基于损益云模型的制造车间重调度决策方法
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作者单位:

合肥工业大学机械与汽车工程学院,合肥230009.

作者简介:

张玺

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中图分类号:

F406.2

基金项目:

国家重点基础研究发展计划项目(2011CB013406);国家自然科学基金面上项目(71071046).


Rescheduling decision method of manufacturing shop based on profit-loss cloud model
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School of Mechanical and Automotive Engineering,Hefei University of Technology,Hefei 230009,China.

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    摘要:

    针对制造车间重调度触发机制问题, 建立了制造车间重调度损益函数, 揭示了生产车间重调度过程损失及增益的变化规律. 引入云理论测度重调度损益的不确定性, 使用逆向云算法计算重调度增益云和损失云的数字特征, 根据云形态预测重调度损益变化趋势. 提出一种基于损益云模型的重调度决策方法以判断是否需要重调度, 并利用最佳损益比甄选预调度方案以兼顾生产系统的稳定性和有效性. 最后, 通过实例验证了该方法的合理性和实用性.

    Abstract:

    Aiming at the problem of rescheduling triggering mechanism in manufacturing shops, the rescheduling gain and loss functions are established to reveal the law of tradeoff between profit and cost during the rescheduling process. The cloud theory is applied to measure the uncertainty of rescheduling tradeoff. Then the reverse cloud algorithm is used to calculate the numerical characteristics of gain and loss cloud. Furthermore, the cloud shape is used to predict the tendency of rescheduling tradeoff. A decision method based on the gain-loss cloud model is proposed to determine whether or not reschedule, and the pre-schedule that ensures the stability and efficiency of production system can be selected by using the optimal gain-loss ratio. Finally, an example is given to demonstrate the rationality and feasibility of the method.

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引用本文

刘明周 张玺 张铭鑫 葛茂根 扈静.基于损益云模型的制造车间重调度决策方法[J].控制与决策,2014,29(8):1458-1464

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历史
  • 收稿日期:2013-06-24
  • 最后修改日期:2013-11-12
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  • 在线发布日期: 2014-08-20
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