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A new classified scheduling method based on the controlled Petri net and GASA was proposed to the job-shop scheduling problem (JSP) with multiple disturbances constrained by machines, workers. Firstly, a Petri net with controller is modeled, it not only has the modeling capability of a traditional Petri net, but also it can depict system characteristics, such as equipment maintenance, different types...
A Petri net with controller is used to model discrete events in flexible job shop scheduling with results obtained based on genetic algorithm and simulated annealing algorithm (GASA), and the method is developed to address the dynamic scheduling problem with dual-resource constraints and multiple disturbances in manufacturing systems. The objective of scheduling problems is to minimize make-span,...
An approach using the concept of self-adapted hybrid genetic algorithm (AGASA) is proposed as a powerful but simple means to optimize job scheduling in distributed manufacturing system (DMS). A directed graph model is developed to describe the characteristics of DMS. The superiority of the proposed algorithm is illustrated by computing result with pattern of GANTT graph, and the results are compared...
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