Fault Detection Using Human–Machine Co-Construct Intelligence in Semiconductor Manufacturing Processes

Ranjit, Manish; Gazula, Harshvardhan; Hsiang, Simon M.; Yu, Yang; Borhani, Marcus; Spahr, Sonny; Taye, Leyikun; Stephens, Chris; Elliott, Bart

doi:10.1109/tsm.2015.2432770

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…Most batch-scheduling issues in production and logistics were resolved by utilizing deterministic parameters. Stochastic optimization is the most popular approach for solving problems with uncertain parameters [12]. Figure 3.1 describes the overall technique of data miming in production management.…”

Section: 25mentioning

confidence: 99%

Big Data Analysis and Deep Learning Optimization in Artificial Intelligence Production of Information Enterprises

Gao,

2024

SCPE

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Intelligent manufacturing technology is required to upgrade existing enterprises' management and production operations. To construct a ground breaking fusion structure, this project unites the theoretical underpinnings, technical breakthroughs, and applications of data analytics, optimisation, and intelligent production engineering. It is driven by China's desire of cutting-edge commodities and efficient growth methods. This research establishes the broad framework for merging optimisation and data analytics. There is a list of data analytics and system optimisation technologies that can address important challenges with intelligent manufacturing. By integrating data analytics and optimisation, businesses may better forecasting and management of new terrain, as well as reveal hidden information to increase decision-making efficacy.

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Section: 25mentioning

confidence: 99%