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首页> 外文会议>International Conference on Production Research >AN AGENT-BASED APPROACH FOR DECISION-SUPPORT IN PRODUCTION SCHEDULING - MATHEMATICAL PROGRAMMING MODEL OF PRODUCTION SCHEDULING WITH UNCERTAINTY
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AN AGENT-BASED APPROACH FOR DECISION-SUPPORT IN PRODUCTION SCHEDULING - MATHEMATICAL PROGRAMMING MODEL OF PRODUCTION SCHEDULING WITH UNCERTAINTY

机译：一种基于代理的决策支持方法，用于生产调度 - 具有不确定性的生产调度的数学规划模型

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摘要

Due to a large amount of the retirement of experienced personnel, it is one of the most serious issues how the technical predominance of manufacturing industries can be maintained. From the viewpoint of problem-solving by experienced personnel, the acquisition and the utilization of additional and essential information might be crucial. According to this observation, in the paper, a kind of scheduling problems, i.e., a scheduling problem of the flexible flow shop type, is taken as an example of the problem-solving in manufacturing industries. Then, a mathematical programming-based approach is investigated, where two kinds of optimization models are formulated: One is the model of the solution by unskillful personnel in which only the common data is used, whereas the other is the solution model by experienced personnel in which some additional information is available. Furthermore, through some computational examples for the simplified scheduling problem of the flexible flow shop type, the potential of the experienced personnel model, i.e., the robustness of the obtained schedule for uncertain situations, has been confirmed.
机译：由于经验丰富的人员退休，这是最严重的问题之一，如何维持制造业的技术优势。从经验丰富的人员解决问题的角度来看，收购和额外信息的利用可能是至关重要的。根据该观察，在本文中，一种调度问题，即柔性流店类型的调度问题，作为制造业解决问题的示例。然后，研究了数学编程的方法，其中制定了两种优化模型：一个是由不熟练的人员的解决方案的模型，其中仅使用常见数据，而另一个是经验丰富的人员的解决方案模型可以使用哪些其他信息。此外，通过一些计算实施例的柔性流店类型的简化调度问题，已经确认了经验所经验的人员模型的潜力，即不确定情况的所得时间表的鲁棒性。

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