Determining the number of new employees with learning, forgetting and variable wage with a newsvendor model in pull systems - Archive ouverte HAL
Article Dans Une Revue Journal of Intelligent Manufacturing Année : 2012

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

Chengbin Chu
Yingluo Wang
  • Fonction : Auteur
  • PersonId : 914763

Résumé

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.
Fichier principal
Vignette du fichier
Huang2012.pdf (309.24 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00735059 , version 1 (31-10-2023)

Identifiants

Citer

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, 2012, 23 (1), pp.73-89. ⟨10.1007/s10845-009-0307-5⟩. ⟨hal-00735059⟩
128 Consultations
35 Téléchargements

Altmetric

Partager

More