (2002) A comparison of AMT strategies in the USA, South Africa and Germany. Int J Manuf Technol Manage 4(6):441–454

    Article  Google Scholar 

  39. Saleh B, Hacker M, Randhawa S (2001) Factors in capital decisions involving advanced manufacturing technologies. Int J Oper Prod Manage 21(10):1265–1288

    Article  Google Scholar 

  40. Verter V, Dasci A (2002) The plant location and flexible technology acquisition problem. Eur J Oper Res 136(2):366–382

    Article  MATH  MathSciNet  Google Scholar 

  41. Bokhorst JAC, Slomp J, Suresh NC (2002) An integrated model for part-operation allocation and investments in CNC technology. Int Prod Econ, 75(3):267–285

    Google Scholar 

  42. MacDougall SL, Pike RH (2003) Consider your options: changes to strategic value during implementation of advanced manufacturing technology. Omega 31(1):1–15

    Article  Google Scholar 

  43. Yusuff RM, Yee KP, Hashmi MSJ (2001) A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation. Robot Comput Integr Manuf 17(5):421–427

    Article  Google Scholar 

  44. Mohanty RP, Deshmukh SG (1998) Advanced manufacturing technology selection: a strategic model for learning and evaluation. Int J Prod Econ 55(3):295–307

    Article  Google Scholar 

  45. Talluri S, Whiteside MM, Seipel SJ (2000) A nonparametric stochastic procedure for FMS evaluation. Eur J Oper Res 124(3):529–538

    Article  MATH  Google Scholar 

  46. Talluri S, Yoon KP (2000) A cone-ratio DEA approach for AMT justification. Int J Prod Econ 66(2):119–129

    Article  Google Scholar 

  47. Punniyamoorthy M, Ragavan PV (2003) A strategic decision model for the justification of technology selection. Int J Adv Manuf Technol 21(1):72–78

    Article  Google Scholar 

  48. Chiadamrong N, O’Brien C (1999) Decision support tool for justifying alternative manufacturing and production control systems. Int J Prod Econ 60–61:177–186

    Google Scholar 

  49. Karsak EE (2002) Distance-based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives. Int J Prod Res 40(13):3167–3181

    Article  MATH  Google Scholar 

  50. Busby JS, Pitts CGC (1997) Real options in practice: an exploratory survey of how finance officers deal with flexibility in capital appraisal. Manage Account Res 8:169–186

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Pokfulam Road, Hong Kong

    F.T.S. Chan, H.K. Chan & M.H. Chan

  2. School of Business Organisation and Management, University of Ulster, Northern Ireland, BT37 OQB, UK

    P.K. Humphreys

Authors
  1. F.T.S. Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H.K. Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M.H. Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. P.K. Humphreys
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to F.T.S. Chan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chan, F., Chan, H., Chan, M. et al. An integrated fuzzy approach for the selection of manufacturing technologies. Int J Adv Manuf Technol 27, 747–758 (2006). https://doi.org/10.1007/s00170-004-2246-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-004-2246-9

Keywords

Search

Navigation