A Framework for Integrated Production Planning and Scheduling in a Hybrid Assembly Job Shop Environment Under Uncertainty

不确定性下混合装配车间环境下的集成生产计划和调度框架

• 批准号: 9300568
• 负责人: Bobbie Foote
• 金额: $ 15.77万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-15 至 1997-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9300568&HistoricalAwards=false
• 关键词: Framework; Integrated; Production; Planning; Scheduling

9300568 Foote The advancement in computer technology and the competition among computer companies have resulted in an increase in the application of computer aided design (CAD), computer aided process planning and computer aided manufacturing (CAM). Although the development of new technologies is necessary for the advancement of science, lack of integration of these technologies will prove detrimental to the system and hence may result in the desertion of such technologies. Today, there is greater need for efficient production management techniques than ever. Current methods of improving production management focus on several approaches as independent methods of improvement. The goal of this research is to develop in some sense a 'maximal' production management methodology. A 'maximal' methodology is one that takes advantages of the major variable sources of flexibility and response available to a manager: choosing lot size,process plan (which part feature to process), process used to create feature, sequence at each process, inventory created, shortage accepted or subcontract awarded. The methodology applies to a hybrid assembly job shop, which manufactures components some of which go to an assembly line. This approach is now possible due to advances in modeling and computational methodologies, increased computer power, and advances in data base organization. The individual data fields (time standards, process plans, holding costs, reliability and defect rate data, etc.) are limited to those currently available in actual manufacturing systems known and explored by the researchers. The individual choices must be coordinated since optimizing an individual variable such as lot size may overload a bottleneck resource, optimizing flow time by shortest processing time may increase tardiness and again overload a temporary bottleneck. The integration of fast simulation process planning, multiple criteria optimization, stochastic programming with recourse techniques with the scheduling and sequencing techniques is original and shows promise of improvements over the current theory.

小行星9300568 计算机技术的进步和计算机公司之间的竞争导致了计算机辅助设计（CAD）、计算机辅助工艺规划和计算机辅助制造（CAM）的应用增加。 虽然新技术的发展对科学的进步是必要的，但缺乏这些技术的整合将证明对系统有害，因此可能导致这些技术的遗弃。今天，更需要高效的 生产管理技术比以往任何时候。 目前改进生产管理的方法集中在几种独立的改进方法上。 本研究的目标是在某种意义上开发一种“最大化”的生产管理方法。 最大限度的方法是一种利用灵活性和反应的主要可变来源的方法 给一个经理：选择批量大小、工艺计划（要处理的零件特征）、用于创建特征的工艺、每个工艺的顺序、创建的库存、接受的短缺或授予的短缺。 该方法适用于一个混合装配车间，其中制造的组件，其中一些去装配线。 由于建模和计算方法的进步、计算机能力的提高以及数据库组织的进步，这种方法现在是可能的。 单个数据字段（时间标准、工艺计划、持有成本、可靠性和缺陷率数据等）仅限于研究人员已知和探索的实际制造系统中目前可用的那些。 个体选择必须协调，因为优化个体变量（如批量）可能会使瓶颈资源过载，通过最短处理时间优化流程时间可能会增加延误并再次使临时瓶颈过载。 快速仿真工艺规划，多目标优化，随机规划与资源技术与调度和排序技术的集成是原始的，并显示出改善目前的理论的承诺。