Study On Multi-objective Shop Production Scheduling Based On Carbon Emission

With the increasing diversification of consumer demand,the market is full of many uncertain factors.The original production mode of the enterprise has not kept up with the trend of the times,which leads to the transformation of the production mode of the enterprise from the production mode of large batch and few varieties to the production mode of multi variety and small batch.In the process of production mode transformation,it is necessary to study workshop scheduling.Choosing a reasonable workshop scheduling scheme can reduce cost and improve productivity and quality.In addition,considering the increasing energy consumption,the impact on the environment cannot be ignored,energy crisis is coming.Saving energy and reducing carbon emission are the inevitable trend of China's economic sustainable development.In this paper,the impeller production in the machining workshop of company A is taken as the research object.Based on the analysis of carbon emissions,a multi-objective production scheduling study on the workshop is carried out.The impeller production task of company A in a certain period of time is selected to study,this paper investigates and analyzes the existing production scheduling,collects relevant data,and draws the Gantt chart of the scheduling scheme.After analyzing the current situation,it is found that the completion time of the existing scheduling scheme is 1597 min,and carbon emission and equipment operation cost are not considered in scheduling scheme.Therefore,in order to solve the problem of current workshop production scheduling,based on the study of workshop carbon emissions and combined with traditional optimization indicators,this paper establishes a multi-objective mathematical model with the objectives of minimizing carbon emissions,minimizing the maximum completion time and minimizing the total cost of equipment operation,and sets certain constraints to improve the accuracy of the mathematical model.In addition,this paper analyzes the common solution methods of shop floor scheduling.Considering the disadvantages of genetic algorithm,such as poor local optimization ability and low solution efficiency,so on the basis of genetic algorithm,simulated annealing algorithm is introduced to design a hybrid genetic simulated annealing algorithm to solve problem.It can be seen that the optimized production scheduling scheme has been reduced in terms of carbon emissions,makespan and total cost of equipment operation.In order to further verify the feasibility of the optimized scheduling scheme,the Flexsim software is used for simulation.The analysis shows that the optimized scheduling scheme is feasible,and the average utilization rate of the equipment is also improved at the same time of achieving the optimization of the objectives.The results show that the multi-objective production scheduling optimization model based on carbon emission can solve the practical problems well,and it is also in line with the development and pursuit of manufacturing industry.In this paper,there are 26 figures,25 tables,74 references.