Research On Scheduling Optimization Problem Of Flexible Flow Shop Based On Carbon Emission Model

The greenhouse effect caused by CO2 and other greenhouse gas emissions has made the global climate continue to warm,which has attracted widespread attention.And the carbon emissions caused by the manufacturing industry in the production process are extremely large.Therefore,it is urgent to reduce the carbon emissions of the manufacturing industry.As a form of organization,flexible flow shop is widely used in the manufacturing industry because of their flow-style production methods and the environment containing parallel machines,which greatly improve the fragility of the production system and increase the production efficiency.Discrete or continuous manufacturing enterprises respond to the first choice for mass production of multi-variety products,small batch production and customer customization.Therefore,research on it has great potential to reduce its carbon emissions.This paper focuses on the flexible flow shop scheduling problem,quantifies the carbon emissions in the production process of machined products,and based on this,from the perspective of reducing carbon emissions,using carbon emissions as an evaluation indicator,the low-carbon scheduling strategy and its solution are studied,and at the same time developed and designed a flexible flow shop scheduling optimization system.The specific content mainly includes the following parts:First,according to the analysis of the characteristics of flexible flow shop scheduling,the carbon emissions of the machining workshop produced in the flexible flow shop mode are divided,starting from the product production process,and considering the input and output of the process chain,the carbon emissions of the workshop are taken into account.Emissions are mainly divided into carbon emissions during processing,carbon emissions during transportation,and other carbon emissions.For each part of the carbon emissions,according to the characteristics of each energy consuming system,the carbon emission evaluation function of each energy consuming subsystem is established.Finally,the carbon emission evaluation function of the flexible flow machine processing workshop is constructed by integrating the subsystems.Secondly,based on the establishment of the carbon emission assessment function model,from the perspective of reducing carbon emissions,according to the characteristics and essence of production scheduling,analyze the carbon emissions under different conditions during the operation of the machine tool,and establish a scheduling mathematical model with low-carbon as the optimization objective.This model not only considers the carbon emissions of the handling process that has been less studied in the past,but also considers the carbon emissions of the selected machine tool's switch-on process.At the same time,based on this model,a multi-state replacement energy-saving optimization strategy to reduce carbon emissions during the idle period of machine tools is proposed,and an improved intelligent algorithm is designed to solve the problem.Using relevant cases,the feasibility of the model is analyzed,and the effectiveness of the energy-saving optimization strategy is verified.Finally,on the basis of the carbon emission evaluation function studied in the previous flexible flow machine processing workshop,linking the workshop low-carbon scheduling strategy and optimization solution methods,using MATLAB language and GUI design technology to develop a flexible flow shop scheduling optimization system consistent with the research content of this article.And the system has been tested and analyzed.It is hoped to lay a foundation for the follow-up related further research and provide technical support for the implementation of the application at the same time.