Enhancing the quality inspection process in the food manufacturing industry through automation

Chengsi Lin; Muhamad Arfauz A. Rahman; Paul G. Maropoulos

doi:10.1109/CoDIT55151.2022.9803939

Enhancing the quality inspection process in the food manufacturing industry through automation

Chengsi Lin, Muhamad Arfauz A. Rahman, Paul G. Maropoulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

202 Downloads (Pure)

Abstract

Automatic inspection system refers to the use of various inspection instruments to measure, indicate or record the main process parameters of the production process system. In the Fourth Industrial Revolution (Industry 4.0) era, competition among enterprises has become increasingly fierce. Most enterprises use automated testing to replace traditional manual testing to improve production efficiency and product quality. This paper investigates the current inspection process in the manufacturing industry. It proposes and designs an automated inspection system for sandwich filling coverage and thickness for sandwich production to replace the original manual inspection. After simulation and comparison of the improved production line, it was finally verified that the modified production line could improve the yield and quality of sandwiches and can help manufacturers save human resources.

Original language	English
Title of host publication	Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	379-384
Number of pages	6
ISBN (Electronic)	9781665496070
DOIs	https://doi.org/10.1109/CoDIT55151.2022.9803939 https://doi.org/10.1109/CoDIT55151.2022.9803939
Publication status	Published - 30 Jun 2022
Event	8th International Conference on Control, Decision and Information Technologies, CoDIT 2022 - Istanbul, Turkey Duration: 17 May 2022 → 20 May 2022

Publication series

Name	International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings
Publisher	IEEE
ISSN (Print)	2576-3547

Conference

Conference	8th International Conference on Control, Decision and Information Technologies, CoDIT 2022
Country/Territory	Turkey
City	Istanbul
Period	17/05/2022 → 20/05/2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Information Systems
Decision Sciences (miscellaneous)
Information Systems and Management
Control and Optimization

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10.1109/CoDIT55151.2022.9803939

Enhancing the quality inspection process in the food manufacturing industry through automation
© 2022 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 686 KBLicence: Unspecified

Cite this

Lin, C., Rahman, M. A. A., & Maropoulos, P. G. (2022). Enhancing the quality inspection process in the food manufacturing industry through automation. In Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies (pp. 379-384). Article 112 (International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT55151.2022.9803939, https://doi.org/10.1109/CoDIT55151.2022.9803939

Lin, Chengsi ; Rahman, Muhamad Arfauz A. ; Maropoulos, Paul G. / Enhancing the quality inspection process in the food manufacturing industry through automation. Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 379-384 (International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings ).

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Lin, C , Rahman, MAA & Maropoulos, PG 2022, Enhancing the quality inspection process in the food manufacturing industry through automation. in Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies., 112, International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings , Institute of Electrical and Electronics Engineers Inc., pp. 379-384, 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022, Istanbul, Turkey, 17/05/2022. https://doi.org/10.1109/CoDIT55151.2022.9803939, https://doi.org/10.1109/CoDIT55151.2022.9803939

Enhancing the quality inspection process in the food manufacturing industry through automation. / Lin, Chengsi ; Rahman, Muhamad Arfauz A.; Maropoulos, Paul G.
Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies. Institute of Electrical and Electronics Engineers Inc., 2022. p. 379-384 112 (International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Automatic inspection system refers to the use of various inspection instruments to measure, indicate or record the main process parameters of the production process system. In the Fourth Industrial Revolution (Industry 4.0) era, competition among enterprises has become increasingly fierce. Most enterprises use automated testing to replace traditional manual testing to improve production efficiency and product quality. This paper investigates the current inspection process in the manufacturing industry. It proposes and designs an automated inspection system for sandwich filling coverage and thickness for sandwich production to replace the original manual inspection. After simulation and comparison of the improved production line, it was finally verified that the modified production line could improve the yield and quality of sandwiches and can help manufacturers save human resources.

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Lin C , Rahman MAA , Maropoulos PG. Enhancing the quality inspection process in the food manufacturing industry through automation. In Proceeding of the 8th 2022 International Conference on Control, Decision and Information Technologies. Institute of Electrical and Electronics Engineers Inc. 2022. p. 379-384. 112. (International Conference on Control, Decision and Information Technologies (CoDIT): Proceedings ). doi: 10.1109/CoDIT55151.2022.9803939, 10.1109/CoDIT55151.2022.9803939

Enhancing the quality inspection process in the food manufacturing industry through automation

Abstract

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Bibliographical note

ASJC Scopus subject areas

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