Skip to main content
SpringerLink
Log in

Base Reference Analytical Hierarchy Process for Engineering Process Selection

  • Conference paper
Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

Recent developments in material and manufacturing technology have brought many exciting changes in the field of engineering. Engineers can benefit from wider selection of materials and processing techniques. The Analytical Hierarchy Process (AHP) is a multi attribute decision method (MADM) that utilizes structured pairwise comparisons. This method has been used widely in industry to aid selection process. The drawback of AHP is that the exhaustive pairwise comparison is tiresome and time consuming when there are many alternatives to be considered. In this paper, we propose a new approach to improve this limitation of AHP, the so-called Base Reference Analytical Hierarchy Process (BR-AHP). This study is accompanied by a case study to show the application of BR-AHP in engineering process selection.

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 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Akash, B.A., Mamlook, R., Mohsen, M.S.: Multi-criteria selection of electric power plants using analytical hierarchy process. Electric Power Systems Research 52, 29–35 (1999)

    Article  Google Scholar 

  2. Golden, B.L., Wasil, E.A., Harker, P.T. (eds.): The Analytic Hierarchy Process - Applications and Studies. Springer, Heidelberg (1989)

    Google Scholar 

  3. Gouin, S.: Microencapsulation - industrial appraisal of existing technologies and trends. Trends in Food Science & Technology 15, 330–347 (2004)

    Article  Google Scholar 

  4. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  5. Scott, M.J.: Quantifying Certainty in Design Decisions - Examining AHP.In: Proceeding of DETC 2002 ASME Design Engineering Technical Conferences (2002)

    Google Scholar 

  6. Triantaphyllou, E.: Reduction of Pairwise Comparisons in Decision Making via Duality Approach. Journal of Multi-Criteria Decision Analysis 8, 299–310 (1999)

    Article  MATH  Google Scholar 

  7. Yurdakul, M.: AHP as a strategic decision-making tool to justify machine tool selection. Journal of Materials Processing Technology 146, 365–376 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Knowledge-based Systems Group, Department of Computer Science, University of Paderborn, 33098, Paderborn, Germany

    Elina Hotman

Authors
  1. Elina Hotman
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hotman, E. (2005). Base Reference Analytical Hierarchy Process for Engineering Process Selection. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_27

Download citation

  • DOI: https://doi.org/10.1007/11552413_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation