Research On The Path Planning Of Traction AGV In Mixed Flow Workshop

In recent years,traditional manufacturing enterprises are gradually realizing the transformation from single product mass production to multi product small batch production.However,for any enterprise,it is impossible to manufacture new production lines unlimited to meet the changing needs of customers,so more and more enterprises begin to realize mixed flow manufacturing,that is,to realize the production of various categories of products without too much change in the production line,such as the current automobile manufacturing industry,engineering machinery industry,etc.Mixed flow manufacturing is a typical dynamic planning problem in academic research.AGV car is a kind of intelligent equipment in manufacturing industry.With the continuous development of automation and artificial intelligence,more and more enterprises begin to introduce AGV car for material distribution online.In the process of development,the workshop has changed from a single AGV to a multi AGV system,from a forklift AGV to a traction AGV with a larger cargo capacity.The characteristics of traction type AGV are large load and flexible number of traction cars,so the research on the path planning of traction type AGV in mixed flow workshop has become a hot topic in recent years.This thesis first analyzes the characteristics and difficulties of logistics planning in the mixed flow manufacturing enterprises,and points out how to plan the vehicle path according to the characteristics of the mixed flow manufacturing enterprises,such as changeable production process,frequent variety switching and process change.This thesis analyzes the different characteristics of forklift AGV and traction AGV,and points out the difficulties in the path planning of traction AGV.Then,the thesis studies the conflict types,common planning algorithms and scheduling methods in the traction AGV system,and establishes the AGV system operation model with the transportation distance and transportation time as the optimization objectives in the context of dynamic objectives.Then,this thesis improves the heuristic algorithm based on path time window,and designs a heuristic algorithm based on node time window to solve the model.The algorithm is more suitable for the characteristics of large freight volume and non negligible body length of the traction AGV.At the same time,considering the transportation distance and transportation time,it optimizes the path of the traction AGV in the mixed flow production workshop.Simulation analysis is carried out to verify the effectiveness of the algorithm.Compared with the traditional algorithm,it improves the efficiency of AGV system effectively.Finally,in the light of the actual production,taking BBA Automobile Co.,Ltd.as an example,BBA Automobile Co.,Ltd.is a famous Sino German joint venture vehicle enterprise,and the automobile manufacturing industry is a typical mixed flow manufacturing enterprise.This thesis analyzes the operation process and current situation of the traction AGV in its body shop,and applies the model and algorithm in the path planning of the traction AGV in its body shop The results show that the model algorithm designed in this thesis has application value in actual production.