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A Heuristic Approach to Proposal-Based Negotiation: with Applications in Fashion Supply Chain Management

机译：基于提议的谈判的启发式方法：在时尚供应链管理中的应用

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摘要

In this paper, we extend and improve the formal, executable framework for automated multi-issue negotiation between two autonomous competitive software agents proposed by Cadoli. This model is based on the view of negotiation spaces (or "areas"), representing the admissible values of the goods involved in the process as convex regions. However, in order to speed up the negotiation process and guarantee convergence, there was the restriction of potential agreements to vertices included in the intersection of the two areas. We present and assess experimentally an extension to Cadoli's approach where, for both participating agents, interaction is no longer vertex based, or at least not necessarily so. This eliminates the asymmetry among parties and the limitation to polyhedral negotiation areas. The extension can be usefully integrated to Cadoli's framework, thus obtaining an enhanced algorithm that can be effective in many practical cases. We present and discuss a number of experiments, aimed at assessing how parameters influence the performance of the algorithm and how they relate to each other. We discuss the usefulness of the approach in relevant application fields, such as, for instance, supply chain management in the fashion industry, which is a field of growing importance in economy and e-commerce.
机译：在本文中，我们扩展和改进了Cadoli提出的两个自主竞争软件代理之间的自动多问题协商的形式化，可执行框架。该模型基于协商空间（或“区域”）的视图，将过程中涉及的商品的可允许值表示为凸区域。但是，为了加快协商过程并确保融合，将潜在协议限制在两个区域的交点中包含的顶点上。我们提出并通过实验评估了Cadoli方法的扩展，其中对于两个参与方而言，交互不再基于顶点，或者至少不一定基于顶点。这消除了当事方之间的不对称性以及对多面谈判区域的限制。该扩展可以有效地集成到Cadoli的框架中，从而获得一种可以在许多实际情况下有效的增强算法。我们提出并讨论了许多实验，旨在评估参数如何影响算法的性能以及它们之间的相互关系。我们讨论了该方法在相关应用领域中的有用性，例如时装行业的供应链管理，这在经济和电子商务领域中正变得越来越重要。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第3期|896312.1-896312.15|共15页
  • 作者

    Stefania Costantini; Giovanni De Gasperis; Alessandro Provetti; Panagiota Tsintza;

  • 作者单位

    Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, 67100 LAquila, Italy;

    Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, 67100 LAquila, Italy;

    Department of Mathematics and Informatics, University of Messina, 98166 Messina, Italy,Oxford-Man Institute of Quantitative Finance, University of Oxford, Oxford OX2 6ED, UK;

    Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, 67100 LAquila, Italy;

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