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Article
Publication date: 9 October 2007

Paulo Augusto Cauchick Miguel

The purpose of this paper is to investigate whether the use of quality function deployment (QFD) may contribute to developing innovative products. Its point of departure…

Abstract

Purpose

The purpose of this paper is to investigate whether the use of quality function deployment (QFD) may contribute to developing innovative products. Its point of departure is the author's earlier research that investigated the application of QFD to product development in companies operating in Brazil.

Design/methodology/approach

A case study approach with companies from different industries is employed in this paper. A questionnaire was used to gather data from four companies by checking some aspects of QFD projects with regard to innovation. Typical QFD projects with respect to product typology (platform or derivative) and their level of complexity are also analysed.

Findings

The main results indicated that QFD may assist in developing innovative products, but is limited to additions to existing lines, product repositioning, and product improvement.

Research limitations/implications

One constraint was the limited number of companies and projects analysed so that replications among other samples are needed to validate current findings.

Originality/value

Although QFD is extensively explored in the literature, this paper is one of the few published studies that report and discuss the relationship between QFD and innovation.

Details

The TQM Magazine, vol. 19 no. 6
Type: Research Article
ISSN: 0954-478X

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Article
Publication date: 1 March 2000

Vivianne Bouchereau and Hefin Rowlands

Quality function deployment (QFD) is a management tool that provides a visual connective process to help teams focus on the needs of the customers throughout the total…

Abstract

Quality function deployment (QFD) is a management tool that provides a visual connective process to help teams focus on the needs of the customers throughout the total development cycle of a product or process. It provides the means for translating customer needs into appropriate technical requirements for each stage of a product/process‐development life‐cycle. It helps to develop more customer‐oriented, higher‐quality products. While the structure provided by QFD can be significantly beneficial, it is not a simple tool to use. This article outlines how techniques such as fuzzy logic, artificial neural networks, and the Taguchi method can be combined with QFD to resolve some of its drawbacks, and proposes a synergy between QFD and the three methods and techniques reviewed.

Details

Benchmarking: An International Journal, vol. 7 no. 1
Type: Research Article
ISSN: 1463-5771

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Book part
Publication date: 29 March 2016

Marc Wouters, Susana Morales, Sven Grollmuss and Michael Scheer

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product…

Abstract

Purpose

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

Methodology/approach

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

Findings

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

Research limitations/implications

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

Originality/value

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

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Article
Publication date: 1 December 2020

Ajit Kumar Singh and A.M. Rawani

This study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to…

Abstract

Purpose

This study aims to integrate the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method with quality function deployment (QFD) which helps to improve the weight of technical attributes by calculating the closeness of particular attributes with the best attributes and farthest from the worst technical attributes simultaneously.

Design/methodology/approach

For the fulfilment of the aim of the study, detailed literature is reviewed and a suitable tool for score calculation has been selected. Further, the proposed methodology is applied in a literature-based case study, and a new weight is calculated and compared with the previous weight.

Findings

The finding of the study suggests that higher weightage is assigned to those technical attributes which is very close to the best technical attribute, and lower weightage is assigned to the technical attributes which are very close to worst technical attributes. Therefore, the weight calculated with the help of the proposed methodology will suggest to optimally invest the resources on technical attributes so that the maximum customer satisfaction is achieved.

Practical implications

The proposed method will help in better score calculation of QFD. Therefore, the use of the proposed method will help in better product and service design for maximum customer satisfaction.

Social implications

Proposed methodology aims to help managers, administrators, QFD practitioners and product/service designers to design a new product/service or mange the quality of existing product/services in an effective way.

Originality/value

This is the first kind of study, in which modification in score calculation has been proposed. This modification will help in the better assignment of resources for maximum customer satisfaction.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 15 September 2020

Jitendra Sharma

The purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs…

Abstract

Purpose

The purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.

Design/methodology/approach

After a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.

Findings

Through the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.

Practical implications

The illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.

Originality/value

The research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.

Details

The TQM Journal, vol. 33 no. 3
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 6 December 2019

Serkan Altuntas and Semih Kansu

The purpose of this paper is to propose an innovative and integrated approach based on service quality measurement (SERVQUAL), quality function deployment (QFD) and…

Abstract

Purpose

The purpose of this paper is to propose an innovative and integrated approach based on service quality measurement (SERVQUAL), quality function deployment (QFD) and failure modes and effects analysis (FMEA) for service quality improvement.

Design/methodology/approach

The SERVQUAL scale is used for service quality measurement, QFD is used for service design and FMEA is used to prevent possible failures during service delivery.

Findings

A case study in a public hospital in Turkey is performed to show how the proposed approach works in practice. The results of the study show that the proposed approach can be used effectively to assess service quality in practice.

Originality/value

Service quality has become an important issue for service enterprises facing a fiercely competitive environment to provide sustainability. This is the first study that applies an integrated methodology based on SERVQUAL scale, QFD and FMEA to service quality improvement.

Details

Kybernetes, vol. 49 no. 10
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 December 2004

Lawrence P. Chao and Kosuke Ishii

To provide an advanced product definition methodology based on quality function deployment (QFD) principles to identify minimize the risks of project failures due to…

Abstract

To provide an advanced product definition methodology based on quality function deployment (QFD) principles to identify minimize the risks of project failures due to failure to align with the voice of the business. The methodology was developed by reviewing current design product definition and QFD tools and then applied to a number of industry‐based design projects in academia as well as an in‐depth case study at one industry organization. The tool has been well accepted for its ease and approach in both industry and academic environments and already used to help guide project management. The methodology has only been applied to limited projects in industry and advancements and improvements are still being made. A new simple but powerful tool based on QFD principles that can be readily applied to a number of current design projects; in addition, it demonstrates how the QFD method can be expanded to non‐traditional domains and systems. This paper not only identifies current product development issues but also explores a practical and proven solution to error‐proof the design process.

Details

International Journal of Quality & Reliability Management, vol. 21 no. 9
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 1 February 2003

Yoji Akao and Glenn H. Mazur

Quality Function Deployment (QFD) has been practiced by leading companies around the world since 1966. Its two‐fold purpose is to assure that true customer needs are…

Abstract

Quality Function Deployment (QFD) has been practiced by leading companies around the world since 1966. Its two‐fold purpose is to assure that true customer needs are properly deployed throughout the design, build and delivery of a new product, whether it be assembled, processed, serviced, or even software, and to improve the product development process itself. This paper describes the evolution of the method, its current best practice, and proposals for future direction, not only to log its history and key players correctly, but also to convey the richness and depth of the applications throughout multiple industries.

Details

International Journal of Quality & Reliability Management, vol. 20 no. 1
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 23 October 2009

Ying‐Chin Ho and Chih‐Hsin Lin

The problem that original design manufacturing (ODM) companies encounter with the request for quotation (RFQ) process is that there is no effective and efficient…

Abstract

Purpose

The problem that original design manufacturing (ODM) companies encounter with the request for quotation (RFQ) process is that there is no effective and efficient methodology for them to formulate accurate and profitable RFQs. The purpose of this paper is to present a quality function deployment (QFD)‐, concurrent engineering (CE)‐, and target costing‐based methodology for ODM companies to formulate accurate and profitable RFQs.

Design/methodology/approach

From eight Taiwan electronics ODM companies, 15 people are interviewed to understand their current methods for formulating RFQs and the problems of these methods. Based on the interview results, it was decided to make use of the merits of QFD, CE, and target costing by integrating them into the proposed methodology.

Findings

A case study is presented to illustrate a successful application of the proposed methodology in a case company. The case study shows integrating QFD, CE, and target costing into the proposed methodology allows the authors to effectively and efficiently formulate an accurate and profitable RFQ for the case company.

Research limitations/implications

The interview sample quantity of this study is limited to eight Taiwan electronics companies, which is insufficient to represent all ODM companies in various industries. For the future research, it is suggested researchers collect more samples from different industries in order to verify the effectiveness of the proposed methodology in ODM companies from different industries.

Originality/value

This paper aims to integrate QFD, CE, and target costing to come up with a systematic ten‐step approach that can accurately formulate the three parts of an RFQ: the product specifications proposal, the product price quotation, and the product development schedule. By adopting this methodology, ODM companies can provide accurate and profitable RFQs to ODM customers, thus increasing their chances of obtaining ODM business.

Details

Journal of Manufacturing Technology Management, vol. 20 no. 8
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 10 May 2019

Fatemeh Shaker, Arash Shahin and Saeed Jahanyan

The purpose of this paper is to propose an integrative approach for improving failure modes and effects analysis (FMEA).

Abstract

Purpose

The purpose of this paper is to propose an integrative approach for improving failure modes and effects analysis (FMEA).

Design/methodology/approach

An extensive literature review on FMEA has been performed. Then, an integrative approach has been proposed based on literature review. The proposed approach is an integration of FMEA and quality function deployment (QFD). The proposed approach includes a two-phase QFD. In the first phase, failure modes are prioritized based on failure effects and in the second phase, failure causes are prioritized based on failure modes. The proposed approach has been examined in a case example at the blast furnace operation of a steel-manufacturing company.

Findings

Results of the case example indicated that stove shell crack in hot blast blower, pump failure in cooling water supply pump and bleeder valves failed to operate are the first three important failure modes. In addition, fire and explosion are the most important failure effects. Also, improper maintenance, over pressure and excess temperature are the most important failure causes. Findings also indicated that the proposed approach with the consideration of interrelationships among failure effects, failure mode and failure causes can influence and adjust risk priority number (RPN) in FMEA.

Research limitations/implications

As manufacturing departments are mostly dealing with failure effects and modes of machinery and maintenance departments are mostly dealing with causes of failures, the proposed model can support better coordination and integration between the two departments. Such support seems to be more important in firms with continuous production lines wherein line interruption influences response to customers more seriously. A wide range of future study opportunities indicates the attractiveness and contribution of the subject to the knowledge of FMEA.

Originality/value

Although the literature indicates that in most of studies the outcomes of QFD were entered into FMEA and in some studies the RPN of FMEA was entered into QFD as importance rating, the proposed approach is a true type of the so-called “integration of FMEA and QFD” because the three main elements of FMEA formed the structure of QFD. In other words, the proposed approach can be considered as an innovation in the FMEA structure, not as a data provider prior to it or a data receiver after it.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 8
Type: Research Article
ISSN: 0265-671X

Keywords

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