Skip to main content
SpringerLink
Log in

A model for selecting suitable dispatching rule in FMS based on fuzzy multi attribute group decision making

  • Production Management
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

Flexible manufacturing systems (FMSs) have received increasing attention in recent decades as they conduct manufacturing in most productive and effective way, but productive output of such a system is closely related to internal and external criteria. FMS scheduling is the most affected area by these criteria, therefore, selecting appropriate and suitable scheduling types or dispatching rules, with respect to system criteria, is a crucial decision point for decision makers. According to the literature, many papers and researches have published to handle this problem in different methods such as mathematical programming, simulation, heuristic, and other similar techniques, but utilization of most of these methods is generally time-consuming, complex with some problems while performing, especially at a condition that a system requires decision making by a group of experts with a range of varied criteria. According to these issues, in this paper, fuzzy multi attribute decision making approach is used to develop a combined fuzzy analytical hierarchical process and fuzzy technique for order of preference by similarity to ideal solution group decision making model. This model is developed in three main stages and 13 steps and considers a group of decision makers’ evaluations to select the most suitable dispatching rule among a set of alternatives, with respect to real time criteria. Applying this model is simple, fast and considers all decision criteria and prevents system tardiness and idle time.

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

Fig. 1

Similar content being viewed by others

References

  1. Chan FTS, Chan HK, Kazerooni A (2002) A fuzzy multi-criteria decision-making technique for evaluation of scheduling rules. Int J Adv Manuf Technol 20(2):103–113

    Article  Google Scholar 

  2. Chan FT, Chan HK (2004) A comprehensive survey and future trend of simulation study on FMS scheduling. J Intell Manuf 15(1):87–102

    Article  Google Scholar 

  3. Gupta YP, Evans GW, Gupta MC (1991) A review of multi-criterion approaches to FMS scheduling problems. Int J Prod Econ 22(1):13–31

    Article  MATH  Google Scholar 

  4. Reddy K, Xie N, Subramaniam V (2004) Dynamic scheduling of flexible manufacturing systems. http://dspace.mit.edu/handle/1721.1/3903

  5. Low C, Yip Y, Wu TH (2006) Modelling and heuristics of FMS scheduling with multiple objectives. Comput Oper Res 33(3):674–694

    Article  MATH  Google Scholar 

  6. Ishii N, Talavage JJ (1994) A mixed dispatching rule approach in FMS scheduling. Int J Flex Manuf Syst 6(1):69–87

    Article  Google Scholar 

  7. Yazgan HR (2011) Selection of dispatching rules with fuzzy ANP approach. Int J Adv Manuf Technol 52(5–8):651–667

    Article  Google Scholar 

  8. Sadi-Nezhad S, Didehkhani H, Seyedhosseini SM (2008) Developing a fuzzy ANP model for selecting the suitable dispatching rule for scheduling a FMS. In: IEEE international conference on industrial engineering and engineering management, 2008. IEEM 2008, pp 405–409

  9. Kumar AS, Veeranna V, Durga BP, Dattatraya BS (2010) Optimization of FMS scheduling using non-traditional techniques. Int J Eng Sci Technol 2:7289–7296

    Google Scholar 

  10. Subramaniam V, Ramesh T, Lee GK, Wong YS, Hong GS (2000) Job shop scheduling with dynamic fuzzy selection of dispatching rules. Int J Adv Manuf Technol 16(10):759–764

    Article  Google Scholar 

  11. Lee KK (2008) Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment. Appl Soft Comput 8(4):1295–1304

    Article  Google Scholar 

  12. Shih HM, Sekiguchi T (1999) Fuzzy inference-based multiple criteria FMS scheduling. Int J Prod Res 37(10):2315–2333

    Article  MATH  Google Scholar 

  13. Domingos JC, Politano PR (2003) On-line scheduling for flexible manufacturing systems based on fuzzy logic. In: IEEE international conference on systems, man and cybernetics, 2003, vol 5, pp 4928–4933

  14. Chan FT, Chan HK, Kazerooni A (2003) Real time fuzzy scheduling rules in FMS. J Intell Manuf 14(3–4):341–350

    Article  Google Scholar 

  15. Smith ML, Ramesh R, Dudek RA, Blair EL (1986) Characteristics of US flexible manufacturing systems-a survey. In: Proceedings of the second ORSA/TIMS conference on flexible manufacturing systems. Butterworth/Heinmann, pp 477–486

  16. Petroni A, Rizzi A (2002) A fuzzy logic based methodology to rank shop floor dispatching rules. Int J Prod Econ 76(1):99–108

    Article  Google Scholar 

  17. Ravi T, Lashkari RS, Dutta SP (1991) Selection of scheduling rules in FMSs: a simulation approach. Int J Adv Manuf Technol 6(3):246–262

    Article  Google Scholar 

  18. Blackstone JH, Phillips DT, Hogg GL (1982) A state-of-the-art survey of dispatching rules for manufacturing job shop operations. Int J Prod Res 20(1):27–45

    Article  Google Scholar 

  19. Moser M, Engell S (1992) A survey of priority rules for FMS scheduling and their performance for the benchmark problem. In: Proceedings of the 31st IEEE conference on decision and control, pp 392–397

  20. Montazeri M, Van Wassenhove LN (1990) Analysis of scheduling rules for an FMS. Int J Prod Res 28(4):785–802

    Article  Google Scholar 

  21. Tzeng GH, Huang JJ (2011) Multiple attribute decision making: methods and applications. CRC Press, Boca Raton

    Google Scholar 

  22. Kahraman C (2008) Fuzzy multi-criteria decision making: theory and applications with recent developments, vol 16. Springer, Berlin

    Google Scholar 

  23. Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169(1):1–29

    Article  MATH  MathSciNet  Google Scholar 

  24. Sun CC (2010) A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst Appl 37(12):7745–7754

    Article  Google Scholar 

  25. Yang CC, Chen BS (2004) Key quality performance evaluation using fuzzy AHP. J Chin Inst Ind Eng 21(6):543–550 Chicago

    Google Scholar 

  26. Chen SJJ, Hwang CL, Beckmann MJ, Krelle W (1992) Fuzzy multiple attribute decision making: methods and applications. Springer, New York

    Book  MATH  Google Scholar 

  27. Davies MA (1994) A multi criteria decision model application for managing group decisions. J Oper Res Soc, pp 47–58

  28. Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17(3):233–247

    Article  MATH  Google Scholar 

  29. Saaty TL (2000) Fundamentals of decision making and priority theory with the analytic hierarchy process, vol 6. Rws Publications, Pittsburgh

    Google Scholar 

  30. Van Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst 11(1):199–227

    Article  Google Scholar 

  31. Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications, a state of the art survey. Springer, New York

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Industrial Engineering, Islamic Azad University, South Tehran Branch, P.O.Box:1151863411, Tehran, Iran

    Mohammad Ali Kashfi & Mehrdad Javadi

Authors
  1. Mohammad Ali Kashfi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mehrdad Javadi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad Ali Kashfi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kashfi, M.A., Javadi, M. A model for selecting suitable dispatching rule in FMS based on fuzzy multi attribute group decision making. Prod. Eng. Res. Devel. 9, 237–246 (2015). https://doi.org/10.1007/s11740-015-0603-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-015-0603-1

Keywords

Search

Navigation