Open AccessResearch on prefabricated component production line mold platform combination method
Author(s) -
Zhonghua Han,
Lingfeng Yu,
Bo Li,
Yingyong Qi
Publication year - 2022
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 - 10.1088/1742-6596/2187/1/012059
Subject(s) - backtracking , component (thermodynamics) , production (economics) , computer science , apriori algorithm , process (computing) , set (abstract data type) , production line , a priori and a posteriori , manufacturing engineering , industrial engineering , association rule learning , mathematical optimization , algorithm , engineering , data mining , mathematics , mechanical engineering , operating system , philosophy , physics , epistemology , programming language , economics , macroeconomics , thermodynamics
In traditional prefabricated component manufacturing enterprises, there are often problems such as low utilization rate of the platform surface due to poor production plans of the enterprise, resulting in waste of production resources and low production capacity of the enterprise. In order to solve the problem of mold platform combination allocation in the production process of prefabricated component manufacturers, a mold platform combination allocation method based on the combination of machine learning and backtracking is proposed. The backtracking method is used to search for the theoretical best fit combination result, and the improved BL is used. The positioning algorithm simulates the placement process of the mold on the platform, and uses the Apriori algorithm to train the obtained data set to obtain the association rules contained in the frequent item set. When the enterprise re-produces, the prefabricated components are combined according to the association rules for production, and the utilization rate of the platform is improved. The simulation test is carried out with the example data of the prefabricated component manufacturing enterprise, which verifies the effectiveness of the combination allocation method of mold and platform combined with the backtracking method and the Apriori algorithm to solve the problem.