Skip to main content
SpringerLink
Log in

A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

Selecting process of a machine tool has been very important issue for companies for years, because the improper selection of a machine tool might cause of many problems affecting negatively on productivity, precision, flexibility and company’s responsive manufacturing capabilities. On the other hand, selecting the best machine tool from its increasing number of existing alternatives in market are multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore, in this paper, an analytic hierarchy process (AHP) is used for machine tool selection problem due to the fact that it has been widely used in evaluating various kinds of MCDM problems in both academic researches and practices. However, due to the vagueness and uncertainty on judgments of the decision-maker(s), the crisp pair wise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). That is why; fuzzy number logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP. Shortly, in this study, an intelligent approach is proposed, where both techniques; fuzzy logic and AHP are come together, referred to as fuzzy AHP. First, the fuzzy AHP technique is used to weight the alternatives under multiple attributes; second Benefit/Cost (B/C) ratio analysis is carried out by using both the fuzzy AHP score and procurement cost, of each alternative. The alternative with highest B/C ratio is found out and called as the ultimate machine tool among others. In addition, a case study is also presented to make this approach more understandable for a decision-maker(s).

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

  • A. Atmani R.S. Lashkari (1998) ArticleTitleA model of machine-tool selection and operation allocation in flexible manufacturing systems International Journal of Production Research 36 1339–1349

    Google Scholar 

  • Z. Ayag (2002) ArticleTitleAn analytic-hierarchy-process based simulation model for implementation and analysis of computer-aided systems International Journal of Production Research 40 3053–3073 Occurrence Handle10.1080/00207540210140059

    Article  Google Scholar 

  • Z. Ayag (2005a) ArticleTitleAn integrated approach to evaluating conceptual design alternatives in a new product development environment International Journal of Production Research 43 687–713 Occurrence Handle10.1080/00207540512331311831

    Article  Google Scholar 

  • Z. Ayag (2005b) ArticleTitleA fuzzy AHP-based simulation approach to concept evaluation in a NPD environment IIE Transactions 37 827–842

    Google Scholar 

  • C.G.E. Boender J.G. Grann ParticleDe F.A. Lootsma (1989) ArticleTitleMulticriteria decison analysis with fuzzy pairwise comparison Fuzzy Sets and Systems 29 133–143 Occurrence Handle10.1016/0165-0114(89)90187-5

    Article  Google Scholar 

  • C.H. Bozdag C. Kahraman D. Ruan (2003) ArticleTitleFuzzy group decision making for selection among computer integrated manufacturing systems Computers in Industry 51 13–29 Occurrence Handle10.1016/S0166-3615(03)00029-0

    Article  Google Scholar 

  • J.J. Buckley (1985) ArticleTitleFuzzy hierarhical analysis Fuzzy Sets and Systems 17 233–247 Occurrence Handle10.1016/0165-0114(85)90090-9

    Article  Google Scholar 

  • G. Buyukozkan C. Kahraman D. Ruan (2004) ArticleTitleA fuzzy multi-criteria decision approach for software development strategy selection International Journal of General Systems 33 259–280

    Google Scholar 

  • D.Y. Chang (1996) ArticleTitleApplications of extent analysis method on fuzzy AHP European Journal of Operational Research 95 649–655 Occurrence Handle10.1016/0377-2217(95)00300-2

    Article  Google Scholar 

  • C.H. Cheng D.L. Mon (1994) ArticleTitleEvaluating weapon system by analytic hierarchy process based on fuzzy scales Fuzzy Sets and Systems 63 1–10 Occurrence Handle10.1016/0165-0114(94)90140-6

    Article  Google Scholar 

  • C.H. Cheng (1996) ArticleTitleEvaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function European Journal of Operational Research 96 343–350

    Google Scholar 

  • Gerrard W. (1988a). Selection procedures adopted by industry for introducing new machine tools. Advances in Manufacturing Technology III. Proceedings of 4th National Conference on Production Research, 525–531

  • Gerrard, W. (1988b). A strategy for selecting and introducing new technology/machine tools. Advances in Manufacturing Technology III. Proceedings of 4th National Conference on Production Research, 532–536

  • C.H. Goh Y.C.A. Tung C.H. Cheng (1995) ArticleTitleA revised weighted sum decision model for robot selection Computers and Industrial Engineering 30 193–199

    Google Scholar 

  • C. Kahraman U. Cebeci Z. Ulukan (2003) ArticleTitleMulti-criteria supplier selection using fuzzy AHP Logistics Information Management 16 382–394 Occurrence Handle10.1108/09576050310503367

    Article  Google Scholar 

  • C. Kahraman U. Cebeci D. Ruan (2004) ArticleTitleMulti-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey International Journal of Production Economics 87 171–184 Occurrence Handle10.1016/S0925-5273(03)00099-9

    Article  Google Scholar 

  • A. Kaufmann M. M. Gupta (1985) Introduction to fuzzy arithmetic: theory and applications Van Nostrand Reinhold New York

    Google Scholar 

  • A. Kengpol C. O’Brien (2001) ArticleTitleThe development of a decision support tool for the selection of advanced technology to achieve rapid product development International Journal of Production Economics 69 177–191 Occurrence Handle10.1016/S0925-5273(00)00016-5

    Article  Google Scholar 

  • G.J. Klir B. Yuan (1995) Fuzzy sets and fuzzy logic: theory and applications Prentice-Hall Englewood Cliffs, NJ

    Google Scholar 

  • R.J. Kuo S.C. Chi S.S. Kao (2002) ArticleTitleA decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network Computers in Industry 47 199–214 Occurrence Handle10.1016/S0166-3615(01)00147-6

    Article  Google Scholar 

  • C.K. Kwong H. Bai (2002) ArticleTitleA fuzzy approach to the determination of important weights of customer requirements in quality function deployment Journal of Intelligent Manufacturing 13 367–377 Occurrence Handle10.1023/A:1019984626631

    Article  Google Scholar 

  • Lee, A. R. (1999). Application of modified fuzzy AHP method to analyze bolting sequence of structural joints. UMI Dissertation Services, A Bell & Howell Company

  • W.B. Lee H. Lau Z.Z. Liu S. Tam (2001) ArticleTitleA fuzzy analytic hierarchy process approach in modular product design Expert Systems 18 32–42 Occurrence Handle10.1111/1468-0394.00153

    Article  Google Scholar 

  • Z. C. Lin C. B. Yang (1994) ArticleTitleEvaluation of machine selection by the AHP method Journal of Materials Processing Technology 57 253–258

    Google Scholar 

  • F. A. Lootsma (1997) Fuzzy logic for planning and decision making Kluwer Academic Publisher Dordrecht

    Google Scholar 

  • S. Marsh J. V. Moran S. Nakui G. Hoffherr (1991) Facilitating and training in quality function deployment GOAL/QPC Methuen, MA

    Google Scholar 

  • M. B. Murtaza (2003) ArticleTitleFuzzy-AHP application to country risk assessment American Business Review 21 109–116

    Google Scholar 

  • C. V. Negoita (1985) Expert systems and fuzzy systems The Benjamin/Cummings Menlo Park California

    Google Scholar 

  • Piippo, P., Torkkeli, M., & Tuominen, M. (1999). Use of GDSS for selection of technology: new integrated CAD-system for an entire company, International Conference on the Management of Engineering and Technology (PICMET’99), Portland, USA, 25–29 July, p. 13

  • T. L. Saaty (1981) The Analytic Hierarchy Process McGraw-Hill New York

    Google Scholar 

  • T. L. Saaty (1989) ArticleTitleDecision Making, Scaling, and number crunching Decision Science 20 404–409

    Google Scholar 

  • M. T. Tabucanon D. N. Batanov D. K. Verma (1994) ArticleTitleIntelligent support system (DSS) for the selection process of alternative machines for flexible manufacturing systems Computers in Industry 25 131–134 Occurrence Handle10.1016/0166-3615(94)90044-2

    Article  Google Scholar 

  • P.J.M. Laarhoven ParticleVan Pedrycz (1983) ArticleTitleA fuzzy extension of Saaty’s priority theory Fuzzy Sets and Systems 11 229–241

    Google Scholar 

  • T. Y. Wang C. F. Shaw Y. L. Chen (2000) ArticleTitleMachine selection in flexible manufacturing cell: A fuzzy multiple attribute decision making approach International Journal of Production Research 38 2079–2097

    Google Scholar 

  • M. Weck F. Klocke H. Schell E. Ruenauver (1997) ArticleTitleEvaluating alternative production cycles using the extended fuzzy AHP method European Journal of Operational Research 100 351–366 Occurrence Handle10.1016/S0377-2217(96)00295-0

    Article  Google Scholar 

  • L. A. Zadeh (1994) ArticleTitleFuzzy Logic, neural network, and soft computing Communications of the ACM 37 77–84 Occurrence Handle10.1145/175247.175255

    Article  Google Scholar 

  • F. Zahedi (1986) ArticleTitleThe analytic hierarchy process: A survey of the method and its application Interfaces 16 96–108

    Google Scholar 

  • H. J. Zimmermann (1996) Fuzzy set theory and its applications Kluwer Massachusetts

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, Department of Industrial Engineering, Kadir Has University, Cibali Merkez Campus, 34230, Cibali, Istanbul, Turkey

    Zeki Ayağ

  2. Faculty of Engineering and Architecture, Department of Industrial Engineering, Istanbul Kültür University, Atakoy Campus, D-100 Yanyol, 34156, Bakirkoy, Istanbul, Turkey

    R. G. Özdemir

Authors
  1. Zeki Ayağ
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. G. Özdemir
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zeki Ayağ.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ayağ, Z., Özdemir, R.G. A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives. J Intell Manuf 17, 179–190 (2006). https://doi.org/10.1007/s10845-005-6635-1

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-005-6635-1

Keywords

Search

Navigation