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Agent-based decision support for actual-world procurement scenarios

机译:基于代理的实际采购方案的决策支持

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Multi-item, multi-unit negotiations in industrial procurement pose serious challenges to buying agents when trying to determine the best set of providing agents' offers. Typically, a buying agent's decision involves a large variety of constraints that may involve attributes of separate items as well as attributes of different, multiple items. In this paper we present Ibundler, an agent-based service offered to buying agents to help them determine the optimal bundle of received offers based on their constraints and preferences. In this way, buying agents are relieved with the burden of solving too hard a problem (the problem can be proved to be NP) and concentrate on strategic issues. IBundler is intended as a negotiation service for buying agents and as a winner determination service for reverse combinatorial auctions with side constraints. To the best of our knowledge this is the first agent service for such type of complex negotiation scenarios.
机译:在试图确定最佳提供代理商的优惠时,工业采购中的多项目,在工业采购中的多单位谈判对购买代理商来说是严重的挑战。通常,购买代理的决定涉及各种各样的约束,这可能涉及单独的项目属性以及不同的多项的属性。在本文中,我们介绍了一个基于代理的代理商,提供给购买代理商,以帮助他们确定基于其约束和偏好的最佳捆绑包。通过这种方式,购买代理人被解除解决了问题的负担(问题可以证明是NP)并专注于战略问题。 IBundler旨在作为购买代理商的谈判服务,并作为具有副限制的逆转组合拍卖的胜利确定服务。据我们所知,这是第一个用于此类复杂协商方案的代理服务。

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