Improving the elicitation of critical customer requirements through an understanding of their sensitivity

Sha, Kaixin; Li, Haoran; Wang, Yu; Dong, Yuanyuan; Feng, Jufu; Zhang, Shuang; Chen, Yijiang

doi:10.1007/s00163-023-00410-w

Cited by 3 publications

(2 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the evaluation value of the correlation degree of DR2 relative to DR8 in the four design characteristics is {6, 6, 9, 5} and converted into rough values is { [5,6], [5,6], [8,9], [4,5]}. Then, the element c 28 = ( [5,6] + [5,6] + [8,9] + [4,5])/4 = [3,4].…”

Section: Requirements Importance Determinationmentioning

confidence: 99%

“…Therefore, knowledge base and resource base have become important basic data to promote product innovation design [2]. The product innovation model is gradually shifting from the traditional "passive discovery based on user requirements" to "active acquisition driven by data" [3]. For example, digital design based on industrial Internet and user requirements acquisition driven by review data can effectively compensate for the shortcomings of traditional research methods in terms of efficiency and accuracy [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Acquisition Method of User Requirements for Complex Products Based on Data Mining

et al. 2023

View full text Add to dashboard Cite

The vigorous development of big data technology has changed the traditional user requirement acquisition mode of the manufacturing industry. Based on data mining, manufacturing enterprises have the innovation ability to respond quickly to market changes and user requirements. However, in the stage of complex product innovation design, a large amount of design data has not been effectively used, and there are some problems of low efficiency and lack of objectivity of user survey. Therefore, this paper proposes an acquisition method of user requirements based on patent data mining. By constructing a patent data knowledge base, this method combines the Latent Dirichlet Allocation topic model and a K-means algorithm to cluster patent text data to realize the mining of key functional requirements of products. Then, the importance of demand is determined by rough set theory, and the rationality of demand is verified by user importance performance analysis. In this paper, the proposed method is explained and verified by mining the machine tool patent data in CNKI. The results show that this method can effectively improve the efficiency and accuracy of user requirements acquisition, expand the innovative design approach of existing machine tool products, and be applied to other complex product fields with strong versatility.

show abstract

Section: Requirements Importance Determinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Acquisition Method of User Requirements for Complex Products Based on Data Mining

et al. 2023

View full text Add to dashboard Cite

show abstract

Research Driven by User Demand for the Design of a Cross-Border Travel Credential Bag

Li,

Zhang,

Wen

et al. 2024

Sustainability

View full text Add to dashboard Cite

Cross-border travel often presents challenges in document storage, which can burden travelers. This study addresses the issue by designing a credential bag that enhances safety, convenience, and environmental sustainability. Utilizing design research, we applied the KANO model to categorize user needs, employed analytic hierarchy process to prioritize these needs, and used quality functional deployment to translate them into specific design elements. The KANO model has identified a total of 18 demand indicators, including “must-be”, one-dimensional, and attractive. An analytic hierarchy process analysis of the secondary indicators found that demands for the security of anti-theft, partition storage of documents, a variety of carrying methods and green sustainability have relatively high weight. The innovative solutions derived from the KANO-AHP-QFD model improve design practices and user experience in document storage. This approach offers a scientific and practical reference for the sustainable development of travel supplies and the luggage industry.

show abstract

Opportunities and Challenges of Smart Supply Chain in Industry 5.0

Movahed,

Nozari

2023

Information Logistics for Organizational Empowerment and Effective Supply Chain Management

View full text Add to dashboard Cite

The smart supply chain (SSC) attempts to improve the general concept of the supply chain. The existential philosophy of Industry 5.0 is to develop the previous generation of the industry. Smart supply chain in the Industry 5.0 can be introduced as the Supply Chain 5.0 which includes three essential features. This study aims to review the smart supply chain. For this objective, smart supply chain opportunities (SSCO) and smart supply chain challenges (SSCC) are analyzed based on Industry 5.0. This study explains the industrial revolutions from the first one to the fifth one. In this chapter, SSC and Industry 5.0 are identified and defined briefly. Thus, SSC and Industry 5.0 are connected meticulously. For precise investigation, the opportunities and challenges of SSC are explained. As a result, the conceptual framework has been achieved. Using the Delphi method to reach a consensus of a group of experts to validate the extracted indicators is necessary for this chapter. Finally, the conceptual framework demonstrates a smart supply chain based on Industry 5.0.

show abstract

Improving the elicitation of critical customer requirements through an understanding of their sensitivity

Cited by 3 publications

References 62 publications

Acquisition Method of User Requirements for Complex Products Based on Data Mining

Acquisition Method of User Requirements for Complex Products Based on Data Mining

Research Driven by User Demand for the Design of a Cross-Border Travel Credential Bag

Opportunities and Challenges of Smart Supply Chain in Industry 5.0

Contact Info

Product

Resources

About