Scalable Enterprise Systems: Supply Chain Optimization and Protocol Environment (Scope) - A Modeling Environment for Extended Enterprises

本研究通过开发供应链优化和协议环境（SCOPE）来解决该领域对决策支持工具的需求，该环境模拟了涉及多个独立目标寻求实体的供应链行为。实体将由捕获关键决策变量和技术约束的优化模型表示，同时保留足够的特殊结构以允许有效的解决方案。实体之间的交互将通过协议来描述，这些协议规定了实体之间传递的商品、货币和信息，实体做出决策的顺序，每个实体如何处理信息以做出决策，以及实体如何应对不可预见的事件。该方法结合了计算可跟踪性和可伸缩性，以及随着时间的推移探索不同供应链配置行为的能力。它还将允许研究人员代表供应链中实体之间的一系列不同的互动模式。像SCOPE这样的工具的成功开发将允许供应链设计的快速原型，而研究人员将有一个测试平台来评估理论推导的结果在不同的操作模式下的推广程度，这些模式会使一些原始假设变得紧张，并且可以对过于复杂而无法分析处理的供应链协作形式进行实验。

This research addresses the need for decision support tools in this area by developing a Supply Chain Optimization and Protocol Environment (SCOPE) which emulates the behavior of supply chains involving multiple, independent, goal-seeking entities over time. Entities will be represented by optimization models that capture the key decision variables and technological constraints, while retaining enough special structure to allow efficient solution. Interactions among entities will be described through protocols that specify what goods, money and information pass among entities, in what order entities make decisions, how information isprocessed by each entity to make its decisions, and how entities respond to unforeseen events. The approach combines computational tractability and scalability with the ability to explore the behavior of different supply chain configurations over time. It will also allows the researchers to represent a range of different modes of interaction among entities in the supply chain.Successful development of a tool like SCOPE would permit rapid prototyping of supply chain designs, while researchers would have a test bed for assessing how well theoretically-derived results generalize to different modes of operation that strain some of the original assumptions, and for experimenting with forms of supply chain collaboration too complex for treatment analytically.