Approach based on fuzzy goal programing and quality function deployment for new product planning

2017 ◽  
Vol 259 (2) ◽  
pp. 654-663 ◽  
Author(s):  
Liang-Hsuan Chen ◽  
Wen-Chang Ko ◽  
Feng-Ting Yeh
2015 ◽  
Vol 761 ◽  
pp. 594-598
Author(s):  
Syaiful Rizal Hamid ◽  
Boon Cheong Chew ◽  
Muhammad Azfar Abdullah ◽  
Sarah Halim

This paper discusses the development of E-saving glass (ESG) in Malaysia by using quality function deployment (QFD) method for market transformation. This paper focuses on two objectives, i.e., (i) to investigate the suitability of the ESG in Malaysian market for customer satisfaction, product quality and manufacturer competitiveness by using systematic tools of QFD process, and (ii) the implementation of ESG by looking at factors analysis based on QFD method and Malaysian market transformation. The QFD method is utilised by a multidisciplinary team to translate a set of customer requirements (the “voice of customer” (VOC)), market research and technical benchmarking data into an appropriate number of prioritised engineering targets that could be met by a new product design.


Author(s):  
Aboozar Jamalnia ◽  
Hannan Amoozad Mahdiraji ◽  
Mohammad Reza Sadeghi ◽  
Seyed Hossein Razavi Hajiagha ◽  
Ardalan Feili

Companies pursuing extension of their activities and new companies in establishment phase are using various concepts and techniques to consider location decision, because location greatly affects both fixed and variable costs and on the overall profit of the company. This paper suggests a new use of quality function deployment (QFD) for facility location selection problem instead of applying it to traditional product quality promotion. Fuzzy sets concept is also incorporated to deal with imprecise nature of the linguistic judgments of decision makers. First, fuzzy QFD as a stand-alone approach is presented to address international facility location selection decision. To consider resource limitations and operational constraints, fuzzy goal programming is combined with fuzzy quality function deployment to present a developed approach to deal with global facility location-allocation decision. A demonstration of the applicability of proposed methodologies in a real-world problem is presented.


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