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Enhancement for human resource management in the ULD build-up process of air-cargo terminal: a strategic linkage approach
Journal of Heuristics ( IF 1.1 ) Pub Date : 2020-01-21 , DOI: 10.1007/s10732-020-09436-y
Hyun Jun Yang , Suk Jae Jeong , Sung Wook Yoon

This study proposes a strategic linkage method with mathematical model, simulation model and heuristic approaches to an adaptive workforce scheduling problem reflecting the work site situation of the air cargo terminal. For the application of the proposed method, we first generate an initial workforce schedule using the optimization model for minimizing labor costs. The simulation model is then used to verify that the initial schedule is applicable on-site. If the initial plan does not meet the service level expressed as a delay in the departure of aircrafts, by linking optimization and simulation models, additional required personnel are determined for reducing the frequency of departure delay. But, though the experiments, we were able to confirm that the linkage of optimization and simulation alone resulted in the creation of excess manpower. To compensate for the limitation of the linkage, we develop the Backward Removal Heuristics (BRHs) algorithm. In an experiment with BRHs algorithm, we showed that BRHs could reduce the number of unnecessarily added workers based on the interaction between utilization of workers and operation congestion. With case study on the ULD build-up process of K airline air-cargo terminal, the linkage model with BRHs algorithm is tested and proven its effectiveness. The experimental results show that the workforce schedule from the linkage model increases the service level and the cost, but when applied to the BRHs algorithm, the model maintains the service level but decreases the cost.

中文翻译:

在空运货站的ULD建立过程中增强人力资源管理:一种战略联系方法

本研究提出了一种基于数学模型,仿真模型和启发式方法的战略联动方法,以解决反映航空货运码头工作现场情况的自适应劳动力调度问题。对于所提出方法的应用,我们首先使用优化模型生成初始劳动力计划,以最大程度地降低人工成本。然后,使用仿真模型来验证初始时间表是否适用于现场。如果初始计划未达到表示飞机起飞延迟的服务水平,则通过链接优化和模拟模型,可以确定所需的额外人员,以减少起飞延迟的频率。但是,尽管进行了实验,我们仍然能够确认,优化和仿真的结合本身就导致了过多的人力资源。为了弥补链接的局限性,我们开发了向后删除启发式算法(BRHs)。在使用BRHs算法的实验中,我们证明了BRHs可以基于工人利用率和操作拥堵之间的相互作用来减少不必要地增加的工人数量。以K航空公司空运站ULD建立过程为例,对BRHs算法的联动模型进行了测试,证明了其有效性。实验结果表明,基于联动模型的劳动力调度增加了服务水平和成本,但是当将其应用于BRHs算法时,该模型可以维持服务水平但降低成本。我们表明,基于工人的利用率和运营拥堵之间的相互作用,BRH可以减少不必要地增加的工人数量。以K航空公司空运站ULD建立过程为例,对BRHs算法的联动模型进行了测试,证明了其有效性。实验结果表明,基于联动模型的劳动力调度增加了服务水平和成本,但是当将其应用于BRHs算法时,该模型可以维持服务水平但降低成本。我们表明,基于工人的利用率和运营拥堵之间的相互作用,BRH可以减少不必要地增加的工人数量。以K航空公司空运站ULD建立过程为例,对BRHs算法的联动模型进行了测试,证明了其有效性。实验结果表明,基于联动模型的劳动力调度增加了服务水平和成本,但是当将其应用于BRHs算法时,该模型可以维持服务水平但降低成本。
更新日期:2020-01-21
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