Strategic Human Resource Management Simulation Considering Work Elements, Skills, Learning and Forgetting

Takayuki Kataoka, Katsumi Morikawa, Katsuhiko Takahashi

doi:10.1016/j.promfg.2020.01.278

Abstract The assembly line design and balancing problems have been widely documented in the literature. Generally, many previous papers assume the tasks do not depend on the stations, i.e., any task can be carried out at any station. On the other hand, some previous papers involve solving two assignment problems. For instance, resources must be assigned to stations, while tasks are assigned to the same stations simultaneously. On the other hand, some previous papers also introduce the lines where some tasks cannot be performed at all the stations and where performance times depend on the worker performing the task just like the real world. However, the models are processed to reduce the dimension of the problem, and therefore they have some shortcomings. Especially, the task time for temporary workers is expressed as the product of the task time for a permanent worker and a coefficient deterministically. Therefore, it cannot consider the strategic human resource planning even though the skill levels of various workers exist in the real world. In this paper, a multi-period worker assignment model considering work elements, skills, learning and forgetting is proposed by redefining new variables and parameters regarding worker skills. Using numerical experiments, we show better cases where the proposed model leads to less total processing time and higher production rate for each human resource strategy. In addition, we show the number of workers at a particular skill at the end of simulation to consider strategic human resource management simulation.

Strategic Human Resource Management Simulation Considering Work Elements, Skills, Learning and Forgetting

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