A linear goal programming approach to determining the relative importance weights of customer requirements in quality function deployment

2011 ◽  
Vol 181 (24) ◽  
pp. 5523-5533 ◽  
Author(s):  
Ying-Ming Wang ◽  
Kwai-Sang Chin
Keyword(s):  
Goal Programming ◽  
Quality Function Deployment ◽  
Programming Approach ◽  
Relative Importance ◽  
Customer Requirements ◽  
Quality Function ◽  
Importance Weights ◽  
Linear Goal Programming

An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem

2014 ◽  
Vol 13 (02) ◽  
pp. 263-290 ◽  
Author(s):  
Aboozar Jamalnia ◽  
Hannan Amoozad Mahdiraji ◽  
Mohammad Reza Sadeghi ◽  
Seyed Hossein Razavi Hajiagha ◽  
Ardalan Feili
Keyword(s):  
Facility Location ◽  
Goal Programming ◽  
Quality Function Deployment ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Quality Function ◽  
Location Selection ◽  
Location Allocation ◽  
Fuzzy Goal ◽  
Fuzzy Qfd

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.

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

Mapping the customer centric weather index insurance service design using quality function deployment

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Singh ◽  
Gaurav Agrawal
Keyword(s):  
Quality Function Deployment ◽  
Service Design ◽  
Index Insurance ◽  
Importance Rating ◽  
Customer Requirements ◽  
Weather Index ◽  
Quality Function ◽  
Content Type ◽  
Weather Index Insurance ◽  
Design Requirements

PurposeThe present paper aims to propose a framework on weather index insurance (WII) service design by using quality function deployment (QFD).Design/methodology/approachThis study utilizes QFD technique to propose a customer oriented framework on WII service design. In initial phase, customer and design requirements were gathered to derive the relationship between customers' and managers' voice for construct the house of quality (HOQ). Later on, prioritized customer and design requirements as QFD outcome were utilized to develop the action plan matrix in order to suggest the future action plans.FindingsThis study proposed a customer centric framework on WII service design to address the customer requirements. Findings show that adequate claim payments, hassle free prompt claim payment and transparency in losses computation are prioritized customer requirements with highest importance rating, whereas, accurate claim estimation, claim management system and advancement of technology are prioritized service design necessities with highest importance rating.Research limitations/implicationsThe proposed WII service design can enhance the quality of WII service by attain the higher standards of WII service in order to completely satisfy the customers.Practical implicationsThe proposed WII service design can provide a solution to the problems faced by WII industry by improve the customer's service experience and satisfaction.Originality/valueBased on best of author's knowledge, this paper first proposed a framework on WII service design by integrating customer and design requirements by using QFD.

Application of QFD in the Design of Fire Main Fight Vehicles

2013 ◽  
Vol 694-697 ◽  
pp. 2729-2732
Author(s):  
Wu Ba Zhu
Keyword(s):  
Correlation Matrix ◽  
Quality Function Deployment ◽  
Customer Requirements ◽  
Ahp Method ◽  
Quality Function

Quality function deployment (QFD) is a powerful tool of the customer requirements into technical characteristics. With QFD, the design of fire main fight vehicles can be expressed more credibility via the correlation matrix. After the client important degree is calculated through AHP method, requirement is deployed and correlation matrix is built, the requirement important degree is decided. And an example is presented to express and verify the method. It shows that the method is simple and reflects the requirement of users.

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