Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A system and method of generating an transparent optimized shift schedule for a plurality of crew members that includes receiving a plurality of shift bids from the plurality of crew members, with each of the shift bids to be either classified as awarded or rejected, optimizing the transparent optimized shift schedule; and presenting, to each crewmember from the plurality of crewmembers who submitted a shift bid classified as a rejected shift bid, the reason code associated with his or her rejected shift bid; wherein presenting, to each crewmember from the plurality of crewmembers who submitted a shift bid classified as a rejected shift bid, his or her shift assignment from the optimized shift schedule and a reason code associated with his or her rejected shift bid provides transparency as to why each rejected shift bid was rejected.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A crew planning system includes a demand forecasting module and an optimization module. The system forecasts anticipated reserve demand levels, and determines suitable reserve staffing approaches to meet anticipated reserve demand. The forecasting is based upon probabilistic distribution models which take into account variability associated with reserve demand for a particular day. Via use of the crew planning system, reserve staffing expenses may be reduced and/or reserve demand may be met with a higher degree of probability.

Abstract: A comprehensive system and methodology for incorporating origination and destination network effects into a transportation industry's vehicle assignment process. The invention utilizes a decomposition strategy to combine a simplified version of network segment-FAM with the network flow aspects of origination and destination yield management. The invention's decomposition of the problem allows for the nonlinear aspects of the targeted origination and destination market effects to be isolated in origination and destination yield management, and subsequently incorporated in the vehicle assignment model using linear approximations to the total revenue function. The system operates either in "standalone" mode, or communicably attached to remote and local databases attendant to equipment and scheduling.