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Authors: Trishen Naidoo 1 ; Anthony Walker 1 ; Glen Bright 1 and Shaniel Davrajh 2

Affiliations: 1 University of KwaZulu-Natal, South Africa ; 2 University of Johannesburg, South Africa

Keyword(s): Fuzzy Logic Control, Manufacturing Lead Time, Quality Control.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Control ; Fuzzy Systems ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Quality Control and Management ; Soft Computing

Abstract: Varied inspection is an online dynamic inspection method where the amount of parts inspected can be changed based on the quality of the part stream and characteristics of the production system. The research outlines the development of a supervisory and distributed Fuzzy Logic Controller (FLC) to perform varied inspection. The supervisory fuzzy controller was used to tune the weights of the rules used in the distributed fuzzy controller that initiates the varied inspection in quality control systems. Simulation of a single-station manufacturing cell showed that varied inspection had significantly reduced Manufacturing Lead Time (MLT) through reduced inspection, which could help manufacturers handle fluctuating demands. The contribution of the study was to illustrate the benefit of varied inspection through MLT reduction and to add flexibility to control architectures for quality control systems to aid manufacturers meet demands.

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Paper citation in several formats:
Naidoo, T.; Walker, A.; Bright, G. and Davrajh, S. (2017). Fuzzy Logic Control for Varied Inspection for Manufacturing Lead Time Reduction - A Fuzzy Control Implementation of a Dynamic Inspection Technique to Reduce Manufacturing Lead Time. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-263-9; ISSN 2184-2809, SciTePress, pages 207-214. DOI: 10.5220/0006395902070214

@conference{icinco17,
author={Trishen Naidoo. and Anthony Walker. and Glen Bright. and Shaniel Davrajh.},
title={Fuzzy Logic Control for Varied Inspection for Manufacturing Lead Time Reduction - A Fuzzy Control Implementation of a Dynamic Inspection Technique to Reduce Manufacturing Lead Time},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2017},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006395902070214},
isbn={978-989-758-263-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Fuzzy Logic Control for Varied Inspection for Manufacturing Lead Time Reduction - A Fuzzy Control Implementation of a Dynamic Inspection Technique to Reduce Manufacturing Lead Time
SN - 978-989-758-263-9
IS - 2184-2809
AU - Naidoo, T.
AU - Walker, A.
AU - Bright, G.
AU - Davrajh, S.
PY - 2017
SP - 207
EP - 214
DO - 10.5220/0006395902070214
PB - SciTePress

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