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Background: In today's competitive industrial landscape, companies are focusing on developing diverse product portfolios to maintain a competitive edge. This trend has led to the adoption of product portfolio strategies aimed at enhancing customer satisfaction and optimizing resource utilization. Methods: This study introduces a model to enhance the design of weather radar products by integrating DEMATEL and Goal Programming (GP). The methodology involves identifying key indicators of variety in weather radar design, assessing component interdependencies, and determining component weightage for optimal functionality and cost-effectiveness. Results: The DEMATEL and GP approach proved effective in optimizing the product family structure for weather radar systems. Key results include the identification and prioritization of variety indicators, evaluation of component interdependencies, and determination of component weightage, resulting in a more precise and operational design. Conclusions: The proposed model for weather radar variety enhances customer satisfaction, meets market demands, and addresses the challenges of dynamic customer needs. This methodology offers valuable insights into managing product variety and complexity, enabling designers to quickly adapt to evolving customer requirements.
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Objective To identify and analyze the key factors affecting the use behavior of elderly patients with smart medical services by taking the smart medical system of a top-three hospital as an example,so as to provide a basis for promoting the use of smart medical services for elderly patients and the age-appropriate transformation of smart medical services.Methods The factors influencing the use behavior of elderly patients with smart medical services were analyzed,and correlation analysis of factors influencing the use behaviour of elderly patients with smart medical services were analyzed by DEMATEL method.Results The centrality and causation of all influencing factors were calculated,and the key influencing factors affecting the use behavior of elderly patients with smart medical services were identified.Among them,the main factors of reason degree are the hospital's willingness to adapt to aging transformation,the influence of key population and relevant national policy support,and the main factor of center degree is the perceived cost of patients.Conclusion The perceived cost of elderly patients can be reduced by improving the smart medical service,enhancing the health information literacy of elderly patients and giving full play to the social support effect,so as to promote the use behavior of elderly patients'smart medical services.
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Objective @#This study aimed to explore the influencing factors of dynamic changes in traditional Chinese medicine (TCM) constitution based on general statistics, Apriori-DEMATEL algorithm, and DoWhy causal inference framework methods.@*Methods@#Dynamic collection of TCM constitution identification data was conducted from the population aged 18 − 60, containing collection time and constitution type, and 11 constitution influencing factors including dietary habit, sleeping habit, sleeping duration, exercise habit, emotion state, stress level, living environment, work/life calamity, family atmosphere, business trip frequency, and overtime situation. General statistical analysis was used to analyze the relative percentage of corresponding influencing factors of different types of constitution changes, the Apriori-DEMATEL algorithm was used to analyze the correlation between 11 constitution influencing factors such as dietary habit and constitution changes, and the DoWhy causal inference framework was used to analyze the causality between dietary habit,sleeping habit, sleeping duration, exercise habit, emotion state, and stress level, explore the frequency of constitution type transformation-change factors, and determine the key influencing factors causing dynamic changes in constitution type.@*Result@#After preprocessing, 13536 valid data points were obtained. Based on the Apriori-DEMATEL algorithm, the factors were divided into six original factors including dietary habit, sleeping habit, sleeping duration, exercise habit, emotion state, and stress level, and five result factors includ ing living environment, work/life calamity, family atmosphere, business trip frequency, and overtime situation. Combining with general statistics, we found that among the original factors, changes in dietary habit, sleeping habit, sleeping duration, and stress level had a greater impact on other factors. In the process of constitution conditioning, attention should be paid to these four factors to maintain constitution balance. Among the five resultfactors, the absolute values of work/life calamity and family atmosphere were relatively large, indicating that these two factors were easily influenced by other factors. The dietary habit,sleeping habit, sleeping duration, exercise habit, emotion state, and stress level have higher centrality in changes, indicating that these six factors had important in constitution changes. According to the statistical frequency of constitution changes corresponding to each factor, we found that the changes of these six factors accounted for a large proportion of the constitution transformation frequency among Qi deficiency constitution, balanced constitution, and allergic constitution, indicating that the changes of these six factors played an important role in the changes of the three constitution types. Combined with the results of the Apriori-DEMATEL algorithm, and DoWhy causal inference framework analysis, it was inferred that dietary habit and sleeping duration indirectly lead to constitution changes by affecting the changes of other factors.@*Conclusion@#This study explored the influencing factors of dynamic changes in TCM constitution from the perspective of dynamic data and multiple analysis methods, and the results showed that the changes of dietary habit, sleeping habit, sleeping duration, exercise habit, emotion state, and stress level had a great impact on the changes of Qi deficiency constitution, balanced constitution and allergic constitution. Attention should be paid to the changesof these six factors in daily life, and corresponding improvement plans should be formulated to reduce the probability of transforming into biased constitution. Our study also provided data support and objective analysis reference for the analysis of influencing factors of dynamic changes in TCM constitution types.
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Mass customization (MC) offers tailor-made services to customers and necessary for industries in current global competition. However, implementation of MC is at nascent stage particularly in consumer electronics. This study investigates barriers in adoption of MC in context with developing economies such as India. There are quite a few barriers which may affect implementation of MC. Through literature survey and experts' opinion 15 barriers has been identi?ed. DEMATEL method was used to ?nd cause-effect relationship between these barriers. Also most signi?cant barriers has been identi?ed as Lack of ?nancial support, Lack of awareness of use of Information Technology in MC, Not availability of machines supporting MC, Lack of support from top management, and Lack of trained & skilled manpower. This study guides policy maker and managers in understanding the challenges in implementation of MC in emerging economies.