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 tlaeory, a novel multi-variable operation model of supply-driven chain...

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Bibliographic Details
Published inJournal of systems science and systems engineering Vol. 21; no. 2; pp. 144 - 160
Main Authors Xiao, Renbin, Cai, Zhengying, Zhang, Xinhui
Format Journal Article
LanguageEnglish
Published Heidelberg SP Systems Engineering Society of China 01.06.2012
Springer Nature B.V
Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China%Department of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH 45435, USA
Subjects
Complexity
Control theory
Coordination
Economic Theory/Quantitative Economics/Mathematical Methods
Engineering
Fuzzy sets
Operations Research/Decision Theory
Optimization models
Proportional integral
Robustness (mathematics)
不确定性
优化模型
供应链协调
市场引导
模糊建模
生产系统
质量缺陷
需求驱动
Supply-driven chain
fuzzy regulator
production planning
quality
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Summary: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 tlaeory, 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 imoerfect quality.
Bibliography:11-2983/N
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 tlaeory, 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 imoerfect quality.
Supply-driven chain, quality, production planning, fuzzy regulator
ISSN:1004-3756
1861-9576
DOI:10.1007/s11518-011-5184-8