In today’s competitive market, manufacturers need to work hard towards improving their production system performance in order to satisfy customer demands. In such a situation, most companies develop production systems that can help in quality improvement, cost reduction and throughput time reduction. In this research, we consider a workforce planning (WP) model including some human aspects such as skills, training, and workers’ personalities and motivation. A multi-objective non-linear programming model is developed in order to minimize the hiring, firing, training and overtime costs and minimize the number of fired most productive workers. The purpose is to determine the number of workers for each worker type, the number of workers trained, and the number of overtime hours. Moreover, a decision support system (DSS) based on the proposed model is introduced using the Excel-LINGO software interfacing feature. The results indicate that the proposed model can provide a promising workforce planning approach to easily apply it in practice. Highlights: ► We consider a workforce planning (WP) model including workers’ differences. ► We incorporate working levels and possibility of workers training and upgrading. ► We introduce a decision support system to easily apply the model in practice. ► Costs and workers’ personalities have an effect on the selection of the workers. ► Decreasing top performers fired will increase their motivation and performance.

Title

Computers & Industrial Engineering

Publisher

Elsevier

Publisher Country

United States of America

Indexing

Thomson Reuters

Impact Factor

4.14

Publication Type

Both (Printed and Online)

Volume

63

Year

2012

Pages

1106-1096