Development of a machine tool selection system using AHP

  • Emrah Çimren
  • Bülent ÇatayEmail author
  • Erhan Budak
Original article


The selection of appropriate machines is one of the most critical decisions in the design and development of an efficient production environment. In this study, we propose a decision support system for machine tool selection using an effective algorithm, the analytic hierarchy process. In the selection process, we first consider qualitative decision criteria that are related to the machine properties. Reliability and precision analyses may be included in the detailed evaluation procedure. Furthermore, the decision-maker may take into account the economical considerations through cost analysis. In addition, the robustness of the selection procedure may be evaluated using sensitivity analysis. An illustrative example of machine tool selection using the proposed methodology and the software implementation are provided.


Analytic hierarchy process AHP Machine tool selection Decision support systems 


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  1. 1.
    Arslan MC, Çatay B, Budak E (2004) A decision support system for machine tool selection. J Manuf Technol Manage 15(1):101–109 ISSN 1741–038XCrossRefGoogle Scholar
  2. 2.
    Atmani A, Lashkari RS (1998) A model of machine-tool selection and operation allocation in flexible manufacturing system. Int J Prod Res 36(5):1339–1349CrossRefGoogle Scholar
  3. 3.
    Belton V, Gear T (1983) On a short-coming of Saaty’s method of analytic hierarchies. Omega 11(3):228–230Google Scholar
  4. 4.
    Cheng E, Li H, Ho D (2002) Analytic hierarchy process (AHP). Meas Bus Excell 6:33–38CrossRefGoogle Scholar
  5. 5.
    Haddock J, Hartshorn TA (1989) A decision support system for specific machine selection. Comput Ind Eng 16(2):277–286CrossRefGoogle Scholar
  6. 6.
    Lin, Z-C, Yang C-B (1994) Evaluation of machine selection by the AHP method. J Mater Process Technol 57:253–258CrossRefGoogle Scholar
  7. 7.
    Moon C, Lee M, Seo Y, Lee YH (2002) Integrated machine tool selection and operation sequencing with capacity and precedence constraints using genetic algorithm. Comput Ind Eng 43(3):605–621CrossRefGoogle Scholar
  8. 8.
    Oeltjenbruns H, Kolarik WJ, Schnadt-Kirschner R (1995) Strategic planning in manufacturing systems—AHP application to an equipment replacement decision. Int J Prod Econ 38:189–197CrossRefGoogle Scholar
  9. 9.
    Saaty TL, Vargas LG (2001) Models, methods, concepts & applications of the analytic hierarchy process. Kluwer Academic Publishers, DordrechtGoogle Scholar
  10. 10.
    Sullivan W, Bontadelli J, Wicks E (2000) Engineering economy. Prentice Hall, LondonGoogle Scholar
  11. 11.
    Tabucanon MT, Batanov DN, Verma DK (1994) Intelligent decision support system (DSS) for the selection process of alternative machines for flexible manufacturing systems (FMS). Comput Ind 25:131–143CrossRefGoogle Scholar
  12. 12.
    Triantaphyllou E (2000) Multi-criteria decision making methods: a comparative study. Kluwer Academic Publishers, DordrechtGoogle Scholar
  13. 13.
    Wang T-Y, Shaw C-F, Chen Y-L (2000) Machine selection in flexible manufacturing cell: a fuzzy multiple attribute decision-making approach. Int J Prod Res 38(9):2079–2097CrossRefGoogle Scholar
  14. 14.
    Yurdakul M (2004) AHP as a strategic decision-making tool to justify machine tool selection. J Mater Process Technol 146:365–376CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2006

Authors and Affiliations

  1. 1.Industrial and Systems EngineeringThe Ohio State UniversityColumbusUSA
  2. 2.Faculty of Engineering and Natural SciencesSabanci University, TuzlaIstanbulTurkey

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