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

可扩展企业系统：离散事件系统规范 (DEVS) 作为可扩展企业设计的正式建模框架 - 案例研究：模型驱动的数据管理

• 批准号: 0075557
• 负责人: Bernard Zeigler
• 金额: $ 9.99万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0075557&HistoricalAwards=false
• 关键词: Scalable; Enterprise; Systems; Discrete; Event

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.

本研究将探讨企业系统主要责任的理论基础，以确保决策者在正确的时间获得有关企业的正确信息。互联网和电子商务正在迅速创造一种环境，在这种环境中，企业可以被比作有机体，必须利用环境的相关特征来快速做出生死决定——在这种环境中，即使是相关的东西也在不断变化。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）的灵活性结合起来，以支持时间紧迫的决策。在此框架下，本研究将研究模型驱动的数据采集、过滤和注意机制的应用，以实现灵活的传感器到决策者的连接。企业资源计划（ERP）系统是对制造控制系统不能与其他主要企业功能隔离的认识的响应。ERP系统的目标还应包括主要功能模块的标准化，以尽量减少定制和提高可重用性。这项研究的最终结果将是一个用于可伸缩企业系统开发的框架，它不会像纯基于软件代码的方法那样限制框架的继续开发。基于数学形式，开发的模块不会绑定到任何一种技术，而是随着它们的发展可以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基于模型的框架，最终可以指导灵活的公司企业系统中可扩展数据管理以及其他标准化模块的设计。