Technical Reports


Click here for full text: PDF

Efficiently Generating k-Best Solutions to Procurement Auctions

Byde, Andrew; Kelly, Terence; Zhou, Yunhong; Tarjan, Robert
HP Laboratories


Keyword(s): procurement, auctions, decision support, combinatorial optimization, knapsack problems, k-shortest paths

Abstract: Procurement executives often find it difficult to articulate their preferences and constraints regarding auctions, making it difficult to cast procurement decisions as straightforward optimization problems. This paper presents an efficient algorithm to aid decision support in such situations. Instead of trying to compute a single optimal solution for the auction winner determination problem, we generate many candidate solutions in ascending order of buyer expenditure. Standard techniques such as clustering and dominance pruning can then trim this list to a compact yet diverse menu of alternatives; other analyses can illuminate the cost of constraints and the competitive landscape. Our efficient solution- generation algorithm addresses sealed-bid procurement auctions with multiple suppliers and multiple types of goods available in multiple units. It supports multi- sourcing and volume discounts/surcharges in bids. Our algorithm may optionally incorporate certain classes of hard constraints, generating only solutions that satisfy them.

17 Pages

Additional Publication Information: Presented at AAIM 2009, San Francisco, June 15, 2009

External Posting Date: July 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: July 21, 2009 [Fulltext]

Back to Index