Data analytics for quality management in Industry 4.0 from a MSME perspective

Sariyer, Gorkem, Mangla, Sachin Kumar, Kazancoglu, Yigit, Ocal Tasar, Ceren and Luthra, Sunil (2021) Data analytics for quality management in Industry 4.0 from a MSME perspective. Annals of Operations Research. ISSN 2545330 (In Press)

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Advances in smart technologies (Industry 4.0) assist managers of Micro Small and Medium Enterprises (MSME) to control quality in manufacturing using sophisticated datadriven techniques. This study presents a 3-stage model that classifies products depending on defects (defects or non-defects) and defect type according to their levels. This article seeks to detect potential errors to ensure superior quality through machine learning and data mining. The proposed model is tested in a medium enterprise—a kitchenware company in Turkey. Using the main features of data set, product, customer, country, production line, production volume, sample quantity and defect code, a Multilayer Perceptron algorithm for product quality level classification was developed with 96% accuracy. Once a defect is detected, an estimation is made of how many re-works are required. Thus, considering the attributes of product, production line, production volume, sample quantity and product quality level, a Multilayer Perceptron algorithm for re-work quantity prediction model was developed with 98% performance. From the findings, re-work quantity has the highest relation with product quality level where re-work quantities were higher for major defects compared to minor/moderate defects. Finally, this work explores the root causes of defects considering production line and product quality level through association rule mining. The top mined rule achieves a confidence level of 80% where assembly and material were identified as main root causes.

Item Type: Article
Keywords: MSME | Machine Learning | Re-Work and Root Causes of Defect | Association Rule Mining | Industry 4.0 | Quality Control and Manufacturing
Subjects: Social Sciences and humanities > Business, Management and Accounting > General Management
JGU School/Centre: Jindal Global Business School
Depositing User: Amees Mohammad
Date Deposited: 02 Feb 2022 06:27
Last Modified: 13 Jun 2022 11:33
Official URL:


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