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

Authors:
Yufei Huang;Feng Chu;Chengbin Chu;Yingluo Wang
Affiliations:
School of Management, Xi'an Jiaotong University, Xi'an, China 710049 and Institut Charles Delaunay, Université de technologie de Troyes, FRE CNRS 2848, Laboratoire d'optimisation des syst ...;Université d'Evry Val d'Essonne, IBISC/CNRS-FRE 2873, Evry Cedex, France 91025;Laboratoire Génie Industriel, Ecole Centrale Paris, Châtenay-Malabry Cedex, France 92295;School of Management, Xi'an Jiaotong University, Xi'an, China 710049
Venue:
Journal of Intelligent Manufacturing
Year:
2012

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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.