Learning by Objectives for Adaptive Shop-Floor Scheduling
نویسندگان
چکیده
منابع مشابه
Learning by Objectives for Adaptive Shop-Floor Scheduling
Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decisionmaking. A high-level knowledge representation for modeling production environments is developed, with facilities for genetic learning w...
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One problem management scientists face in adapting heuristics to actual applications on the factory floor is eliciting preferences from plant managers about the importance of different jobs. Even when the goal of the firm is apparently as straightforward as profit maximization, reputation and goodwill can play such critical roles in affecting the revenue flow, that exclusively focusing on a few...
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Shop-floor control has long been recognized as an important tool in improving manufacturing performance, an issue of great importance in the highly competitive semiconductor industry. Despite theoretical evidence of the benefits of certain kinds of scheduling policies, a wide disparity in shop-floor control practices exists in the industry. To better understand why such differences exist, we an...
متن کاملShop Floor Scheduling Using Tabu Search
摘要 現場管制系統是ERP的主要子系統之一, 其主要功能是安排現場訂單的排程. 根據研 究,大部分現場的排程問題是屬於 Job Shop問 題. 所以過去幾十年來 Job Shop問題一直是 產業界與學術界重要的研究課題之一. 其間 雖有無數的論文發表, 但因缺少考慮現場實際 的狀況, 很少研究的成果可以用來解決現場的 排程問題. 本研究開發以 Tabu Search為主的 排程方法. 經以個人在美國工作現場所使用之 MRP II 系統所產生的資料驗證, 本方法確能 有效求解現場的排程問題. 關鍵字: Job Shop, Tabu Search Abstract Shop floor control system is a sub-system of the ERP system. Its major function is to generate daily schedules f...
متن کاملReal-World Shop Floor Scheduling by Ant Colony Optimization
Email: [email protected] Email: marco. [email protected] Email: [email protected] phone: ++49-371-531 42 52 In order to compare the reached solution quality, we used the mean ow time and the mean lateness of jobs. For the comparison of the results achieved by the means of the Ant Algorithm and other methods we used a priority rule scheduler (PRI...
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ژورنال
عنوان ژورنال: Decision Sciences
سال: 1998
ISSN: 0011-7315,1540-5915
DOI: 10.1111/j.1540-5915.1998.tb01580.x