Study On Production Scheduling Of Glass Backplane For Thin Film Solar Cells

In the production and operation of manufacturing enterprises,production scheduling is one of the core parts.It is the key to improve production efficiency.It is also an important guarantee to effectively reduce the cost and expenditure of enterprises,shorten the production time of products,and achieve rapid delivery.It also plays an important role in promoting other business and management of enterprises.Scheduling in enterprise production is also one of the current academic research issues.From the current academic point of view,most of the research on production scheduling focuses on the typical scheduling problems in the production of enterprises.In the actual production process,the problems of production scheduling are diversified,and the causes of the problems are more complex,even the problems are not typical.Scheduling problem.In this thesis,the production scheduling problem of thin film solar cell glass backplane is one of the special scheduling problems.This problem is also one of the more frequent problems in the production process of thin film solar cell glass backplane.Therefore,it has very important practical significance to study this problem.Based on the research background of the scheduling from glass cutting to fragmentation in the production process of a thin film solar cell glass backplane,the typical scheduling problems in the production process of thin film solar cell glass backplane cutting to fragmentation are analyzed.On this basis,the characteristics of the scheduling problem in the process of cutting thin film solar cell glass backplane into slices are analyzed.The problem is divided into two parts,i.e.basic optimization and membrane exchange optimization.By sorting out the characteristics and operation of genetic algorithm,tabu search algorithm and simulated annealing algorithm,the models of genetic algorithm and tabu search algorithm are established on the basis of determining their applicability.In addition,combining the advantages and disadvantages of the algorithm,the scheduling optimization method is selected by comparing the genetic algorithm and tabu search algorithm.When using genetic algorithm to optimize the production scheduling of thin-film solar cell glass backplane,there may be too much solution space in the basic optimization,so the optimization can be ensured by improving the operators pertinently in the design process,including incorporating competition mechanism in the selection and crossover stages.Show gene preservation.Because the mutation operator needs to be set according to the actual production scheduling of thin film solar cell glass backplane,the diversity of the population is further enriched by increasing the mutation point.When tabu search algorithm is applied to optimize the production scheduling problem of thin film solar cell glass backplane,combined with the actual production,the initial solution is closer to the optimal solution through the combination of the problem,so as to ensure the improvement of the search ability of the algorithm.In addition,in the output of the results,the final results are more representative and optimum through the overall "preferential admission".After the design and optimization,in order to verify the practicability of the design and whether it is operable,the comparative analysis after the solution is carried out by setting strength.In a specific example,different sizes of thin film solar cell glass backs are produced according to customer requirements.Therefore,in the actual case analysis process,combined with the different ways and types of thin film solar cell glass backplane production,through the selection of practical representative cases,two different algorithms are used to solve under the set operating parameters.Finally,the results show that tabu search algorithm has more stable scheduling results than genetic algorithm in the scheduling of thin film solar cell glass backplane cutting to fragmentation production.