Open AccessCase Study on Fuzzy Blitz Quality Function Deployment
Author(s) -
Eslam A. Nawar,
Soheir Backar,
Mohamed Eldardiry
Publication year - 2018
Publication title -
archive-sr
Language(s) - English
Resource type - Journals
eISSN - 2537-0162
pISSN - 2537-0154
DOI - 10.21625/archive.v2i3.366
Subject(s) - quality function deployment , fuzzy logic , software deployment , house of quality , function (biology) , computer science , order (exchange) , quality (philosophy) , process management , operations research , risk analysis (engineering) , systems engineering , engineering , operations management , business , artificial intelligence , software engineering , service quality , marketing , philosophy , value engineering , customer retention , finance , epistemology , evolutionary biology , biology , service (business)
Organizations strive to develop their products in a way that fulfils customers’ requirements and increases their satisfaction. The traditional Quality Function Deployment (QFD) is a popular technique for that purpose but it has some drawbacks. To tackle these drawbacks, the researchers will implement Blitz QFD a modern model of the traditional one and integrate it with fuzzy logic through a case study on the development of a cargo tricycle. This model provides a leaner approach that captures the most critical requirements of customers in order to implement them and provides more reasonable values as a result of using fuzzy logic.