ITR: Multiattribute Negotiation for Dynamic Supply Chains
ITR: Multiattribute Negotiation for Dynamic Supply Chains
批准号:
0205435
负责人:
Michael Wellman
金额:
$151.1万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-01 至 2008-07-31
中文摘要
当今全球经济的特点是市场需求不断变化,产品生命周期短,以及细粒度的定制。这种背景要求有能力识别有前景的供应链合作伙伴,并根据动态条件调整现有关系。一个主要障碍是影响供应链决策的多种考虑因素。例如,材料供应合同可能指定价格、数量、交货时间和方式、质量、保修和许多其他功能。今天的大多数拍卖系统支持一维谈判,其中价格和数量是动态确定的唯一特征。该项目旨在支持动态、多级供应链中许多属性的协商。为此,它将开发灵活的语言来表达多属性报价,支持迭代和一次性谈判的通用双边匹配机制,以及基于生产状态汇总评估的实时决策支持。新技术将使用基于代理的供应链模拟试验台和分析模型进行验证。由此产生的方法将使公司能够例行公事地形成并调整供应链关系,以适应广泛的生产活动。动态响应不断变化的条件的系统能力最终可以降低成本,同时通过增加定制和对新机会的响应来提供更大的价值。
英文摘要
Today's global economy is characterized by changing market demands, short product lifecycles, and fine-grained customization. This context demands a capability to identify promising supply chain partners and adapt existing relationships in response to dynamic conditions. One major impediment is the multiplicity of considerations that bear on supply chain decisions. For example, a material supply contract might specify price, quantity, delivery time and mode, quality, warranty, and many other features. Most of today's auction systems support one-dimensional negotiations where price and quantity are the only features determined dynamically. This project aims to support negotiation over many attributes in dynamic, multilevel supply chains. To this end, it will develop flexible languages for expressing multiattribute offers, general two-sided matching mechanisms supporting both iterative and one-shot negotiation, and real-time decision support based on summarized assessments of production states. The new techniques will be validated using an agent-based supply chain simulation testbed, as well as analytical models. The resulting methods will enable a future where companies routinely form and adapt supply chain relationships for a broad range of productive activities. The systemic ability to respond dynamically to changing conditions can ultimately lower costs, while delivering greater value through increased customization and responsiveness to novel opportunities.
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