Logistics customer service is an important factor in the success of supply chain management. The aim of this study is to propose a novel approach for customer service management. For the improvement of logistics service operations, the proposed method integrates quality function development (QFD), fuzzy extended analytic hierarchy process (FEAHP), and multi-segment goal programming (MSGP). The advantage of the method includes the consideration of various logistics goals and the flexibility of setting multi-aspiration levels of evaluation criteria.
Quality Function Deployment (QFD) is a quality management tool that transmits customer requirements into product design or innovation process to improve products’ customer satisfaction. For the first time, this paper points out the distortions of customer requirements existing in the transmission process of QFD that are caused by the methods for calculating the importance degree of output information. The distortions lead to the designed or innovated product meeting less important customer requirements, without meeting more important customer requirements, so products’ customer satisfactions are decreased. In order to avoid the distortions, a new method for calculating the importance degree of output information is proposed and an example is illustrated to demonstrate the effectiveness and superiority of the new method.
Berzelius failed to make use of Faraday's electrochemical laws in his laborious determination of equivalent weights.