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

该项目解决以灵活、反应迅速和可靠的方式运行企业系统的问题，以捕捉市场可能提供的经济潜力，同时尽量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，可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。大规模问题将得到解决，计划是研究供应优化，库存控制和动态的整合，以实现成本最优绩效，同时降低库存水平，有效应对供应，订单和交货时间的干扰。具体目标是开发一个新的多层次规划框架，在分散控制的供应链背景下集成优化、库存控制和动态。此外，研究了一种新的方法来模拟整个供应链的动态和控制。为了实施，该计划是开发一个基于互联网的系统原型，该系统将允许供应链中各方之间的有效合作。该研究的主要预期收益是创建一个科学基础，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。关于提出的优化、库存控制和动态的集成，主要的好处将是作为分散系统运行的供应链中的协调决策，它更接近地反映了这些系统的真实行为。最后，研究应该提供一个可伸缩的企业解决方案，这是软件公司迫切需要的，因为它们正在争先恐后地满足需求，而且公司在没有连贯的计划或理解的情况下投资于自动化系统。

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.