Research on Automobile Assembly Line Optimization Based on Industrial Engineering Technology and Machine Learning Algorithm

Aiming at the lack of search depth of traditional genetic algorithm in automobile assembly line balance optimization, an improved genetic algorithm based on bagging integrated clustering is proposed for balance optimization. Through the integrated learning of several K -means algorithm based learners through bagging, a population clustering analysis method based on bagging integrated clustering algorithm is established, and then, a dual objective automobile assembly line balance optimization model is established. The population clustering analysis method is used to improve the intersection link of genetic algorithm to improve the search depth. The effectiveness and search performance of the improved genetic algorithm in solving the double objective assembly line balance problem are verified in an example.

Assembly line balance research methods, literature and development review

With the continuous upgrading of the manufacturing system, the assembly line balancing problem (ALBP) is gradually complicated, and the researches are constantly deepened in the application theory and solution methods. In order to clarify the research direction and development status of assembly line balancing, 89 articles are read and studied. We classify ALBPs to construct the network structure of research from horizontal classification and vertical thinking. The ALBP framework is horizontally given according to the number of models (i.e. the number of products), the layout shape of the assembly line, and the data of task time. The “seven steps for scientific paper” is vertically proposed according to the research steps to comb the research path of scientific and technological literature. The horizontal and vertical extension crosses and constructs the network structure of the ALBP. Any horizontal problem intersects with any step of the vertical “seven steps for scientific paper” to form a research point. We analyze 89 articles according to the development path from the straight line to U-shaped line and then to two-sided U-shaped/parallel U-shaped assembly line, summarize the research algorithm of assembly line balance and count the number of articles, and point out the latest research direction and algorithm development trend of assembly line balance.

Study on Multi-Specification Small-Batch Line Balancing and Optimization Base on the Streamline Balancing

Based on the principal concepts of streamline balance, this paper analyses the issue of the line balancing, through analyzing traditional assembly line balance method and having the bottleneck work processes to amend the parameters of the Workplace design, and then building up a multi-variety small-batch production line balancing mixed-model.

An ALB Model of Eco-Industrial Parks

The design and management of Eco-Industrial Park (EIP) should be conducted based on quantitative analysis. In this paper, A model for EIP decision is developed. Industry ecological chain is introduced into the model, so that the decision in the course of EIP design and management can be formulated as an assembly line balance (ALB) model. It is easy to use, modify, reuse the model, and can be used as the optimization models in EIP decision-making or choosing members. A case study of a prototype EIP in Harbin City in China is illustrated. Two scenarios are studied. The ALB model is solved by LINGO software.