SimMan -- A simulation model for workforce capacity planning Motivated by the difficulty in predicting the actual performance of workforce capacity planning solutions obtained from mathematical models, we develop a simulator, SimMan, to serve as a test bed for evaluating the effectiveness and robustness of different planning options and assignment rules. To facilitate the ease of use, the simulator is developed in C++ language with a modular structure so that different users or planners can customize the modules according to their specifications. We further develop a mathematical model for the workforce capacity planning problem, where the uncertainty of the demand is handled by the safety stock concepts. We also suggest a number of practical planning alternatives and assignment rules based on information from IBM. These rules are implemented as modules in SimMan and tested numerically to provide managerial insights
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- De Bruecker, Philippe; Beliën, Jeroen; Van den Bergh, Jorne; Demeulemeester, Erik: A three-stage mixed integer programming approach for optimizing the skill mix and training schedules for aircraft maintenance (2018)
- De Bruecker, Philippe; Van den Bergh, Jorne; Beliën, Jeroen; Demeulemeester, Erik: Workforce planning incorporating skills: state of the art (2015)
- Huang, Huei-Chuen; Lee, Loo-Hay; Song, Haiqing; Eck, Brian Thomas: SimMan -- A simulation model for workforce capacity planning (2009)