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Production data analysis system using novel process capability indices-based circular economy

Kuo-Ping Lin (Asia University, Taichung, Taiwan) (China Medical University, Taichung, Taiwan)
Chun-Min Yu (National Chin-Yi University of Technology, Taichung, Taiwan)
Kuen-Suan Chen (National Chin-Yi University of Technology, Taichung, Taiwan) (Asia University, Taichung, Taiwan)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 19 August 2019

Issue publication date: 19 September 2019

650

Abstract

Purpose

The purpose of this paper is to establish mechanisms for process improvement so that production efficiency and product quality can be expected, and create a sustainable development in terms of circular economy.

Design/methodology/approach

The authors obtain a critical value from statistical hypothesis testing, and thereby construct a process capability indices chart, which both lowers the chance of quality level misjudgment caused by sampling error and provides reference for the processes improvement in poor quality levels. The authors used the bottom bracket of bicycles as an example to demonstrate the model and methods proposed in this study.

Findings

This approach enables us to plot multiple quality characteristics, despite varying attributes and specifications, onto the same process capability analysis chart. And it therefore increases accuracy and precision to reduce rework and scrap rates (reduce), increase product availability, reduce maintenance frequency and increase reuse (reuse), increase the recycle rates of components (recycle) and lengthen service life, which will delay recovery time (recovery).

Originality/value

Parts manufacturers in the industry chain can upload their production data to the cloud platform. The quality control center of the bicycle manufacturer can utilized the production data analysis model to identify critical-to-quality characteristics. The platform also offers reference for improvement and adds the improvement achievements and experience to its knowledge management to provide the entire industry chain. Feedback is also given to the R&D department of the bicycle manufacturer as reference for more robust product designs, more reasonable tolerance designs, and selection criteria for better parts suppliers, thereby forming an intelligent manufacturing loop system.

Keywords

Citation

Lin, K.-P., Yu, C.-M. and Chen, K.-S. (2019), "Production data analysis system using novel process capability indices-based circular economy", Industrial Management & Data Systems, Vol. 119 No. 8, pp. 1655-1668. https://doi.org/10.1108/IMDS-03-2019-0166

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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