Scalable Supply Chain Infrastructures: Models and Analysis

这项研究解决了与充分实现供应链基础设施(SCI)潜力相关的一些挑战，其中包括用于支持企业需求规划(ERP)和供应链管理(SCM)的软件系统。将建造一个软件试验台，最初将包括一个SCM组件、一个企业资源规划组件和一个中间件组件。这项研究将使用运筹学、计算机科学和经验信息系统的技术。基于整数规划的资源分配模型将被开发并嵌入到模拟中。该模拟将与两项关于组织决策的实证研究相结合，以探索SCI与组织结构之间的关系。将继续研究在类似网络的情况下开发有效的查询处理机制，目的是改进大型组织中有效执行SCI的工作。企业资源规划和供应链管理系统正在世界各地实现显著的部署水平。在这里进行的研究旨在提高这些系统的效率及其在提高组织绩效方面的有效性。预计将在以下领域作出实际贡献：提高对信息技术如何影响各组织以及各组织应如何适应以利用新的SCI技术的理解；开发决策模型，既解释各组织应如何作出供应链决策，又为供应链决策支持提供新技术；有效实施可扩展的基于网络的应用程序的新方法。

This research addresses a number of challenges related to the full realization of the potential of supply chain infrastructures(SCIs), which include those software systems used to support enterprise requirements planning (ERP) and supply chain management (SCM). A software testbed, which initially will include an SCM component, an ERP component and a middleware component, will be constructed. The research will employ techniques from operations research, computer science and empirical information systems. Integer programming based resource allocation models will be developed and embedded within a simulation. The simulation will be used in conjunction with two empirical studies of organizational decision making to explore the relationships between SCIs and organization structure. Research on the development of mechanisms for effective query processing in web-like settings will be pursued with the goal of improving efficient SCI implementation in large organizations. ERP and SCM systems are achieving significant levels of deployment throughout the world. The research undertaken here is aimed at improving the efficiency ofthese systems and their effectiveness in enhancing organizational performance. Practical contributions are anticipated in the following areas: improvements in the understandingof how information technology impacts organizations and the how organizations should adapt to take advantage of new SCI technology; the development of decision models that both explain how supply chain decision making should take place in organizations and provide new techniques for supply chain decision support; new methods for efficiently implementing scalable web-based applications.