Abstract: A method, system and computer program product for generating an optimized solution for a process in a manufacturing under a set of constraints. A solution is evaluated under the set of constraints and first violation metrics and first states corresponding to one or more solution elements are generated, based on at least one constraint. At least one candidate solution is generated from the solution. Thereafter, the candidate solution is evaluated at one or more change-points and the solution elements positioned subsequent to the change points. Subsequently, the candidate solution is accepted based on the acceptance criterion. The selected candidate solution is then evaluated again a pre-defined number of times to generate the optimized solution.

Abstract: A method and system for generating/regenerating a schedule of a set of events associated with at least one process in a manufacturing plant in real time. The schedule is generated/regenerated on the basis of the occurrence of one or more events associated with various processes in real time. The occurrence of each of the events is monitored continuously. Thereafter, the occurrence of the monitored events is predicted for one or more predefined instances of time. The schedule is optimized on the basis of the predicted occurrences of the monitored events to generate/regenerate the schedule. The optimized schedule may be used to control one or more automatons.

Abstract: A method, system and computer program product for generating an optimized solution for a process in a manufacturing under a set of constraints. A solution is evaluated under the set of constraints and first violation metrics and first states corresponding to one or more solution elements are generated, based on at least one constraint. At least one candidate solution is generated from the solution. Thereafter, the candidate solution is evaluated at one or more change-points and the solution elements positioned subsequent to the change points. Subsequently, the candidate solution is accepted based on the acceptance criterion. The selected candidate solution is then evaluated again a pre-defined number of times to generate the optimized solution.