A production optimization model of supply-driven chain with quality uncertainty


Supply-driven chain’s production is different from traditional demand-driven production because its supplies must guide the full production flow toward the markets and respond actively to customer demand. According to the control theory, a novel multi-variable operation model of supply-driven chain is discussed here, integrating suppliers, manufacturers, distributors and market demands. Especially the coordination problem between suppliers and manufacturers is discussed where suppliers play more important role than manufacturers. Because defect is common in real production system, the production operation of supply-driven chain with imperfect quality is described on the basis of fuzzy set to model the ambiguity of quality and to provide appropriate supply coordination mechanism. In a designed numerical example, it is apparent that both response and robustness performances of supply-driven production system on demand with imperfect quality are improved by a fuzzy proportional-integral-differential regulator. The proposed model may apply to similar productions with imperfect quality.

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Corresponding author

Correspondence to Renbin Xiao.

Additional information

This work is supported by the National Natural Science Foundation of China (Grant No. 71171089).

Renbin Xiao obtained his Ph.D. degree in systems engineering from Huazhong University of Science and Technology (HUST), China in 1993. He is currently a professor in the Institute of Systems Engineering, HUST. He is also a Visiting Professor at China Three Gorges University. His research interests include swarm intelligence and emergent computation, modeling and simulation of complex systems, management systems engineering and supply chain management. Professor Xiao has published more than 100 journal papers and 7 books in the above fields. He has won 4 natural science awards from Ministry of Education of China and Hubei Province of China.

Zhengying Cai received the Ph.D. degree in management science and engineering from HUST in 2008. He is currently a postdoctoral researcher in HUST and also a senior engineer, College of Computer and Information Technology, China Three Gorges University, China. His main research interests include supply chain management and operation optimization. In these areas, he has published more than 30 journal papers.

Xinhui Zhang obtained his Ph.D. degree in 2003. He is currently an Associate Professor in Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, Ohio, USA. His research interests include supply chain management, logistics, transportation and optimization. He has published some papers in various international journals.

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Xiao, R., Cai, Z. & Zhang, X. A production optimization model of supply-driven chain with quality uncertainty. J. Syst. Sci. Syst. Eng. 21, 144–160 (2012). https://doi.org/10.1007/s11518-011-5184-8

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  • Supply-driven chain
  • quality
  • production planning
  • fuzzy regulator