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Issue No. 05 - September/October (2008 vol. 23)
ISSN: 1541-1672
pp: 13-15
Paul Hofmann , SAP Labs, Palo Alto
Yanbin Chen , Cornell University
Evan Markel , Cornell University
Ryan Morris , VideoNote LLC
Xiang Li , Microstrategy
Peter Jackson , Cornell University
Ramin Farhangi , Boston Consulting Group
ABSTRACT
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.
INDEX TERMS
assignment algorithms, utility functions, heuristic rules, transportation modeling
CITATION
Paul Hofmann, Yanbin Chen, Evan Markel, Ryan Morris, Xiang Li, Al Randall, David A. Pilo Mansion, Peter Jackson, Ramin Farhangi, Len Podgurny, "IT Strategies for Increased Rail Employee Satisfaction", IEEE Intelligent Systems, vol. 23, no. , pp. 13-15, September/October 2008, doi:10.1109/MIS.2008.84
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