The Customer Satisfaction Evaluation and Fuzzy Adaptive Control in the Supply Chain

The satisfaction of ultimate customer can measure with four gross criteria in the supply chain, and can subdivide into ten sub-criteria. Customer satisfaction mainly performs from customer, so there is certain preference as a weight to each criterion. The weight is difficult to focus on one point, but can establish the scope generally. Moreover, the decision maker has certain preference to each criterion according to the supply chain characteristics. In this paper, an overall evaluation of customer satisfaction in the supply chain on condition of the weight scope is researched by multiple criteria decision making theories and statistics. Moreover a fuzzy customer satisfaction adaptive control method based on the customer satisfaction model is presented in the supply chain.

[1]  Didier Dubois Fuzzy sets and systems , 1980 .

[2]  Jyh-Horng Chou,et al.  Stability analysis of the discrete Takagi-Sugeno fuzzy model with time-varying consequent uncertainties , 2001, Fuzzy Sets Syst..

[3]  Shaocheng Tong,et al.  Fuzzy adaptive control for a class of nonlinear systems , 1999, Fuzzy Sets Syst..

[4]  Jun-min Hu,et al.  Fuzzy adaptive control for a class of nonlinear systems , 2009, 2009 Chinese Control and Decision Conference.

[5]  Jyh-Horng Chou,et al.  Stability analysis of the discrete Takagi-Sugeno fuzzy model , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[6]  Marco Saerens,et al.  Fuzzy adaptive control of a certain class of SISO discrete-time processes , 1997, Fuzzy Sets Syst..

[7]  Yuan Xue,et al.  FUZZY ADAPTIVE CONTROL BASED ON L-R FUZZY NUMBER AND APPLICATION IN THE PENSION SYSTEMS , 2004 .

[8]  Frederick Newell,et al.  Loyalty.com: Customer Relationship Management in the New Era of Internet Marketing , 2000 .

[9]  Sridhar Seshadri,et al.  Information Sharing in a Supply Chain Under ARMA Demand , 2005, Manag. Sci..

[10]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[11]  Wenjie Wang,et al.  An adaptive control method for time-varying systems , 2000, Eur. J. Oper. Res..

[12]  Christoph Schneeweiss,et al.  Hierarchical coordination mechanisms within the supply chain , 2004, Eur. J. Oper. Res..

[13]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.