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首页> 外文期刊>Computers & Industrial Engineering >Case-Based Reasoning system for mathematical modelling options and resolution methods for production scheduling problems: Case representation, acquisition and retrieval
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Case-Based Reasoning system for mathematical modelling options and resolution methods for production scheduling problems: Case representation, acquisition and retrieval

机译：基于案例的推理系统，用于数学建模选项和生产计划问题的解决方法：案例表示，获取和检索

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摘要

Thanks to a wide and dynamic research community on short term production scheduling, a large number of modelling options and solving methods have been developed in the recent years both in chemical production and manufacturing domains. This trend is expected to grow in the future as the number of publications is constantly increasing because of industrial interest in the current economic context. The frame of this work is the development of a decision-support system to work out an assignment strategy between scheduling problems, mathematical modelling options and appropriate solving methods. The system must answer the question about which model and which solution method should be applied to solve a new scheduling problem in the most convenient way. The decision-support system is to be built on the foundations of Case Based Reasoning (CBR). CBR is based on a data base which encompasses previously successful experiences. The three major contributions of this paper are: (ⅰ) the proposition of an extended and a more exhaustive classification and notation scheme in order to obtain an efficient scheduling case representation (based on previous ones), (ⅱ) a method for bibliographic analysis used to perform a deep study to fill the case base on the one hand, and to examine the topics the more or the less examined in the scheduling domain and their evolution over time on the other hand, and (ⅲ) the proposition of criteria to extract relevant past experiences during the retrieval step of the CBR. The capabilities of our decision support system are illustrated through a case study with typical constraints related to process engineering production in beer industry.
机译：得益于广泛且充满活力的短期生产计划研究团体，近年来在化工生产和制造领域开发了许多建模选项和求解方法。由于当前经济环境下的工业兴趣，出版物的数量不断增加，因此预计这种趋势将在未来增长。这项工作的框架是开发决策支持系统，以制定调度问题，数学建模选项和适当的求解方法之间的分配策略。系统必须回答有关应该以哪种模型和哪种解决方法以最方便的方式解决新的调度问题的问题。决策支持系统将建立在基于案例的推理（CBR）的基础上。 CBR基于包含以前成功经验的数据库。本文的三个主要贡献是：（ⅰ）为了获得有效的排班案例表示（基于先前的案例），提出了一个扩展的，更详尽的分类和注释方案的提案；（ⅱ）一种书目分析方法一方面进行深入的研究以填补案例基础，另一方面在调度领域或多或少地检查主题以及它们随着时间的演变，以及（ⅲ）提出标准的建议CBR检索步骤中的相关过去经验。通过案例研究说明了我们决策支持系统的功能，其中涉及啤酒行业过程工程生产中的典型约束。

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  • 来源
    《Computers & Industrial Engineering》 |2014年第11期|46-64|共19页
  • 作者

    Tibor Kocsis; Stephane Negny; Pascal Floquet; Xuan Meyer; Endre Rev;

  • 作者单位

    Universite de Toulouse, LGC UMR 5503 - INPT ENSIACET, 4 allee Emile Monso, BP 44 362, 31030 Toulouse Cedex 4, France,Budapest University of Technology and Economics, Department of Chemical and Environmental Process Engineering, Budafoki ut 8, 1111 Budapest, Hungary;

    Universite de Toulouse, LGC UMR 5503 - INPT ENSIACET, 4 allee Emile Monso, BP 44 362, 31030 Toulouse Cedex 4, France;

    Universite de Toulouse, LGC UMR 5503 - INPT ENSIACET, 4 allee Emile Monso, BP 44 362, 31030 Toulouse Cedex 4, France;

    Universite de Toulouse, LGC UMR 5503 - INPT ENSIACET, 4 allee Emile Monso, BP 44 362, 31030 Toulouse Cedex 4, France;

    Budapest University of Technology and Economics, Department of Chemical and Environmental Process Engineering, Budafoki ut 8, 1111 Budapest, Hungary;

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  • 正文语种 eng
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  • 关键词

    Decision-support system; Process scheduling; Case Based Reasoning; Classification and notation system; Case retrieval;

    机译：决策支持系统;工艺调度;基于案例的推理;分类和标记系统;案例检索;

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