Abstract: Systems and methods of scheduling tasks and managing computing resource allocation in a closed loop control system is provided. The system uses historical run-time statistics that includes expected run-time (?) and standard-deviation (?) in run-times, of the tasks. The run-time statistics are used by the system to first predictively allocate and then to order the execution of the tasks in order to minimize the make-span. The schedule predicted is a queue of tasks to be executed on each computing resource ordered by a function of the expected run-time (?) and standard-deviation (?). Reactive scheduling involves periodically probing the progress and reacting to imbalances in progress across computing resources by switching tasks between lagging and leading computing resources.

Abstract: Systems and methods of scheduling tasks and managing computing resource allocation in a closed loop control system is provided. The system uses historical run-time statistics that includes expected run-time (?) and standard-deviation (?) in run-times, of the tasks. The run-time statistics are used by the system to first predictively allocate and then to order the execution of the tasks in order to minimize the make-span. The schedule predicted is a queue of tasks to be executed on each computing resource ordered by a function of the expected run-time (?) and standard-deviation (?). Reactive scheduling involves periodically probing the progress and reacting to imbalances in progress across computing resources by switching tasks between lagging and leading computing resources.

Abstract: Disclosed is method and system for continuously re-generating reactive on-line train schedules for trains running in a large railway network. Railway network partitioned based on user configuration, into first type comprising trunk line and feeder line sub-networks, and second type comprising supervisory dispatch control territories. Sense and respond cycle is continuously executed on multi-processor computing environment, senses dynamic data from field about train movements, and other changes from users. For each first type sub-network, degree of deviation is computed from incumbent plans and congestion in sub-networks. Using degree of deviation and congestion, trains are rerouted and suitable scheduling methods are chosen for each sub-network and executed in parallel and first level train schedules are sent to second level train schedulers working on second type sub-networks which in parallel identify and resolve conflicts among first level train schedules.

Abstract: Disclosed is method and system for continuously re-generating reactive on-line train schedules for trains running in a large railway network. Railway network partitioned based on user configuration, into first type comprising trunk line and feeder line sub-networks, and second type comprising supervisory dispatch control territories. Sense and respond cycle is continuously executed on multi-processor computing environment, senses dynamic data from field about train movements, and other changes from users. For each first type sub-network, degree of deviation is computed from incumbent plans and congestion in sub-networks. Using degree of deviation and congestion, trains are rerouted and suitable scheduling methods are chosen for each sub-network and executed in parallel and first level train schedules are sent to second level train schedulers working on second type sub-networks which in parallel identify and resolve conflicts among first level train schedules.

Abstract: The present disclosure relates to a system and a method for vehicle movement modeling in a network. The modeling may be characterized by vehicle related intelligence gathering, processing and dissemination thereof for an adaptive rescheduling of the vehicle movement in the railway network. Predefined data associated with the vehicle in the railway network is acquired and is further processed to resolve one or more conflicts associated with the vehicle movement. The processing may include allocating resources, developing plans for voyages, and continuously gathering deviation data. The vehicle movement modeling may also include generating detailed layouts of vehicle movements for particular time-periods over the railway network.

Abstract: Method(s) and system(s) for managing orders in liner based services are described herein. The method includes receiving a request for booking a shipment order. The shipment order may include booking an empty liner slot and an empty container. The method includes determining, based on an operational plan, temporal and geographical availabilities of empty liner slots and empty containers to promise the request. The operational plan is generated by evaluating availabilities and reservations of the empty liner slots to optimize revenues. Further, the operational plan is generated by performing a configurable search over the multiple dimensions and optimal intra-regional repositioning of empty containers. The method also includes providing a response to the request, based on the determination. Further, the method includes executing the request, upon acceptance of the request and continuous gathering and updating of the status of orders, demands and supplies as well as business parameters.

Abstract: The present disclosure relates to a system and a method for vehicle movement modeling in a network. The modeling may be characterized by vehicle related intelligence gathering, processing and dissemination thereof for an adaptive rescheduling of the vehicle movement in the railway network. Predefined data associated with the vehicle in the railway network is acquired and is further processed to resolve one or more conflicts associated with the vehicle movement. The processing may include allocating resources, developing plans for voyages, and continuously gathering deviation data. The vehicle movement modeling may also include generating detailed layouts of vehicle movements for particular time-periods over the railway network.

Abstract: The present invention relates to a method and system for budget-compliant, fair and efficient manpower management primarily for service industries to improve customer service, save costs, improve employee morale and productivity. More particularly the present invention relates to a system and method enabling labour planners and schedulers to rapidly develop a budget-compliant, fair, effective, easy to use and manageable and deployable manpower schedule to optimize and increase effective manpower productivity. Further the system and method of the present invention generates manpower plans and schedules suitable for deployment, on the basis of two novel criteria's a) compliance of allocations to planned labour budgets while also being driven by business forecasts and b) using several fairness” criteria so that the desirable and undesirable features of the schedules are equitably dispersed.