Open AccessSimulation and optimization of a factory automation production line based on Plant Simulation
Author(s) -
S. Luo,
Songqing Cen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1820/1/012172
Subject(s) - production line , factory (object oriented programming) , automation , production (economics) , line (geometry) , computer science , function (biology) , simulation modeling , genetic algorithm , assembly line , industrial engineering , manufacturing engineering , engineering , mathematics , machine learning , mechanical engineering , geometry , mathematical economics , evolutionary biology , biology , economics , macroeconomics , programming language
Model an automated production line in a factory in order to understand and improve the automated production line. The layout and function of this automated production line were simulated on Plant Simulation, and the statistical results were obtained according to the actual situation. According to the results, the shortcomings of the production line were analyzed, an optimization method was proposed, and the results were simulated again by using genetic algorithm for comparison.