Development of methodological framework for effective deployment and operational optimization of flexibly automated production and service systems

开发有效部署和运营优化灵活自动化生产和服务系统的方法框架

• 批准号: 1405156
• 负责人: Spiridon Reveliotis
• 金额: $ 33.31万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-15 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1405156&HistoricalAwards=false
• 关键词: Development; methodological; framework; effective; deployment

Development of a methodological framework for the effective deployment and the operational optimization of flexibly automated production and service systemsThe quest for an ever increasing level of automation is a prevailing trend in many sectors of the modern economy, ranging from the contemporary production systems and their supporting material handling systems, to the various intelligent transportation systems that are currently employed or contemplated for the future transport needs, to the internet-based workflow management systems that have been proposed for the mechanization of various routine operations taking place in service sectors like banking, insurance claiming, and the backend transactions of contemporary logistics systems. However, the existing theory for supporting the deployment and the real-time management of such automated operations in the aforementioned application contexts is challenged by the operational complexity and the large-scale nature of these applications. Hence, the proposed research program seeks to develop a novel methodological framework that will address the currently perceived needs with respect to the aforementioned task. More specifically, the successful implementation of the proposed program will enable a more streamlined and a more robust deployment of the sought automating capability and it will help in materializing the operational flexibility and efficiency that have been contemplated for the corresponding environments. From a methodological standpoint, the proposed research program will abstract the aforementioned operations as a class of resource allocation systems (RAS) that must be controlled for operational safety, behavioral correctness / logical consistency, and eventually performance. More specifically, the proposed research program will leverage the existing theory of RAS supervisory control developed by the PI and his collaborators, and it will complement this theory with the necessary performance-oriented control / scheduling theory that will lead to the complete development of a real-time control framework for the considered RAS. The proposed developments will also be based on an effective integration of qualitative and quantitative DES theory in the context of the existing RAS, and they will further provide pertinent approximating schemes that can support an effective and systematic trade off between the operational efficiency of the derived control policies and their computational tractability. In fact, it should be noticed that the pursued methodology for the aforementioned integration of DES qualitative and quantitative control in the context of the considered application is a substantial contribution to the field of DES theory itself, since, historically, and in an effort to effectively manage the underlying analytical complexities, these two major DES areas have evolved on parallel tracks. Also, when viewed from the standpoint of scheduling theory, the proposed research program seeks to develop effective and efficient scheduling policies for what can be perceived as stochastic networks with blocking, a topic that has not been extensively investigated by the current scheduling theory due to the involved complexity. On the other hand, it is expected that the aforementioned grounding of the proposed research on qualitative and quantitative DES analysis and the effective integration of these two areas, will provide the necessary analytical and computational tools for the effective management of this complexity.

开发一种方法论框架，用于有效部署和灵活自动化的生产和服务系统的运营优化，寻求不断提高的自动化水平是现代经济的许多领域的普遍趋势，当代生产系统及其范围从当代生产系统及其支持的物质处理系统到目前的各种智能运输系统，到实现了互联网的各种智能运输系统，到达了互联网，以实现互联网，以实现互联网的运输，并将常规操作在服务领域进行，例如银行，保险索赔和当代物流系统的后端交易。但是，在上述应用程序上下文中支持这种自动化操作的部署和实时管理的现有理论受到这些应用程序的操作复杂性和大规模性质的挑战。因此，拟议的研究计划旨在开发一个新颖的方法学框架，该框架将针对上述任务解决当前所感知的需求。更具体地说，拟议程序的成功实施将使所寻求的自动化功能更简化，更强大的部署，并将有助于实现对相应环境的操作灵活性和效率的实现。从方法论的角度来看，拟议的研究计划将把上述操作抽象为一类资源分配系统（RAS），必须控制以进行操作安全性，行为正确性 /逻辑一致性以及最终的性能。更具体地说，拟议的研究计划将利用PI及其合作者开发的RAS监管控制的现有理论，它将通过必要的面向性能的控制 /调度理论来补充该理论，该理论将导致为所考虑的RAS的实时控制框架的完整开发。拟议的发展还将基于在现有RAS的背景下有效地整合定性和定量理论，它们将进一步提供相关的近似方案，这些方案可以支持派生的控制政策的运营效率之间的有效和系统性交易及其计算障碍。实际上，应该注意的是，在经过考虑的应用背景下，在定性和定量控制的上述整合的追求方法是对DES理论本身的实质性贡献，因为历史上，并且从历史上看，这两个主要的DES领域在平行的轨道上已经演变为基本的分析复杂性。同样，从调度理论的角度来看，拟议的研究计划旨在制定有效，有效的调度策略，以将其视为具有阻塞的随机网络，这一主题尚未受到当前的调度理论，这是由于涉及复杂性而被当前的调度理论进行的。另一方面，预计拟议的定性和定量DES分析的研究的基础以及这两个领域的有效整合将提供必要的分析和计算工具，以有效地管理这种复杂性。