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A rule-based heuristic finite capacity scheduling system for semiconductor backend assembly

机译：基于规则的半导体后端装配启发式有限容量调度系统

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摘要

Finite capacity scheduling (FCS) has been widely implemented in manufacturing companies for detailed shop floor operation management. Most of the traditional and artificial intelligence-based FCS systems lack the ability to provide a satisfying and practical solution for the large-scale scheduling problem in a complex environment. This paper describes a rule-based FCS system for the daily production scheduling (DPS) of a semiconductor backend assembly company. DPS is the FCS module of the gintic scheduling system (GSS), which has been enhanced and implemented successfully in a semiconductor backend assembly company, which is a world market leader in semiconductor packaging technology. Since the focus of this paper is on the DPS module, the overall framework and the other core modules of GSS are briefly covered. The detailed design of the six DPS modules, namely data input/integration, model configuration, data pre-processing, job prioritization (JP) executive, machine selection (MS) executive and result output, are presented in detail. The inference engines of JP and MS executive modules are discussed, which perform a unique rule-based job prioritization and machine selection process of the work order list and the assignments on the machines to achieve the desired scheduling objectives specified by the end user. Group technology is incorporated into the system to categorise the resources and parts for set-up/changeover reduction consideration. The successful deployment of the system in the industry endorsed the fact that the implemented DPS system has the capability to solve large-scale scheduling problems and performs well in the complex industrial environment. Favourable feedbacks received from the company include reduction in changeover and set-up, improved on-time delivery, increased machine utilization, decreased cumulative cycle time of work order, etc.
机译：有限产能计划（FCS）已在制造公司中广泛实施，以进行详细的车间运营管理。大多数传统的和基于人工智能的FCS系统都缺乏为复杂环境中的大规模调度问题提供令人满意且实用的解决方案的能力。本文介绍了基于规则的FCS系统，用于半导体后端组装公司的日常生产计划（DPS）。 DPS是gintic调度系统（GSS）的FCS模块，该模块已在半导体后端组装公司中得到了增强和成功实施，该公司是半导体封装技术的全球市场领导者。由于本文的重点是DPS模块，因此简要介绍了GSS的总体框架和其他核心模块。详细介绍了六个DPS模块的详细设计，即数据输入/集成，模型配置，数据预处理，作业优先级（JP）执行器，机器选择（MS）执行器和结果输出。讨论了JP和MS执行模块的推理引擎，该引擎执行基于唯一规则的作业优先级排序和工作单列表的机器选择过程以及机器上的分配，以实现最终用户指定的所需调度目标。系统中集成了分组技术，可对资源和零件进行分类，以减少设置/更换所需的时间。该系统在业界的成功部署证明了这样一个事实，即已实施的DPS系统具有解决大规模调度问题并在复杂的工业环境中良好运行的能力。从公司获得的良好反馈包括减少转换和设置，改善准时交货，提高机器利用率，减少工单的累积周期等。

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