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首页> 外文期刊>Journal of Intelligent Manufacturing >Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data
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Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data

机译：从支持RFID的实时车间生产数据中挖掘SOT和调度规则

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摘要

Radio frequency identification (RFID) has been widely used in manufacturing field and created a ubiquitous production environment, where advanced production planning and scheduling (APS) might be enabled. Within such environment, APS usually requires standard operation times (SOTs) and dispatching rules which have been obtained from time studies or based on past experiences. Wide variations exist and frequently cause serious discrepancies in executing plans and schedules. This paper proposes a data mining approach to estimate realistic SOTs and unknown dispatching rules from RFID-enabled shopfloor production data. The approach is evaluated by real-world data from a collaborative company which has been used RFID technology for supporting its shopfloor production over seven years. The key impact factors on SOTs are quantitatively examined. A reference table with the mined precise and practical SOTs is established for typical operations and suitable dispatching rules are labled as managerial implicities, aiming at improving the quality and stability of production plans and schedules.
机译：射频识别（RFID）已在制造领域得到广泛使用，并创建了无处不在的生产环境，可以在其中启用高级生产计划和计划（APS）。在这样的环境中，APS通常需要标准的操作时间（SOT）和调度规则，这些时间和调度规则是从时间研究或过去的经验中获得的。存在很大的差异，并且经常导致执行计划和进度表方面的严重差异。本文提出了一种数据挖掘方法，用于从具有RFID功能的车间生产数据中估算实际的SOT和未知的调度规则。该方法由一家合作公司的实际数据进行了评估，该公司已使用RFID技术支持其车间生产长达七年之久。对SOT的关键影响因素进行了定量检查。建立了包含已开采的精确实用SOT的参考表，以用于典型操作，并将适当的调度规则标记为管理隐含内容，旨在提高生产计划和进度表的质量和稳定性。

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