Scheduling Algorithms To Optimize Energy Consumption In Tire Curing Workshop

"Since demand for energy is sharply increased and the price of energy resources rise intensely, energy gradually becomes a key factor for manufacturing enterprises. To reduce the cost of production for high energy consumption industry, such as cement and steel by reducing energy consumption is of great significance, production scheduling, as the main part of enterprise schedule organization, becomes an important technical means for enterprise production organization, resource allocation optimization, production efficiency promotion. Currently, domestic study for production scheduling aiming at energy consumption reduction has just started. Based on the tire vulcanization workshop, a class of non identical parallel machine scheduling problem is abstracted, in this paper. By taking the tardiness costs and energy costs into consideration, a non identical energy consumption cost optimization of parallel machine scheduling model is established and optimized. On this basis, heuristic rules and heuristic rules based genetic algorithm for solving the energy consumption model are used respectively. Finally, the model is applied to the practical production scheduling of vulcanizing workshop in Fengli rubber tire company in Guangzhou, and good results are achieved.In this paper, based on energy optimization of scheduling research significance and development of low carbon manufacturing and energy saving scheduling, the following contents are studied:INon identical parallel machine scheduling problem aiming at energy optimization is analyzed. Anon-identical parallel machine scheduling problem mathematical model based on the energy consumption cost and tardiness cost objectives is constructed. The model depicts the tire enterprise energy distribution, energy consumption factors in manufacturing, power consumption in vulcanization and other factors, and provide a theoretical basis for the afterwards research.2An algorithm based on heuristic rules is used to solve the non identical parallel machine scheduling problem aiming at energy optimization, where three kinds of algorithms based on the priority heuristic rules are used. Aiming at energy consumption cost as the goal of the optimization model, A heuristic algor, proposed based on the rule of the machine energy consumption to optimize the ml In order to validate the algorithm, a simulation example is designed to simulate model, and the simulation results verify the rationality and validity of the present model.3For vulcanizing workshop scheduling problem of energy optimization, a genetic algorithm based on heuristic rules in order to test the influence of different heuristic rules using4types of genetic algorithm are initialized to the performance of genetic algorithm. The result is compared with the ordinary genetic algorithm based on sequence, and the design of a large number of simulation experiments. Experimental results show the superiority of the use of rules for hybrid genetic algorithm initial population compared with the ordinary genetic algorithm. In addition, the energy optimization model is applied to the vulcanization workshop production scheduling process, the experimental results show that, the energy optimal scheduling model can effectively reduce the energy cost of manufacturing process.