Computationally Manageable Combinational Auctions
Management Science
Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
Winner determination in combinatorial auction generalizations
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Solving Combinatorial Auctions Using Stochastic Local Search
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Solving concisely expressed combinatorial auction problems
Eighteenth national conference on Artificial intelligence
BOB: improved winner determination in combinatorial auctions and generalizations
Artificial Intelligence
A Combinatorial Auction with Multiple Winners for Universal Service
Management Science
Combinatorial Auctions: A Survey
INFORMS Journal on Computing
Information-theoretic approaches to branching in search
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Issues in computational Vickrey auctions
International Journal of Electronic Commerce - Special issue: Intelligent agents for electronic commerce
A New and Improved Design for Multiobject Iterative Auctions
Management Science
Eliciting bid taker non-price preferences in (combinatorial) auctions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Combinatorial auctions with structured item graphs
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Bidding languages for combinatorial auctions
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Practical secrecy-preserving, verifiably correct and trustworthy auctions
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Online algorithms for market clearing
Journal of the ACM (JACM)
Limited verification of identities to induce false-name-proofness
TARK '07 Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
Practical secrecy-preserving, verifiably correct and trustworthy auctions
Electronic Commerce Research and Applications
Solving multiple scenarios in a combinatorial auction
Computers and Operations Research
Expressive commerce and its application to sourcing
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Improving efficiency in multiple-unit combinatorial auctions: Bundling bids from multiple bidders
Decision Support Systems
An interactive approach for multi-attribute auctions
Decision Support Systems
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Procter & Gamble put into practice CombineNets approach to building sourcing networks, called expressive competition. At its heart is a vision that looks past lowest-price reverse auctions and combinatorial package bidding toward a highly expressive commerce relationship with suppliers. It enables suppliers to make electronic offers that express rich forms of capabilities and efficiencies. As the buyer, P&G also uses an expressive language to state constraints and preferences. The detailed expressions of supply and demand are brought together via an advanced optimization engine to decide the optimal allocation of business to the suppliers. By March 2005, over a period of two and a half years, P&G had sourced over 3 billion through expressive commerce and seen 294.8 million (9.6 percent) in recommended savings. In the process, P&Gs suppliers benefited from the win-win approach: expressive competition matched demand to the most efficient means of production (rather than squeezing suppliers profit margins) and removed the exposure risks in making offers. Beyond direct monetary savings, the benefits included the redesign of supply networks with quantitative understanding of the trade-offs and the ability to implement in weeks instead of months.