Dynamic Configuration and Highly-Distributed Orchestration of Supply Webs

这项拨款为理论方法、计算机集成系统和组织过程的研究提供资金，以支持制造业中基于互联网的供应网的形成和管理。将开发供应网络交互的参考体系结构以及工作公告和供应商能力的表示模型。该研究将调查快速有效的投标建设、投标评估和供应商选择的度量、决策策略和逻辑。表示模型和决策算法和协议在供应网络水平以及车间水平将被研究。一个高度分布式的计算试验台将用于车间和供应网络交互的建模、仿真和分析。通过将本研究中开发的理论方法与互联网技术相结合，将实现概念验证计算机辅助决策系统。这项研究将与工业界密切合作进行。将研究当前供应网络交互的组织结构和业务流程，并开发更适合动态供应网络交互和虚拟企业的新组织结构和业务流程。如果成功，本研究的结果将导致对通过互联网在各种制造领域描述客户工作需求和供应商能力的高效和有效表示模型的更好理解。这将支持正在进行的表示数据模型标准化工作。本研究所建立的分析模型和计算实验平台，将有助于预测不同决策策略下的供应网和车间绩效。该研究将提供如何通过使用最新的车间状态信息来支持供应网络级别的决策，从而无缝地集成两个系统抽象级别的决策的理解。本研究开发的概念验证决策系统将有助于向工业界展示研究成果和促进技术转让。我们与工业界的合作将提供有关如何重新设计组织结构和业务流程以实现internet辅助的供应网络交互的全部好处的见解。

This grant provides funding for the investigation of theoretical methods, computer-integrated systems, and organizational processes to support Internet-based formation and management of supply-webs in the manufacturing industry. Reference architectures for supply-web interactions and representation models for job announcements and supplier capabilities will be developed. The research will investigate metrics, decision strategies and logic for rapid and effective bid construction, bid evaluation, and supplier selection. Representation models and decision-making algorithms and protocols at both the supply-web level as well as the shopfloor level will be studied. A highly-distributed computational testbed will be implemented for modeling, simulation, and analysis of shopfloor and supply-web interactions. Proof-of-concept computer-aided decision-systems will be implemented by integrating the theoretical methods developed in this research with Internet technologies. This research will be conducted in close collaboration with industry. Current organizational structures and business processes for supply-web interaction will be studied, and new ones that are better suited to dynamic supply-web interactions and virtual enterprises will be developed. If successful, the results of this research will lead to an improved understanding about efficient and effective representation models for describing customer job requirements and supplier capabilities via the Internet in a variety of manufacturing domains. This will support ongoing efforts on standardization of representation data models. The analytical models and computational experimental testbed to be developed in this research will help predict supply-web and shopfloor performance under various decision strategies. The research will provide an understanding of how to seamlessly integrate decisions at both levels of system abstraction by using up-to-date shopfloor status information to support decision-making at the supply-web level. The proof-of-concept decision-systems to be developed in this research will be useful to demonstrate the research results to industry and to promote technology transfer. Our collaborative efforts with industry will provide insights regarding how organizational structures and business processes need to be reengineered in order to achieve the full benefits of Internet-aided supply-web interactions.