How to Achieve Production Forecast Optimization of Manufacturing Enterprises Based on Multi-value Chain Collaboration?——An Example of an Electric Power Manufacturing Company
At present,with the adjustment and upgrading of the global industrial chain,it is of great significance to fight the battle of industrial chain modernization in the context of intelligent manufacturing.And the manufacturing industry,as an industry with the production link as the source of the core value chain,how to improve its own production and operation level in the context of intelligent manufacturing and industrial chain upgrading is a key issue that an enterprise is currently facing.Therefore,this paper proposes how to realize the production forecasting optimization of manufacturing enterprises with multi-value chain collaboration.The purpose is to use intelligent computing methods to accurately forecast the production of manufacturing enterprises and provide a reliable basis for the production and operation of manufacturing enterprises.This research can not only improve the effectiveness of future production management.It can also provide an effective reference for enterprises to formulate production decision-making programs and reduce business risks,which is of great significance.This paper investigates the optimization of production forecasting in manufacturing enterprises from the perspective of multi-value chain collaboration.It constructs a three-stage multi-value chain collaborative production forecasting optimization model of Random Forest(RF)-Beetle Antennae Search(BAS)-Convolutional Neural Network(CNN).The data of this paper comes from an electric power manufacturing enterprise in Beijing.First,this paper determines the value chain perspective analysis object of production forecasting in manufacturing enterprises based on the multi-value chain collaborative relationship.Second,the RF is used to screen and reconstruct the influencing factors of the external value chain of the manufacturing enterprise to obtain the comprehensive influencing factors of the external value chain.Third,BAS-CNN is used to construct a production forecasting optimization model for multi-value chain collaboration.The outputs of the model are compared and analyzed with the actual production order quantity and production inventory quantity to analyze whether the model construction can effectively optimize the production forecasting results.Through the results of this paper on production forecast optimization,it can be seen that the forecasting results obtained by considering the collaboration of multiple value chains for production forecasting optimization are more accurate and have lower errors.In addition,through the study of screening and reconstruction of influencing factors,it can be analyzed that the raw material purchase volume in the supply value chain has the most important role.The sales revenue in the marketing value chain has a greater role in influencing.And the number of overhaul of products in the service value chain is the most important factor in this chain.Finally,it can be seen that the model constructed in this paper has a higher forecasting fit and effectiveness.The error obtained is minimal and the model has the effect of achieving forecasting optimization.The results of this paper can significantly improve the accuracy of production forecasting in manufacturing enterprises and achieve production forecasting optimization.It can also more clearly reflect the collaborative change relationship between the value chains of manufacturing enterprises.From a macro perspective,it provides a reference for manufacturing enterprises to analyze the actual situation of different value chains.In the future production and operation process of manufacturing enterprises,external value chain indicators should be controlled within a reasonable range.This will effectively stabilize the production and operation.In addition,it is necessary to reasonably control the factors according to different degrees of importance,and effectively control the management of different value chains.Finally,the production forecasting optimization model proposed in this paper,which considers the multi-value chain collaboration,can better reflect the actual production situation.It helps enterprises to accurately analyze the production changes,and timely adjust the enterprise operational production strategy.
multi-value chain collaborationmanufacturing enterprisesproduction forecastinginternal and external value chains
NETL
NSTL
万方数据
