A scheduling method for IOT-aided packaging and printing manufacturing system

Abstract

To meet the demand of effective control of production in packaging and printing industry, this paper proposes a manufacturing-assist system based on Internet of Things (IOT) techniques. The system is composed of reliable network connection with wireless mesh networks and widely deployed sensor nodes. With smart sensing, transmission and processing for the states of manufacturing facilities, products and production procedures, the system can exert efficient surveillance and control over the manufacturing procedure. Based on this system, this paper further designs a method for scheduling subtasks both among facilities and inside each facility. The method is implemented by Genetic Algorithm for optimization objectives such as minimizing overall production delay and minimizing overall production cost. Simulation and on-spot experiment in enterprise showed the superiority of the method for the optimization objectives.