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Integer based formulation for the simple assembly line balancing problem with multiple identical tasks

机译:基于整数的公式,用于具有多个相同任务的简单装配线平衡问题

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摘要

Assembly lines, especially those with welding procedures, can present several tasks with the same properties. These tasks can be treated as tasks with replicas, simplifying the problem. A Mixed Integer Linear Programming model is presented for the Simple Assembly Line Balancing Problem with Multiple Identical Tasks (or Repeated Tasks). Integer variables were used to define the number of identical tasks performed in each station. Along with variable reduction rules, the compact formulation presents only a fraction of the variables of equivalent binary models when several repeated tasks are present. Three instances inspired in real assembly lines and adapted benchmark problems with repeated tasks are used to compare the formulations. Using a universal solver, the integer formulation outperformed the binary formulation for the vast majority of instances and achieved competitive results in relation to the efficient procedure SALOME-2 (a dedicated algorithm based on branch-and-bound for Simple Assembly Line Balancing Problem). Grouping identical tasks proved to simplify the problem, allowing the procedure to solve larger instances.
机译:装配线,特别是具有焊接程序的装配线,可以呈现具有相同属性的多个任务。这些任务可以视为带有副本的任务,从而简化了问题。针对具有多个相同任务(或重复任务)的简单装配线平衡问题,提出了混合整数线性规划模型。整数变量用于定义每个工作站中执行的相同任务的数量。与变量归约规则一起,当存在多个重复任务时,紧凑公式仅表示等效二元模型变量的一部分。在实际装配线中启发了三个实例,并通过重复任务修改了基准问题,以比较配方。使用通用求解器,在大多数情况下,整数公式要优于二进制公式,并且相对于有效过程SALOME-2(基于基于分支定界的专用流水线平衡问题的专用算法)而言,它获得了竞争性的结果。事实证明,对相同的任务进行分组可以简化问题,从而可以解决较大的问题。

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