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Determining the number of new employees with learning, forgetting and variable wage with a newsvendor model in pull systems

Abstract : This paper develops a new quantitative model to find the optimal number of new employees with a Newsvendor model in a pull production system. This model allows learning, forgetting and variable wage. This paper also provides numerical results on sensitivity analysis, and compares the numerical results in three different situations: the situation with both learning and forgetting effect, that with learning effect but without forgetting effect and the situation with neither learning nor forgetting effect. The conclusions drawn from the comparison may offer theoretical insight for human resource managers to make appropriate employment decisions.
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https://hal.archives-ouvertes.fr/hal-00735059
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, September 25, 2012 - 11:38:19 AM
Last modification on : Wednesday, July 15, 2020 - 10:36:10 AM

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Yufei Huang, Feng Chu, Chengbin Chu, Yingluo Wang. Determining the number of new employees with learning, forgetting and variable wage with a newsvendor model in pull systems. Journal of Intelligent Manufacturing, Springer Verlag (Germany), 2012, 23 (1), pp.73-89. ⟨10.1007/s10845-009-0307-5⟩. ⟨hal-00735059⟩

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