Computationally Manageable Combinatorial Auctions for Supply Chain Automation

Andrea Giovannucci Affiliation: Consejo Superior de Investigaciones Científicas. Institut d'Investigació en Intel-ligencia Artificial (Bellaterra, España) Biography: Not available Close window

Andrea Giovannucci About the authors  Publication year: 2008 Language: English Subjects: Science and Technology Collection: Monografies de l'Institut d'Investigació en Intel-ligencia Artificial Free eBook

Abstract:

The need for automating the process of supply chain formation is motivated by the advent of Internet technologies supporting B2B and B2C negotiations: the speed at which market requirements change has dramatically increased. In this scenario enterprises must become flexible in the process of product customisation and order fulfilment. This can be only achieved if the supply chain formation process is agile, and thus the need for automation. The main goal of this dissertation is to provide computationally efficient marketbased auction mechanisms for automating the process of optimal supply chain partner selection. This is achieved by means of two progressive, non-trivial extensions of combinatorial auctions (CA).

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