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Authors: Cassandra X. H. Tang and Henry C. W. Lau

Affiliation: The Hong Kong Polytechnic University, China

Keyword(s): Global optimization, Supply chain management, Advanced manufacturing technologies.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Industrial Applications of Artificial Intelligence ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Control Systems and Optimization ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Knowledge-Based Systems Applications ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: To respond to the globalization and fierce competition, manufacturers gradually realize the challenge of demanding customers who strongly seek for products of high-quality and low-cost, which implicitly calls for the quality improvement of the products in a cost-effective way. Traditional methods focused on specified process optimization for quality enhancement instead of emphasizing the organizational collaboration to ensure qualitative performance. This paper introduces artificial intelligence (AI) approach to attain quality enhancement by automating the selection of process parameters within the supply chain. The originality of this research is providing an optimal configuration of process parameters along the supply chain and delivering qualified outputs to raise customer satisfaction.

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Paper citation in several formats:
Tang, C. and Lau, H. (2009). A FUZZY-GUIDED GENETIC ALGORITHM FOR QUALITY ENHANCEMENT IN THE SUPPLY CHAIN. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 86-90. DOI: 10.5220/0001865100860090

@conference{iceis09,
author={Cassandra X. H. Tang. and Henry C. W. Lau.},
title={A FUZZY-GUIDED GENETIC ALGORITHM FOR QUALITY ENHANCEMENT IN THE SUPPLY CHAIN},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={86-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001865100860090},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A FUZZY-GUIDED GENETIC ALGORITHM FOR QUALITY ENHANCEMENT IN THE SUPPLY CHAIN
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Tang, C.
AU - Lau, H.
PY - 2009
SP - 86
EP - 90
DO - 10.5220/0001865100860090
PB - SciTePress

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