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A model for subcontractor selection in refurbishment projects

Author

Listed:
  • M. I. Okoroh
  • V. B. Torrance

Abstract

A model is presented for analysing the subcontractor's risk elements in construction refurbishment projects. The system is based on the use of fuzzy set theory with the fuzzy set representing the overall weighted average rating of refurbishment contractors criterion for the selection of subcontractors. A prototype knowledge based expert system is described, which provides a systematic and objective approach to the selection of subcontractors. Knowledge elicitation methodology using the 'repertory grid' technique is detailed. The implementation of a subcontractor selection and appointment Model for refurbishment contractors (SSARC) in linguistic terms allows the user to interact with the system in a very friendly manner using natural language expressions.

Suggested Citation

  • M. I. Okoroh & V. B. Torrance, 1999. "A model for subcontractor selection in refurbishment projects," Construction Management and Economics, Taylor & Francis Journals, vol. 17(3), pages 315-327.
    • Handle: RePEc:taf:conmgt:v:17:y:1999:i:3:p:315-327
    DOI: 10.1080/014461999371529
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    Cited by:

    1. Li, Mei & Yang, Jay, 2014. "Critical factors for waste management in office building retrofit projects in Australia," Resources, Conservation & Recycling, Elsevier, vol. 93(C), pages 85-98.
    2. Shobha Ramalingam, 2020. "Subcontractor Selection Process Through Vendor Bids: A Case of An Outsourcing Service in Construction," IIM Kozhikode Society & Management Review, , vol. 9(2), pages 129-142, July.

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