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Joint Requirement of Two Multi-skill Resource Types in Multi-period Multi-site Assignment Problem

机译:多期多工位分配问题中两种多技能资源类型的共同要求

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A classic assignment problem determines how to assign resources to tasks in the best possible way. Over the past years, the classic assignment problem has been extended and more complicated assignment models have been proposed. A multi-period multi-site assignment problem is one extension of the classic assignment problem. The number of site and period are increased to more than one and the decision is extended to consider assigning resources to site while concerning tasks in each site and period. Most multi-period multi-site assignment models do not concern joint of resources for operation; however, in some real-life problems, there is a case in which joint of resources for doing tasks is required. In this study, we consider joint requirement of two multi-skill resource types in the multi-period multi-site assignment problem and propose the mathematical model and heuristic. The developed heuristic is separated into two parts. The first part is to create an initial solution by CPLEX In the second part, to improve solution, algorithms for allocating resources to sites and assigning resources to tasks are developed. The computational experiment is done for studying the characteristic of the proposed problem when joint requirement is added and also evaluating the efficiency of the developed algorithm. The result shows that the complexity of the problem highly depends on the ratio of task requiring one and two resource types and while other parameters are fixed except the number of resource, there is only one range of the number of resource that makes the problem complex. For the efficiency of the algorithm, the developed heuristic can find good solutions in a short time in all ranges of the number of resource in all test problems (average optimal gap of all test problems is 7.25%). (29 views)
机译:经典的分配问题决定了如何以最佳方式将资源分配给任务。在过去的几年中,经典的分配问题得到了扩展,并且提出了更复杂的分配模型。多周期多站点分配问题是经典分配问题的扩展。站点和周期的数量增加到一个以上,并且决定扩展到考虑分配站点资源,同时涉及每个站点和周期中的任务。大多数多周期多站点分配模型并不涉及运营资源的联合。但是,在一些现实生活中的问题中,有时需要为执行任务而投入大量资源。在这项研究中,我们考虑了多期多站点分配问题中两种多技能资源类型的共同要求,并提出了数学模型和启发式方法。发达的启发式方法分为两个部分。第一部分是由CPLEX创建初始解决方案。第二部分,为改进解决方案,开发了用于将资源分配给站点并将资源分配给任务的算法。进行了计算实验,研究了添加联合需求时所提出问题的特征,并评估了所开发算法的效率。结果表明,问题的复杂性在很大程度上取决于需要一种和两种资源类型的任务的比率,而除了资源数量之外其他参数是固定的,资源数量只有一个范围使问题变得复杂。为了提高算法的效率,所开发的启发式算法可以在所有测试问题中的所有资源数量范围内的短时间内找到良好的解决方案(所有测试问题的平均最佳差距为7.25%)。 (29观看次数)

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