Workshop on Intelligent, Dynamic Scheduling for Manufacturing, Cocoa Beach, Florida, January 25-27, 1993

智能、动态制造调度研讨会，佛罗里达州可可海滩，1993 年 1 月 25-27 日

• 批准号: 9301310
• 负责人: Leslie Interrante
• 金额: $ 2.15万
• 依托单位: University of Alabama in Huntsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-01-15 至 1993-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9301310&HistoricalAwards=false
• 关键词: Workshop; Intelligent; Dynamic; Scheduling; Manufacturing

Intelligent, dynamic scheduling in manufacturing systems encompasses a unique set of problems which span Computer Science, Engineering, and Cognitive Science fields of expertise. Many issues come to play in the manufacturing scheduling arena, including: 1. external (suppliers, production orders, market conditions, etc.) and internal factors (machine layout, setup times, maintenance, etc.), 2. interactions within the plant because of, e.g., resource sharing among lines or cells, 3. unexpected conditions or events (breakdowns, stockouts, strikes, etc.), 4. inventory policies (e.g., MRP versus JIT), 5. type of layout (e.g. flow lines, cells, job shop), 6. volume. These and other issues render the scheduling problem a complicated one, requiring a knowledge-rich solution procedure based on a model of the plant synthesis-type reasoning tasks. This workshop brings together researchers with the unique blend of skill necessary to develop models and schedulers in manufacturing. The goals of the workshop are to: 1. clarify what progress has been made in this area, 2. identify the various levels and types of schedules required in manufacturing and how they interact, 3. identify the factors most critical to schedule formation/revision, 4. address plant-specific research versus more general research via a discussion of classification or morphology of plant types and/or features, 5. compare manufacturing scheduling to other types of scheduling tasks; what makes manufacturing scheduling unique?, 6. discuss empirical versus theoretical research in the field, 7. set major research goals for future work.//

制造系统中的智能动态调度包含一系列独特的问题，涵盖计算机科学、工程和认知科学专业领域。 许多问题在制造调度领域发挥作用，包括： 1. 外部因素（供应商、生产订单、市场条件等）和内部因素（机器布局、设置时间、维护等），2. 工厂​​内的相互作用，例如生产线或单元之间的资源共享，3. 意外情况或事件（故障、缺货、罢工等），4. 库存政策（例如，MRP 与 JIT），5. 生产类型 布局（例如流线、单元、车间），6. 体积。 这些和其他问题使得调度问题变得复杂，需要基于工厂综合型推理任务模型的知识丰富的解决过程。 该研讨会汇集了具有开发制造模型和调度程序所需的独特技能的研究人员。 研讨会的目标是： 1. 阐明该领域已取得的进展， 2. 确定制造中所需的各种级别和类型的计划以及它们如何相互作用， 3. 确定对计划形成/修订最关键的因素， 4. 通过讨论工厂类型和/或特征的分类或形态来解决工厂特定研究与更一般的研究， 5. 将制造计划与其他类型的计划任务进行比较；制造调度有何独特之处？ 6. 讨论该领域的实证研究与理论研究，7. 为未来的工作设定主要研究目标。//