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分支定界法在制丝多线排产优化中的应用

Application of Branch and Bound Algorithm in Production Scheduling Optimization of Multiple Primary Processing Lines for Cut Tobacco

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【作者】 金剑金钊祁跃东

【Author】 Jin Jian Jin Zhao Qi Yuedong

【机构】 红塔集团玉溪卷烟厂云南大学信息学院

【摘要】 为优化制丝多生产线排产,设计了带约束限制、以总生产成本为优化目标的排产数学模型。该模型使用分支界定优化算法进行求解,并针对实际的制丝任务排产,改进了算法流程和求解策略。采用.NET编程实现了制丝多线生产的整数规划优化。通过制丝生产任务分配实例,验证了分支定界算法的有效性。该算法在满足实际生产约束条件下,获得了优化的制丝多线任务分配方案,从而降低了制丝生产总成本和烟丝库存。

【Abstract】 In order to optimize the production scheduling of multiple primary processing lines for cut tobacco,the production scheduling mathematical model with constraints limit and using total production costs as optimization target is established.The branch and bound optimization algorithm is used by the model to get solution,and schedule the production in accordance with practical manufacturing task of cut tobacco,the algorithm process and solution strategy is improved.By using.NET programming,the optimization of integer planning for multiple processing lines is implemented.Through practical example of production task allocation,the effectiveness of the branch and bound optimization algorithm is verified,and the optimized task allocation scheme of multiple primary processing lines is obtained and the constraints of practical production are satisfied,thus the total production costs and inventories of cut tobacco are reduced.

  • 【文献出处】 自动化仪表 ,Process Automation Instrumentation , 编辑部邮箱 ,2012年11期
  • 【分类号】TS452
  • 【被引频次】10
  • 【下载频次】165
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