Skip to main content

A Knowledge-Based Layout Selection Methodology for Flexible Assembly Lines

  • Conference paper
Proceedings of the 33rd International MATADOR Conference
  • 623 Accesses

Abstract

In this paper a knowledge-based methodology is presented for the selection of an appropriate layout for a Flexible Assembly Line. The selection is made from straight-line, U-shaped, zigzag and odd-angled line layouts, based on the overall dimensions of available space and the dimensions of each individual workstation on the line. The information is analysed systematically in a knowledge-based approach which considers the strategic and technical factors in order to reach a consistent decision. A straight-line layout solution is considered first, followed by the simultaneous consideration of U-shaped and zigzag line layouts. Finally the odd-angled line layout is considered. The end result is advice on the best line layout to utilise the available space and to justify the line layout requirements for the system under consideration economically. The methodology is developed in AM which is a rule-based Expert System Shell operating under Microsoft Windows.

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. Khan, A. and Khan, M. K., 1997a, A Knowledge-Based Planning System for the Multi Product Assembly Line. Proceeding of the 32nd International MATADOR Conference, 201–206.

    Google Scholar 

  2. Khan, A. and Khan, M. K., 1997b, A Knowledge-Based Selection System for the Multi-Product Assembly Line. The 4th International Conference on Computer Integrated Manufacturing, Singapore.

    Google Scholar 

  3. Khan, A. and Khan, M. K., 1998, A Knowledge Based Balancing for a Mixed-Product Assembly Line. Pacific Congress on Manufacturing Management, Australia.

    Google Scholar 

  4. Apple, J. M., 1977, Plant Layout and Material Handling, 3rd Edition. John Wiley & Sons New York.

    Google Scholar 

  5. Jackson, J. R., 1956, A Computing Procedure for a Line Balancing Problem. Management Science, Vol.2, No.3, 261–271.

    Article  Google Scholar 

  6. Bhattacharyya, S. K., Roy, R. and Low, M. J., 1993, A Computer Simulation System for the Evaluation of Man Assignments on Car Assembly Tracks. Technical Article, Simulation, Vol.61, No.2, 124–133.

    Article  Google Scholar 

  7. Ruehl, G. and Ing, 1974, Work Structuring, Part II. Industrial Engineering, Vol.6, February, 52–56.

    Google Scholar 

  8. Besant, C. B. and Lui, C. W. K., 1986, Computer-Added Design and Manufacture, John Wiley & Sons New York.

    Google Scholar 

  9. AM for Windows, 1995, Reference Guide, Version 8.2. Intelligent Environment.

    Google Scholar 

  10. Khan, A., 1998, A Knowledge-Based System for the Design and Analysis of Assembly Lines. Ph.D. Thesis, University of Bradford.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag London Limited

About this paper

Cite this paper

Khan, A., Day, A.J. (2000). A Knowledge-Based Layout Selection Methodology for Flexible Assembly Lines. In: Hayhurst, D.R., et al. Proceedings of the 33rd International MATADOR Conference. Springer, London. https://doi.org/10.1007/978-1-4471-0777-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0777-4_14

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1200-6

  • Online ISBN: 978-1-4471-0777-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics