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Negotiation Policies for E-Procurement by Multi Agent Systems

Negotiation Policies for E-Procurement by Multi Agent Systems

Paolo Renna
Copyright: © 2010 |Pages: 26
ISBN13: 9781615206056|ISBN10: 1615206051|ISBN13 Softcover: 9781616922726|EISBN13: 9781615206063
DOI: 10.4018/978-1-61520-605-6.ch009
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MLA

Renna, Paolo. "Negotiation Policies for E-Procurement by Multi Agent Systems." Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain, edited by Barin Nag, IGI Global, 2010, pp. 164-189. https://doi.org/10.4018/978-1-61520-605-6.ch009

APA

Renna, P. (2010). Negotiation Policies for E-Procurement by Multi Agent Systems. In B. Nag (Ed.), Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain (pp. 164-189). IGI Global. https://doi.org/10.4018/978-1-61520-605-6.ch009

Chicago

Renna, Paolo. "Negotiation Policies for E-Procurement by Multi Agent Systems." In Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain, edited by Barin Nag, 164-189. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-605-6.ch009

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Abstract

The development of Information and Communication Technologies (ICT) allowed the enterprises to adopt an e-marketplace approach to Business to Business (B2B) applications. In particular, these kind of applications are demonstrating their capacity to provide real added value to manufacturing industries by allowing their global performance to increase. The implementation of the e-marketplace by firms is not considered an easy job because of the lack of automation: the human participation is still in all stages of the B2B process. The chapter proposes a three value added services: workflow design, Multi Agent System and negotiation approach. In particular, two negotiation, an auction and single round approaches with three customer behaviors are proposed. A simulation environment is developed in order to test the proposed approaches. The simulations have been conducted in several scenarios in order to highlight what is the best approach to perform.

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