The integrated performance modeling environment—simulating human-system performance
Proceedings of the 29th conference on Winter simulation
Human factors affecting the success of advanced manufacturing systems
Computers and Industrial Engineering
Application of fuzzy multi-objective linear programming to aggregate production planning
Computers and Industrial Engineering
Aggregate production planning for a continuous reconfigurable manufacturing process
Computers and Operations Research
A goal programming model for aggregate production planning with resource utilization constraint
Computers and Industrial Engineering
Computers and Industrial Engineering
Fuzzy hierarchical production planning (with a case study)
Fuzzy Sets and Systems
Workforce planning and technology installation optimisation for utilities
Computers and Industrial Engineering
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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.