Research Article
Mathematical Analysis on Troubleshooting Problem During
Bin Zhao1* and Xia Jiang2
1School of Science, Hubei University of Technology, Wuhan, Hubei, China
2Hospital, Hubei University of Technology, Wuhan, Hubei, China
Bin Zhao, School of Science, Hubei University of Technology, Wuhan, Hubei, China.
Received Date:November 12, 2022; Published Date:January 11, 2023
Abstract
Mathematics is closely related to people’s daily lives, such as the various shapes that can be seen everywhere, and the various distance relationships. Similarly, industrial production is inseparable from mathematics. The problem of nesting is a representative planning problem in industry and is widely used in the fields of construction, clothing, machinery and wood. With the development of computers, the nesting problem has been significantly improved by relying on the emergence of some intelligent algorithms. However, at the beginning of the problem, establishing a reasonable mathematical model is an essential step. This article summarizes the common mathematical models in the troubleshooting problem and analyzes the advantages and disadvantages during COVID-19 pandemic.
Keywords:Nesting; Mathematical models; Troubleshooting problem
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Bin Zhao* and Xia Jiang. Mathematical Analysis on Troubleshooting Problem During. Annal Biostat & Biomed Appli. 5(1): 2023. ABBA.MS.ID.000602.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.