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| Product Quality Management Based on Complex Networks Theory |
| WANG Fuhong, GUO Jinli, SUO Qi, ZHANG Qian
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| Business School, University of Shanghai for Science and Technology, Shanghai 200093, China |
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Abstract The paper proposes a weighted network which regards the potential quality failure factor as a node and the relationships between the potential quality failure factors as edges. We study the topology structure of the weighted network. The results show that the network is scale-free. According to vertex strength, cluster coefficient, betweenness and eigenvector, we find the important quality control points. We combine complex network theory with the qualitative quality tools such as fishbone diagram and FMEA. We can effectively find the key quality failure factors and make up the inadequacy of FMEA so that the key point of quality control is easily caught and the quality prevention and improvement is implemented. We provide a new perspective to study quality prevention and improvement, and improve the efficiency of zero defect quality management system and the effect of total quality management.
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Received: 14 January 2014
Published: 25 February 2025
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