Optimal examination and prioritization of the factors affecting customers’ satisfaction using integrated Quality Function Deployment (QFD) and Kano’s model: Case study of ’s Refah bank

2012 ◽  
Vol 6 (35) ◽  
Author(s):  
Seyed Masood Seyedi
Keyword(s):  
Quality Function Deployment ◽  
Model Case ◽  
Quality Function ◽  
Factors Affecting ◽  
Kano’S Model

scholarly journals Information Quality Function Deployment

2011 ◽  
pp. 26-51 ◽  
Author(s):  
Latif Al-Hakim
Keyword(s):  
Quality Function Deployment ◽  
Information Quality ◽  
Performance Measure ◽  
Healthcare Industry ◽  
Information Function ◽  
Quality Function ◽  
Factors Affecting ◽  
Initial Stage

This research maps the information quality (IQ) process and finds that the control constituent of the process comprises two types of factors: IQ dimensions and IQ indicators. The latter forms an information performance measure known as ‘information orientation’ that measures the capability of an organisation to effectively manage and use information. This research stresses that the consistency between the two types of factors will improve the IQ function. Based on a case study from the healthcare industry, the research employs a modified quality function deployment (QFD) procedure referred to as information function development (IFD) in an attempt to match IQ dimensions with the IQ indicators in order to identify the most important factors affecting the IQ function deployment. The research is in its initial stage and may include subjective results. However, the methodology used could be further enhanced for more impartial outcomes.

scholarly journals Applying Quality Function Deployment in Open Innovation Engineering

2021 ◽  
Vol 7 (1) ◽  
pp. 26
Author(s):  
Suchada Rianmora ◽  
Siwat Werawatganon
Keyword(s):  
Small Businesses ◽  
Quality Function Deployment ◽  
Production Costs ◽  
Customer Requirements ◽  
Quality Function ◽  
Kano’S Model ◽  
Water Filling ◽  
Do It Yourself ◽  
The Cost

The purpose of the present study was to identify the customer requirements and engineering attribute expectations of an innovative product to which a Kano’s model and quality function deployment (QFD) analysis was applied. In order to accomplish the research, a new water filling machine design was used as the case study. This alternative machine was aimed at making life more convenient and to support people interested in small businesses, since a Do-It-Yourself (DIY) filling machine saved production costs. This research began by classifying the obtained answers from questionnaires into groups. We then conducted a statistical analysis on potential users. The number of elements of the customer requirements was 11 and the number of engineering attributes expected was 5. The customer requirements of the innovated automatic filling machine was quickly identified. The machine, therefore, was designed and evaluated according to the considerations and relationships between customer requirements and engineering characteristics, where the cost and the machining capacity were considered important factors in the analysis.

scholarly journals Quality function deployment: more than a design tool

2019 ◽  
Vol 11 (2) ◽  
pp. 142-166 ◽  
Author(s):  
Nadiye Ozlem Erdil ◽  
Omid M. Arani
Keyword(s):  
Quality Improvement ◽  
Quality Function Deployment ◽  
Design Tool ◽  
Quality Improvements ◽  
Literature Study ◽  
Quality Function ◽  
Content Type ◽  
Study Approach ◽  
Design Activities

Purpose This paper aims to investigate to what extent quality function deployment (QFD) can be used in quality improvement rather than design activities. Design/methodology/approach A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications One case study was completed. More studies would be beneficial to support current findings. Practical implications This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples.

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.

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