REINFORCEMENT LEARNING APPROACH TO ADAPTIVE MAINTENANCE SCHEDULING IN SEMICONDUCTOR MANUFACTURING

Mykhaylov M., Wang A. REINFORCEMENT LEARNING APPROACH TO ADAPTIVE MAINTENANCE SCHEDULING IN SEMICONDUCTOR MANUFACTURING // Universum: технические науки : электрон. научн. журн. 2025. 3(132). URL: https://7universum.com/ru/tech/archive/item/19517

Authors

Andi Wang
Michael Mykhaylov

Publication Details

Journal: Universum Technical sciences
Published: 2025-03-28
DOI: https://doi.org/10.32743/unitech.2025.132.3.19517
Primary Topic: Industrial Vision Systems and Defect Detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

REINFORCEMENT LEARNING APPROACH TO ADAPTIVE MAINTENANCE SCHEDULING IN SEMICONDUCTOR MANUFACTURING

Andi Wang, Michael Mykhaylov

Mar 28, 2025

Universum Technical sciences

Industrial Vision Systems and Defect Detection

article

REINFORCEMENT LEARNING APPROACH TO ADAPTIVE MAINTENANCE SCHEDULING IN SEMICONDUCTOR MANUFACTURING

Andi Wang, Michael Mykhaylov

March 28, 2025article en

Abstract

Universum Technical sciencesVol. 132(3)

Openalex Percentile: Top 87%

Industrial Vision Systems and Defect Detection

DOI Open Access PDF OpenAlex

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REINFORCEMENT LEARNING APPROACH TO ADAPTIVE MAINTENANCE SCHEDULING IN SEMICONDUCTOR MANUFACTURING — Andi Wang, Michael Mykhaylov · Universum Technical sciences (2025) | TGRS Research Map | TGRS