Scalable Enterprise Systems: Discrete Event System Specification (DEVS) as a Formal Modeling Framework for Scaleable Enterprise Design - Case Study: Model-Driven Data Management

本研究将探讨企业系统的主要责任的理论基础，以确保有关企业的正确信息在正确的时间提供给决策者。 互联网和电子商务正在迅速创造一种环境，在这种环境中，企业可以被有效地比作有机体，它必须利用其环境的相关特征来快速做出生/死决定，即使是相关的也是不断变化的。 该项目的主要重点是制定一种方法，将决策者（大脑）与动态相关数据源（内部和外部环境）连接起来，以支持时间紧迫的决策。 在这个框架内，研究将研究模型驱动的数据采集，过滤和注意力机制，以实现灵活的传感器到决策者connections.Enterprise资源规划（ERP）系统的应用是一个响应的实现，制造控制系统不能孤立于其他主要的企业功能。 企业资源规划系统的目标还应包括主要功能模块的标准化，以尽量减少定制，提高可重复使用性。 这项研究的最终结果将是一个可扩展的企业系统开发的框架，不限制继续发展的框架，将一个纯粹的软件代码为基础的方法。 基于数学形式主义，开发的模块将不受任何一种技术的约束，而是随着它们的发展而适合于过渡到可扩展的网络基础设施。为目标驱动的数据交付开发一个基于模型的框架，最终可以指导灵活的公司企业系统中可伸缩数据管理以及其他标准化模块的设计。

This research will investigate a theoretical foundation for a major responsibility of enterprise systems to ensure that the right information about the enterprise is available to decision makers at the right time. The Internet and e-commerce are rapidly creating an environment in which businesses can be usefully likened to organisms which must tap into the relevant features of their environments to make rapid life/death decisions-where even what is relevant is continually in flux. The primary focus of this project is to formulate an approach to incorporating flexibility in connecting decision-makers (brain) to dynamically relevant data sources (internal and external environment) to support time-critical decisions. Within this framework, the research will study the application of model-driven data acquisition, filtering and attention mechanisms to achieve flexible sensor-to-decision maker connectivity.Enterprise resource planning (ERP) systems are a response to the realization that manufacturing control systems cannot function in isolation from other major enterprise functions. The objectives of ERP systems should also include standardization of principal functional modules to minimize customization and enhance reusability. The ultimate result of this research would be a framework for scalable enterprise system development that does not constrain the continued development of the framework as would a pure software code-based approach. Based on a mathematical formalism, the modules developed would not be bound to any one technology but would be amenable to transition to scalable network infrastructures as they evolve. The development of a model-based framework for goal-driven data delivery could ultimately guide the design of scalable data management as well as other standardized modules in flexible corporate enterprise systems.