Dynamic Configuration and Highly-Distributed Orchestration of Supply Webs

该补助金为理论方法，计算机集成系统和组织流程的调查提供资金，以支持制造业中基于互联网的供应网络的形成和管理。 将开发供应网络交互的参考架构以及工作公告和供应商能力的表示模型。 该研究将调查指标，决策策略和逻辑快速有效的投标建设，投标评估和供应商选择。 表示模型和决策算法和协议，在供应网络的水平，以及车间水平将进行研究。 一个高度分布式的计算测试平台将被实现，用于车间和供应网络交互的建模、仿真和分析。 概念验证计算机辅助决策系统将通过整合本研究中开发的理论方法与互联网技术来实现。 这项研究将与工业界密切合作进行。 将研究目前供应网互动的组织结构和业务流程，并将开发更适合动态供应网互动和虚拟企业的新组织结构和业务流程。 如果成功的话，本研究的结果将导致一个更好的理解高效和有效的表示模型描述客户的工作要求和供应商的能力，通过互联网在各种制造领域。 这将支持正在进行的表述数据模型标准化工作。 本研究所建立的分析模型与计算实验平台，将有助于预测不同决策策略下的供应网络与车间绩效。 这项研究将提供一个了解如何无缝集成决策在两个层次的系统抽象，使用最新的车间状态信息，以支持决策在供应网络的水平。 本研究所开发的概念验证决策系统，将有助于向产业界展示研究成果，促进技术转移。 我们与行业的合作将提供有关组织结构和业务流程需要如何重新设计的见解，以实现互联网辅助的供应网络互动的全部好处。

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.