Issue No. 05 - September/October (2008 vol. 23)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2008.84
Peter Jackson , Cornell University
Yanbin Chen , Cornell University
Ramin Farhangi , Boston Consulting Group
Xiang Li , Microstrategy
David A. Pilo Mansion , Microsoft
Evan Markel , Cornell University
Ryan Morris , VideoNote LLC
Len Podgurny , CN
Al Randall , CN
Paul Hofmann , SAP Labs, Palo Alto
Each week, 7,500 Canadian National Railway employees are assigned jobs on the basis of their preferences and seniority. CN seeks to leverage its implementation of an SAP enterprise system to improve employee satisfaction with the job assignment system. A team of Cornell University students investigated strategies to predict employee satisfaction, improve job assignment algorithms, enable selection of coworkers, and reduce the number of nights workers must spend away from home.
assignment algorithms, utility functions, heuristic rules, transportation modeling
P. Hofmann et al., "IT Strategies for Increased Rail Employee Satisfaction," in IEEE Intelligent Systems, vol. 23, no. , pp. 13-15, 2008.