Bayesian optimal knapsack procurement

Bayesian optimal knapsack procurement

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Article ID: iaor201527186
Volume: 234
Issue: 3
Start Page Number: 774
End Page Number: 779
Publication Date: May 2014
Journal: European Journal of Operational Research
Authors: ,
Keywords: Bayesian analysis, knapsack problem, procurement
Abstract:

A budget‐constrained buyer wants to purchase items from a shortlisted set. Items are differentiated by observable quality and sellers have private reserve prices for their items. The buyer’s problem is to select a subset of maximal quality. Money does not enter the buyer’s objective function, but only his constraints. Sellers quote prices strategically, inducing a knapsack game. We report the Bayesian optimal mechanism for the buyer’s problem. We find that simultaneous take‐it‐or‐leave‐it offers are interim optimal.

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