The Search for Assembly Line Balance Oriented on the Allocation of Quality Control Points

2020 ◽  
Author(s):  
Sara Bysko ◽  
Jolanta Krystek ◽  
Szymon Bysko ◽  
Krzysztof Majchrowicz
Keyword(s):  
Quality Control ◽  
Assembly Line ◽  
Control Points ◽  
Line Balance ◽  
Assembly Line Balance

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

2014 ◽  
Vol 635-637 ◽  
pp. 1952-1955 ◽  
Author(s):  
Ji Jun Xiao ◽  
Shu Ou ◽  
Qing Hua Zhou ◽  
Hao Dong
Keyword(s):  
Production Line ◽  
Assembly Line ◽  
Mixed Model ◽  
Balance Method ◽  
Line Balancing ◽  
Workplace Design ◽  
Work Processes ◽  
Batch Production ◽  
Line Balance ◽  
Assembly Line Balance

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.

Assembly line balance research methods, literature and development review

2021 ◽  
pp. 1063293X2098791
Author(s):  
Yu-ling Jiao ◽  
Han-qi Jin ◽  
Xiao-cui Xing ◽  
Ming-juan Li ◽  
Xin-ran Liu
Keyword(s):  
Network Structure ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Research Direction ◽  
Development Trend ◽  
Scientific Paper ◽  
Line Balancing ◽  
Line Balance ◽  
Assembly Line Balance ◽  
Solution Methods

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.

Currently practiced formulations for the assembly line balance problem

1983 ◽  
Vol 3 (4) ◽  
pp. 209-221 ◽  
Author(s):  
Richard E Gunther ◽  
Gordon D Johnson ◽  
Roger S Peterson
Keyword(s):  
Assembly Line ◽  
Balance Problem ◽  
Line Balance ◽  
Assembly Line Balance

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

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaorui Shi ◽  
Wei Cui ◽  
Ping Zhu ◽  
Yanhua Yang
Keyword(s):  
Genetic Algorithm ◽  
Clustering Analysis ◽  
Clustering Algorithm ◽  
Assembly Line ◽  
Analysis Method ◽  
Improved Genetic Algorithm ◽  
Line Balance ◽  
Automobile Assembly ◽  
Assembly Line Balance ◽  
Population Clustering

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.

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