{"title":"客户驱动的智能产品设计质量功能部署方法:自动洗碗机案例","authors":"Decui Liang , Chenghao Ou , Zeshui Xu","doi":"10.1016/j.asoc.2024.112403","DOIUrl":null,"url":null,"abstract":"<div><div>Quality Function Deployment (QFD) is one of the very effective customer-driven product development tools. With automatic dishwashers entering the Chinese market, manufacturers can use QFD to develop products that meet the unique Chinese customer requirements and explore the Chinese market. To help manufacturers maximize profits by developing automatic dishwashers to China’s market situation and competitive environment, this paper proposes an improved QFD model considering competitive learning and cost analysis based on market information analysis with Product Life Cycle (PLC) theory. On the one hand, the improved QFD model determines the life cycle stage of the product by analyzing the characteristics of the market. The improvement rate of customer requirements (CRs) determined by competitive learning in different stages has different influence on the importance weights of CRs, so that the new products developed based on design requirements (DRs) converted from CRs can better adapt to the current market environment. On the other hand, the cost strategy will also change according to different PLC stages. In cost analysis, different cost criteria weights will be determined in different life cycle stages to deal with product development risks in different market environments and help enterprises achieve better sustainable development. Finally, we take Chinese HE company’s automatic-dishwasher design as an example to show the specific application of the proposed model. The proposed model identifies the important DRs and their relative importance ranking for the product development. Comparison with existing QFD models shows the ranking obtained through the model is better integrated with market information, enabling the development of products that are better suited to the market, and helping companies to achieve sustainable development.</div></div>","PeriodicalId":50737,"journal":{"name":"Applied Soft Computing","volume":"167 ","pages":"Article 112403"},"PeriodicalIF":7.2000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A customer-driven quality function deployment approach for intelligent product design: A case of automatic-dishwasher\",\"authors\":\"Decui Liang , Chenghao Ou , Zeshui Xu\",\"doi\":\"10.1016/j.asoc.2024.112403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Quality Function Deployment (QFD) is one of the very effective customer-driven product development tools. With automatic dishwashers entering the Chinese market, manufacturers can use QFD to develop products that meet the unique Chinese customer requirements and explore the Chinese market. To help manufacturers maximize profits by developing automatic dishwashers to China’s market situation and competitive environment, this paper proposes an improved QFD model considering competitive learning and cost analysis based on market information analysis with Product Life Cycle (PLC) theory. On the one hand, the improved QFD model determines the life cycle stage of the product by analyzing the characteristics of the market. The improvement rate of customer requirements (CRs) determined by competitive learning in different stages has different influence on the importance weights of CRs, so that the new products developed based on design requirements (DRs) converted from CRs can better adapt to the current market environment. On the other hand, the cost strategy will also change according to different PLC stages. In cost analysis, different cost criteria weights will be determined in different life cycle stages to deal with product development risks in different market environments and help enterprises achieve better sustainable development. Finally, we take Chinese HE company’s automatic-dishwasher design as an example to show the specific application of the proposed model. The proposed model identifies the important DRs and their relative importance ranking for the product development. Comparison with existing QFD models shows the ranking obtained through the model is better integrated with market information, enabling the development of products that are better suited to the market, and helping companies to achieve sustainable development.</div></div>\",\"PeriodicalId\":50737,\"journal\":{\"name\":\"Applied Soft Computing\",\"volume\":\"167 \",\"pages\":\"Article 112403\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Soft Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1568494624011773\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568494624011773","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
A customer-driven quality function deployment approach for intelligent product design: A case of automatic-dishwasher
Quality Function Deployment (QFD) is one of the very effective customer-driven product development tools. With automatic dishwashers entering the Chinese market, manufacturers can use QFD to develop products that meet the unique Chinese customer requirements and explore the Chinese market. To help manufacturers maximize profits by developing automatic dishwashers to China’s market situation and competitive environment, this paper proposes an improved QFD model considering competitive learning and cost analysis based on market information analysis with Product Life Cycle (PLC) theory. On the one hand, the improved QFD model determines the life cycle stage of the product by analyzing the characteristics of the market. The improvement rate of customer requirements (CRs) determined by competitive learning in different stages has different influence on the importance weights of CRs, so that the new products developed based on design requirements (DRs) converted from CRs can better adapt to the current market environment. On the other hand, the cost strategy will also change according to different PLC stages. In cost analysis, different cost criteria weights will be determined in different life cycle stages to deal with product development risks in different market environments and help enterprises achieve better sustainable development. Finally, we take Chinese HE company’s automatic-dishwasher design as an example to show the specific application of the proposed model. The proposed model identifies the important DRs and their relative importance ranking for the product development. Comparison with existing QFD models shows the ranking obtained through the model is better integrated with market information, enabling the development of products that are better suited to the market, and helping companies to achieve sustainable development.
期刊介绍:
Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities.
Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.