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An Inverse-Optimization-Based Auction Mechanism to Support a Multi-Attribute Rfq Process (Classic Reprint) - Brossura

 
9781332266241: An Inverse-Optimization-Based Auction Mechanism to Support a Multi-Attribute Rfq Process (Classic Reprint)

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Excerpt from An Inverse-Optimization-Based Auction Mechanism to Support a Multi-Attribute Rfq Process

To engage bidders in a multi - attribute auction, an auctioneer needs to provide the bidders with some information pertaining to how he values the non-price attributes. While several rather obtuse approaches are possible the auctioneer could provide shadow prices from a mathematical program without revealing the mathematical program), the predominant approach in hpo practice and the one favored by most bidders because of its straightforward nature is for the auctioneer to announce a scoring rule in terms of the bid price and various attributes. This scoring rule may, or may not, be identical to the auctioneer's true utility function; indeed, this is the crux of the strategic problem from the auctioneer's viewpoint.

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Lawrence M. Wein
Editore: Forgotten Books, 2018
ISBN 10: 133226624X ISBN 13: 9781332266241
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781332266241

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Lawrence M. Wein
Editore: Forgotten Books, 2018
ISBN 10: 133226624X ISBN 13: 9781332266241
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LW-9781332266241

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Lawrence M. Wein
Editore: Forgotten Books, 2018
ISBN 10: 133226624X ISBN 13: 9781332266241
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Paperback. Condizione: New. Print on Demand. This book presents a revolutionary auction mechanism that allows manufacturers to optimize their utility in multi-attribute RFQ processes. The mechanism employs inverse optimization to learn suppliers' cost functions, enabling the manufacturer to strategically manipulate the scoring rules and induce competition. The author provides a detailed analysis of the mechanism, including its theoretical underpinnings and practical considerations. The book also explores the broader implications of this approach, discussing how it can be applied to other types of auctions and settings of learning in games. The author argues that this inverse optimization-based approach has the potential to revolutionize the way procurement auctions are conducted, leading to significant cost savings and more effective competition. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781332266241_0

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