Please use this identifier to cite or link to this item:
|Title:||SimMan-A simulation model for workforce capacity planning|
|Authors:||Huang, H.-C. |
Thomas Eck, B.
Workforce capacity planning
|Source:||Huang, H.-C., Lee, L.-H., Song, H., Thomas Eck, B. (2009-08). SimMan-A simulation model for workforce capacity planning. Computers and Operations Research 36 (8) : 2490-2497. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cor.2008.10.003|
|Abstract:||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. © 2008 Elsevier Ltd. All rights reserved.|
|Source Title:||Computers and Operations Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
WEB OF SCIENCETM
checked on Feb 7, 2018
checked on Feb 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.