Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Reconfigurable Facility Layout Design for Job-Shop Assembly Operations

  • Chapter
  • First Online:
Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Abstract

Highly turbulent environment of dynamic job-shop operations affects shop-floor layout as well as manufacturing operations. Due to the dynamic nature of layout changes, essential requirements such as adaptability and responsiveness to the changes need to be considered in addition to the cost issues of material handling and machine relocation when reconfiguring a shop floor’s layout. Here, based on the source of uncertainty, the shop-floor layout problem is split into two sub-problems and dealt with by two modules: re-layout and find-route. Genetic algorithm is used where changes cause the entire shop re-layout, while function blocks are utilised to find the best sequence of robots for the new conditions within the existing layout. This chapter reports the latest development to the authors’ previous work.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Raman, D., Nagaliangam, S. V., & Lin, G. C. I. (2009). Towards measuring the effectiveness of a facilities layout. Robotics Computer-Integrated Manufacturing, 25, 191–203.

    Article  Google Scholar 

  2. Webster, D. B., & Tyberghein, M. B. (1980). Measuring flexibility of job-shop layouts. International Journal of Production Research, 18(1), 21–29.

    Article  Google Scholar 

  3. Kulturel-Konak, S. (2007). Approaches to uncertainties in facility layout problems: perspective at the beginning of 21st century. Journal of Intelligent Manufacturing, 18, 237–284.

    Article  Google Scholar 

  4. Benjafar, S., Heragu, S. S., & Irani, S. A. (2002). Next generation facility layout: research challenges and recent progress. Interfaces, 32(6), 58–76.

    Article  Google Scholar 

  5. Meng, G., Heragu, S. S., & Zijm, H. (2004). Reconfigurable layout problem. International Journal of Production Research, 42(22), 4709–4729.

    Article  MATH  Google Scholar 

  6. Irani, S.A., & Huang, H. (1998). Layout modules: a novel extension of hybrid cellular layout. Proceedings of 1998 ASME International Engineering Congress and Exposition, Anaheim, CA, November 15–20

    Google Scholar 

  7. Parveen, P., Chowdary, B. V., Deshmukh, S. G., & Prasant, P. (2009). A new approach for formation of virtual cells. International Journal of Manufacturing Research, 4(2), 171–188.

    Article  Google Scholar 

  8. Drira, A., Pierreval, H., & Hajri-Gabouj, S. (2007). Facility layout problems: a survey. Annual Review in Control, 31, 255–267.

    Google Scholar 

  9. Rosenblatt, M. J. (1986). The dynamics of plant layout. Management Science, 32(1), 76–85.

    Article  MATH  Google Scholar 

  10. Urban, T. L. (1993). A heuristics for the dynamic facility layout problem. IIE Transactions, 24(4), 57–62.

    Article  Google Scholar 

  11. El-Baz, M. A. (2004). A genetic algorithm for facility layout problems of different manufacturing environment. Computers and Industrial Engineering, 47, 233–246.

    Article  Google Scholar 

  12. Jain, P., & Sharma, P.K. (2005). Solving job shop layout problem using ant colony optimization technique. Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 288–292

    Google Scholar 

  13. Defersha, F., & Chen, M. (2009). A simulated annealing algorithm for dynamic system reconfiguration and production planning in cellular manufacturing. International Journal of Manufacturing Technology and Management, 17(1–2), 103–124.

    Article  Google Scholar 

  14. Qin, Y.F., & Zhao, M.Y. (2004). Research on optimization method for hybrid assembly line design. Proceedings of the 8th International Conference on Control, Automation, Robotics and Vision, pp. 509–514

    Google Scholar 

  15. Wang, L., Keshavarzmanesh, S., & Feng, H.-Y. (2008). Design of adaptive function blocks for dynamic assembly planning and control. Journal of Manufacturing Systems, 27(1), 45–51.

    Article  Google Scholar 

  16. Wang, M. J., Michael, H. H., & Meei, Y. K. (2004). A solution to unequal area facilities layout problem by genetic algorithm. Computers in Industry, 56, 207–220.

    Google Scholar 

  17. Talbi, El-Ghazali. (2009). Metaheuristics, from design to implementation. USA: Wiley.

    MATH  Google Scholar 

  18. Islier, A. A. (1998). A genetic algorithm approach for multiple criteria facility layout design. International Journal of Production Research, 36(6), 1549–1569.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Virtual Systems Research Centre, University of Skövde, 541 28, Skövde, Sweden

    Lihui Wang

  2. Department of Mechanical and Materials Engineering, The University of Western Ontario, London, ON, N6A 5B9, Canada

    Shadi Keshavarzmanesh

  3. Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

    Hsi-Yung Feng

Authors
  1. Lihui Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shadi Keshavarzmanesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hsi-Yung Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lihui Wang .

Editor information

Editors and Affiliations

  1. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Lihui Wang

  2. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Amos H. C. Ng

  3. , Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, 208016, Uttar Pradesh, India

    Kalyanmoy Deb

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag London Limited

About this chapter

Cite this chapter

Wang, L., Keshavarzmanesh, S., Feng, HY. (2011). Reconfigurable Facility Layout Design for Job-Shop Assembly Operations. In: Wang, L., Ng, A., Deb, K. (eds) Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-0-85729-652-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-652-8_13

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-617-7

  • Online ISBN: 978-0-85729-652-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation