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

Yufei Huang, Feng Chu, Chengbin Chu, Yingluo Wang

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)73-89
Number of pages17
JournalJournal of Intelligent Manufacturing
Volume23
Issue number1
Early online dateAug 2009
DOIs
Publication statusPublished - Feb 2012

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