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IT Strategies for Increased Rail Employee Satisfaction
September/October 2008 (vol. 23 no. 5)
pp. 13-15
Peter Jackson, Cornell University
Yanbin Chen, Cornell University
Ramin Farhangi, Boston Consulting Group
Xiang Li, Microstrategy
Evan Markel, Cornell University
Ryan Morris, VideoNote LLC
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.

1. Y. Chen et al., "Bids and Bulletins, Buckets and Buddies, Meet and Greet: An Evaluation of CN Rail's Job-Design and Job-Assignment System," Master of Eng. report, School of Operations Research and Information Eng., Cornell Univ., 2008.
2. E.L. Lawler et al., The Traveling Salesman Problem, J. Wiley &Sons, 1985.
3. K. Talluri and G. van Ryzin, "Revenue Management under a General Discrete Choice Model of Consumer Behavior," Management Science, vol. 50, no. 1, 2004, pp. 15–33.

Index Terms:
assignment algorithms, utility functions, heuristic rules, transportation modeling
Citation:
Peter Jackson, Yanbin Chen, Ramin Farhangi, Xiang Li, David A. Pilo Mansion, Evan Markel, Ryan Morris, Len Podgurny, Al Randall, Paul Hofmann, "IT Strategies for Increased Rail Employee Satisfaction," IEEE Intelligent Systems, vol. 23, no. 5, pp. 13-15, Sept.-Oct. 2008, doi:10.1109/MIS.2008.84
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