Achieving Manufacturing Excellence through Data Driven Decisions

In this paper, we propose a novel way for analysis of manufacturing data related to production of circuit breakers which are critical components of power distribution lines. Typically, the life span of a circuit breaker is of the order of 30 to 40 years. However, certain circuit breakers fail early...

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Bibliographic Details
Main Authors: Kumar, Siddharth Krishna, Jamkhandi, Anirudh Gururaj, Vij, Rahul Kumar, Gugaliya, Jinendra K.
Format: Conference Proceeding
Language:English
Subjects:
Circuit breakers
data analysis
decision tree
Decision trees
Entropy
logistic regression
Logistics
Machine learning
Manufacturing
Na¨ıve Bayes
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Summary:In this paper, we propose a novel way for analysis of manufacturing data related to production of circuit breakers which are critical components of power distribution lines. Typically, the life span of a circuit breaker is of the order of 30 to 40 years. However, certain circuit breakers fail early within short span of 0-5 years and it's important to find out the reasons for early failure of these critical components. In this paper, we propose a systematic approach to look into the manufacturing data to gain insight into the reasons for failures and provide recommendations to the manufacturer for improving the manufacturing process/operations based on these insights. The proposed approach is based on machine learning and data analytics.
ISSN:2643-2978
DOI:10.1109/ICIT.2019.8755118