Manufacturing decision scheme based on grey prediction and AHP

Abstract

In order to promote carbon reduction in the manufacturing industry, measures have been taken to promote the low-carbon transformation of the manufacturing industry, and then promote the harmonious development of the economy and ecology. Data were found from bp World Energy Statistical Yearbook and CEADs database, and the method of gray prediction was used to predict the carbon emissions in the coming years. At the same time, measures were found by finding literature, and the implementation order of measures was finally determined according to their AHP model. It was found that the carbon emissions in 2022 are estimated to be 10179.18 million tons, and the carbon emissions in 2023 are estimated at 10213.53tn, which shows that the carbon emissions in the next few years are at a high level, so as a high carbon emission manufacturing industry must take measures. According to data search and expert opinions, we can determine the weight and calculate the final measures that need to be taken to focus on process optimization, raw material substitution, low-carbon travel of enterprise personnel, etc. Through the estimation of future carbon emissions and the decision model of measures, we can find that the manufacturing industry, as a large part of carbon emissions, has high economic, environmental and social benefits after taking effective actions.