If you have been looking for ways to schedule the transportation of perishable objects at the least amount of risk-attend this seminar. MOST (Mobile Optimizer for Scheduling and Transit) is an Expert-system/Optimization-Model with manual interaction that performs planning and real-time dispatching of a fleet of vehicles delivering perishable products in a dynamic environment. This dynamic environment is the result of changing weather conditions, travel time variability in a high population metropolitan area, and an order modification/cancellation rate that typically runs as high as 90%. By utilizing historical travel times, cancellation probabilities, and projected fleet/system capabilities, MOST allows planning for future days by determining if accepting an order at a particular time will exceed pre-set overbooking limits. If so, alternative times are suggested. MOST then performs a system-wide balancing to determine starting locations and times for the fleet of 150 trucks and 12 plants, serving 500-600 deliveries. MOST also develops a time-space network to drive exact optimization algorithms with meta-heuristic algorithms to perform real-time planning and dispatching. Fleet status and locations are monitored through the employment of GPS receivers, on-board sensors, and mobile digital transmitters. A live question and answer period will follow the seminar.

• priority scheduling for "best" customers
• exact optimization for the next day schedule
• heuristics for real-time scheduling throughout the current day-with alternate routes within a given order
• alternative delivery time suggestions to order takers whenever capacity is exceeded
• determines the arrival times of drivers for next-day deliveries
• provides alternative schedules when weather conditions predict schedule disruptions (next day) enabling orders to be pushed toward the beginning or end of day
• plans the order schedule for loading orders at plants

Recommended Prerequisite for Attendance
  Some linear and integer programming knowledge

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