A QFD-Based Quality and Capability Design Method for Transboundary Services
| Autor: | Zhong Jie Wang, Chao Ma, Zhiying Tu, Xiao Fei Xu, Weidong Liu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Service (business)
Article Subject business.industry Computer science General Mathematics media_common.quotation_subject 020208 electrical & electronic engineering General Engineering Usability 02 engineering and technology Engineering (General). Civil engineering (General) Competitive advantage Risk analysis (engineering) Software deployment QA1-939 0202 electrical engineering electronic engineering information engineering Unique user 020201 artificial intelligence & image processing The Internet Quality (business) TA1-2040 business Mathematics Quality function deployment media_common |
| Zdroj: | Mathematical Problems in Engineering, Vol 2020 (2020) |
| ISSN: | 1563-5147 1024-123X |
| DOI: | 10.1155/2020/9478083 |
| Popis: | The “transboundary”, an emerging phenomenon in the Internet service ecosystem, is leading to the flourishing of innovative services. A transboundary service incorporates services, resources, and technologies from multiple domains into its business to create a particular competitive advantage and unique user experiences. It is difficult to comprehensively consider all the constraints from multiple domains to precisely design the nonfunctional characteristics of transboundary services, such as quality attributes and capability attributes. We propose a two-phase quality design method for transboundary services called value quality deployment-quality capability deployment (VQD-QCD) based on quality function deployment (QFD). Given the restrictions of transboundary services, VQD-QCD translates the value expectations of multiple stakeholders into an optimal configuration for global quality parameters (GQPs), local quality parameters, and capability parameters. Details of VQD are illustrated. Considering the inherent vagueness and uncertainty of relationships between value expectations and GQPs, and among GQPs, fuzzy least absolute regression and fuzzy nonlinear programming methods are incorporated into QFD to identify the quantitative relations between value indicators and GQPs, and among GQPs, and obtain an optimal configuration scheme for GQPs. Usability of the proposed method is validated through a case study on the “DiDi mobile transportation service”, which is a representative transboundary service in China. Compared with the current method, which is inaccurate and inefficient because its translation between value expectations and relevant quality and capability parameters is artificial and subjective, the proposed method integrates fuzzy least absolute regression and fuzzy nonlinear programming methods into QFD, which facilitate transboundary service designers to precisely and efficiently design the quality and capability characteristics of innovative services in the manner of semiautomatisation, which promotes the innovative design of transboundary services. |
| Databáze: | OpenAIRE |
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