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Modelling inherent worker differences for workforce planning
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AI
DOI：10.1080/00207540600792242.png)
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Most of the literature in the area of workforce planning assumes that workers are identical. This paper considers fundamental decisions in workforce management assuming that workers are inherently different. General Cognitive Ability (GCA) is used as the measure for individual differences. A mixed integer programming model is developed to determine the amount of hiring, firing, and cross-training for each GCA level to minimize total costs, which include training costs, salary costs, firing costs and missed production costs over multiple time periods. Two sets of experiments were developed: (1) to show that the model can be applied to realistic manufacturing systems with large numbers of machine groups, and (2) to Study the parameters that affect workforce decisions. Our results indicate that worker differences should be considered when planning and managing the workforce.
Keyword:
workforce planning
human resource management
cross-training
期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
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ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)IF0
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