Skip to main content

A New Fuzzy Flexible Flow-Shop Algorithm for Continuous Fuzzy Domain

  • Conference paper
Multiple Approaches to Intelligent Systems (IEA/AIE 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1611))

  • 905 Accesses

Abstract

In simple flow shop problems, each machine operation center includes just one machine. If at least one machine center includes more than one machine, the scheduling problem becomes a flexible flow-shop problem. In this paper, we apply triangular fuzzy membership functions to represent uncertainty in processing times for flexible flow shops with two machine centers, and then propose a fuzzy heuristic algorithm for scheduling their jobs. We first use triangular fuzzy LPT algorithm to allocate jobs, and then use triangular fuzzy Johnson algorithm to deal with sequencing the tasks. The proposed method thus provides a more flexible way of scheduling jobs than conventional scheduling methods.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Buckley, J.J.: The multiple judge, multiple criteria ranking problem: A fuzzy set approach. Fuzzy Sets and Systems 13, 25–37 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  2. Buckley, J.J.: Ranking alternatives using fuzzy numbers. Fuzzy Sets and Systems 15, 21–31 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  3. Buckley, J.J., Chanas, S.: A fast method of ranking alternative using fuzzy numbers. Fuzzy Sets and Systems 30, 337–338 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  4. Campos Ibanez, L.M., Gonzalez Munoz, A.: A subjective approach for ranking fuzzy numbers. Fuzzy Sets and Systems 29, 145–153 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  5. Chung, S.C., Liao, D.Y.: Scheduling flexible flow shops with no setup effects. In: The 1992 IEEE International Conference on Robotics and Automation, pp. 1179–1184 (1992)

    Google Scholar 

  6. Delgado, M., Verdegay, J.L., Vila, M.A.: A procedure for ranking fuzzy numbers using fuzzy relations. Fuzzy Sets and Systems 26, 49–62 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hong, T.P., Chuang, T.N.: A new triangular fuzzy Johnson algorithm. International Journal of Computers & Industrial Engineering (accepted and to appear)

    Google Scholar 

  8. Hong, T.P., Chen, W.C.: Fuzzy flexible-flow shops at two machine centers. Journal of Advanced Computational Intelligence 2(4), 142–149 (1998)

    MathSciNet  Google Scholar 

  9. Morton, T.E., Pentico, D.W.: Heuristic Scheduling Systems with Applications to Production Systems and Project Management. John Wiley & Sons Inc., New York (1993)

    Google Scholar 

  10. Munoz, G.: A study of the ranking function approach through mean values. Fuzzy Sets and Systems 35, 29–41 (1990)

    Article  MathSciNet  Google Scholar 

  11. Sriskandarajah, C., Sethi, S.P.: Scheduling algorithms for flexible flow shops: worst and average case performance. European Journal of Operational Research 43, 143–160 (1989)

    Google Scholar 

  12. Yager, R.R.: A procedure for ordering fuzzy subsets of the unit interval. Inform Sci. 24, 143–161 (1981)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hong, TP., Wang, TT. (1999). A New Fuzzy Flexible Flow-Shop Algorithm for Continuous Fuzzy Domain. In: Imam, I., Kodratoff, Y., El-Dessouki, A., Ali, M. (eds) Multiple Approaches to Intelligent Systems. IEA/AIE 1999. Lecture Notes in Computer Science(), vol 1611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48765-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-48765-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66076-7

  • Online ISBN: 978-3-540-48765-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics