Framework for benchmarking the development process using fuzzy hybrid QFD
Pravin Kumar Mishra,
Shashank Chandra and
Tarun Soota
International Journal of Process Management and Benchmarking, 2025, vol. 21, issue 1, 30-42
Abstract:
Customer expectations often get lost in the intricacies of the complicated development process. It is necessary to establish a structural framework of the development process for benchmarking the allocation of resources. The strategic development process can play a significant role to leverage the market resources. The development process needs to be optimised within the feasibility framework for sustainable growth. Complex process involves measurement of imprecise characteristics due to uncertainties or vague information. The proposed work attempts to structure the relationship between the objectives and criteria using a integrated hybrid framework of fuzzy quality function deployment (FQFD) and analytical hierarchy process (FAHP). The integrated approach determines the prioritised technical attributes based on requirements of the customer. The proposed approach is illustrated by an empirical Indian case study for feasibility evaluation and effectiveness. The benefit cost study is conducted to benchmark the customer attributes for various alternatives.
Keywords: benchmarking; house of quality; HOQ; quality function deployment; QFD; fuzzy analytical hierarchy process; FAHP; triangular fuzzy number; MCDM. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=147974 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:30-42
Access Statistics for this article
More articles in International Journal of Process Management and Benchmarking from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().