An integrated approach in modeling, optimization, and simulation of non-conventional manufacturing systems

今天的生产经理必须以越来越快的速度实现性能改进，以实现“更好、更快、更便宜和更清洁”的目标。“全球化、日益多样化和复杂的客户市场、技术变革的快速步伐、自然资源的稀缺以及严格的环境控制都导致了动荡的商业环境。今天，如果一个制造商满足于现状，它是在与灭绝调情。技术，以设备和信息系统的形式，一直是提高效率和改进的途径。然而，一个同样重要-在某些情况下更重要-的竞争力途径是我们组织和管理生产系统的方式。有一个新兴的共识，即现有的布局配置不满足多产品企业的需求，需要新一代的工厂布局，更灵活，模块化，易于重新配置。拟议的研究将提供深入的undersigning到非传统制造系统的快速建模和仿真，以回答有关的问题：产品组合和体积的变化;搬迁，增加和删除的机床;物料搬运系统的重新配置;操作员分配，轮班调度和能力调整;和产品批量大小和调度。本研究的主要贡献在于：（1）设计和优化非传统制造系统（如单元制造系统、分形制造系统和可重构制造系统）的模型、算法和计算机化工具;（2）为这些非传统制造系统的设计标准定制制造系统性能指标;（3）可重构制造系统监控算法的自动综合与生成方法：（4）可重构制造系统仿真模型生成器，用于对可重构制造系统中的若干重构决策进行循环评估。

Today's production manager must deliver performance improvements at an increasing pace in order to meet the objectives of "better, faster, cheaper and cleaner." Globalization, increasingly diverse and sophisticated customer markets, the rapid pace of technological change, scarcity of natural resources, and stringent environmental controls have all contributed to a turbulent business environment. Today, if a manufacturer is satisfied with the status quo, it is flirting with extinction. Technology, in the form of equipment and information systems, has always been a route to higher efficiency and improvement. However, an equally important - and in some cases more important - avenue for competitiveness is the way we organize and manage production systems. There is an emerging consensus that existing layout configurations do not meet the needs of multi-product enterprises and there is a need for new generation of factory layout that are more flexible, modular, and easy to reconfigure. The proposed research will provide in-depth undersigning to rapid modeling and simulation of non-conventional manufacturing systems to answer questions related to: changes in product mix and volume; relocation, addition and deletion of machine tools; reconfiguration of material handling system; operator assignment, shift-scheduling and capacity adjustment; and product lot sizing and scheduling. Main contribution of the proposed research will be made in developing: (1) Models, algorithms and computerized tools to design and optimize non-conventional manufacturing systems such as cellular, fractal and reconfigurable manufacturing systems; (2) Manufacturing systems performance metrics tailored to the design criteria of these non-conventional manufacturing systems; (3) Methodologies for automatic synthesis and generation of supervisory control algorithm for reconfigurable manufacturing systems; (4) Simulation model generators to evaluate several reconfiguration decisions in reconfigurable manufacturing systems on a recurrent bases.