Categorising customers and predicting their buying patterns taking into account the customer evaluation model RFM

Author(s):  
Feisal Alaswad ◽  
B. Muruganantham ◽  
Amer Bouchi
Author(s):  
Yukako Tanaka ◽  
Hideki Aoyama

With the intensification of international competition and diversification of customer tastes, the concept design and architectural design contributing to the function and products of the appearance shape has become an important issue in product development. Therefore, in addition to the manufacturing technology supported by high quality and high performance, the establishment of delight value-added manufacturing technology is required. In recent years, delight design has been attracting attention to create a design that enhances customer satisfaction. Delight design means a design with attractive quality, in addition to the conventional performance quality and must-be quality. However, attractive quality depends on the quality of the designer. Moreover, it is difficult to define such a concept because it is considered to exist in a state similar to an idea, which means that it is vague and difficult to express. Therefore, in this study, we propose a method of constructing a neural network customer value model that creates a product design from KANSEI using customer KANSEI data. Additionally, we propose a method of constructing a neural network customer evaluation model as the inverse model. The customer evaluation model analyzes the KANSEI of individual customers and creates a delight design, which is more appealing to an individual customer. In this study, this proposed method was applied to the side shape of a car’s body and the shape of a beer cup.


2019 ◽  
Vol 4 (5) ◽  
pp. 971-976
Author(s):  
Imran Musaji ◽  
Trisha Self ◽  
Karissa Marble-Flint ◽  
Ashwini Kanade

Purpose The purpose of this article was to propose the use of a translational model as a tool for identifying limitations of current interprofessional education (IPE) research. Translational models allow researchers to clearly define next-step research needed to translate IPE to interprofessional practice (IPP). Method Key principles, goals, and limitations of current IPE research are reviewed. A popular IPE evaluation model is examined through the lens of implementation research. The authors propose a new translational model that more clearly illustrates translational gaps that can be used to direct future research. Next steps for translating IPE to IPP are discussed. Conclusion Comprehensive reviews of the literature show that the implementation strategies adopted to date have fostered improved buy-in from key stakeholders, as evidenced by improved attitudes and perceptions toward interprofessional collaboration/practice. However, there is little evidence regarding successful implementation outcomes, such as changed clinician behaviors, changed organizational practices, or improved patient outcomes. The authors propose the use of an IPE to IPP translational model to facilitate clear identification of research gaps and to better identify future research targets.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.


TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.


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