Intelligent agent for supporting construction procurement negotiation

Ren-Jye Dzeng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Negotiation is commonly required in the procurement of construction materials for general contractors. However, people often reach suboptimal agreements, thereby "leaving money on the table". As E-commerce is becoming popular, an automated system that could evaluate bids, conduct negotiation to finalize the bid, and value the characteristics of negotiating parties would be useful to both contractor and suppliers. This paper presents an agent-based system that allows negotiating parties to define their preferences of negotiable issues and options, and suggests the most beneficial agreement using the genetic algorithm. Experiments were also conducted to evaluate the system's performance on effectiveness and efficiency.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
EditorsM.H. Hamza
Pages730-735
Number of pages6
StatePublished - 1 Dec 2004
EventProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics - Innsbruck, Austria
Duration: 16 Feb 200418 Feb 2004

Publication series

NameProceedings of the IASTED International Conference. Applied Informatics

Conference

ConferenceProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
CountryAustria
CityInnsbruck
Period16/02/0418/02/04

Keywords

  • E-commerce applications
  • Expert systems
  • Genetic algorithm
  • Intelligent agents
  • Procurement negotiation

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  • Cite this

    Dzeng, R-J. (2004). Intelligent agent for supporting construction procurement negotiation. In M. H. Hamza (Ed.), Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics) (pp. 730-735). [411-028] (Proceedings of the IASTED International Conference. Applied Informatics).