Scalable Enterprise Systems: Integration of Optimization, Inventory Control and Dynamic Models for the Management of Large-Scale Supply Chains

该项目解决了以灵活、响应迅速和可靠的方式运行企业系统的问题，以抓住市场可能提供的经济潜力，同时最大限度地减少市场波动的影响。为了实现这些目标，将开发系统控制和优化工具，用于评估供应链系统对波动的反应能力，以及控制系统以提高其响应能力。 大规模的问题将得到解决，该计划是研究供应优化，库存控制和动态的集成，以实现成本最优性能，同时降低库存水平，并有效地应对供应，订单和交货时间的干扰。 具体的目标是开发一个新的框架，多层次的规划，集成优化，库存控制和动态的背景下，分散控制的供应链。 此外，研究一种新的方法来模拟整个供应链的动态和控制。 为了执行，计划开发一个基于互联网的系统原型，使供应链中的各方能够进行有效合作。 这项研究的一个主要预期好处是建立一个科学基础，为利用新信息技术的企业系统开发决策支持工具提供框架和指导。关于建议的优化，库存控制和动态的集成，主要的好处将是协调决策的供应链，作为一个分散的系统，这更密切地反映了这些系统的真实世界的行为。最后，这项研究应该提供一个可扩展的企业解决方案，这是迫切需要的，因为软件公司正在争先恐后地满足需求，公司正在投资于自动化系统，而没有一个连贯的计划或理解。

This project addresses the problem of running enterprise systems in a flexible, responsive, and reliable manner to capture the economical potential that the market might offer, while minimizing the impact of fluctuations in the market. To achieve these goals, systematic control and optimization tools will be developed that can be used to assess the ability of supply chain systems to react to fluctuations, as well as to control the system to improve its responsiveness. Large scale problems will be addressed, the plan is to investigate the integration of supply optimization, inventory control and dynamics to achieve cost optimal performance, while reducing inventory levels and coping effectively with disturbances in supplies, orders and delivery times. The specific objective objectives are to develop a novel framework for multi-level planning that integrates optimization, inventory control and dynamics in the context of a supply chain with decentralized control. Moreover, to investigate a novel approach to model the dynamics and control of the entire supply chain. For the implementation, the plan is to develop a prototype of an internet-based system that will allow the effective collaboration among the various parties in the supply chain. A major expected benefit of the research is the creation of a science base that provides a framework and guidance for developing decision support tools for enterprise systems that leverage the new information technologies. Regarding the proposed integration of optimization, inventory control and dynamics, the major benefit will be the coordinated decision making in the supply chain that operates as a decentralized system, which reflects more closely the real-world behavior of these systems. Finally, the research should provide a scalable enterprise solution, which is urgently needed as software companies are scrambling to meet the demand, and companies are investing in automated systems without a coherent plan or understanding.