Quality function deployment: exploiting interrelationships for progressive prioritization

Sharma, Jitendra

doi:10.1108/tqm-06-2020-0121

Cited by 4 publications

(2 citation statements)

References 103 publications

(119 reference statements)

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“…Using the QFD approach, customer needs may be transformed into actions that can TQM 35,8 be implemented. Due to this, the methodology is well known in the conventional product development process (Bottani and Rizzi, 2006;Liu, 2009;Sharma, 2020). The core concept of QFD is to turn customer preferences into technical qualities, which are then translated into part specifications, process designs and production requirements (Mehrjerdi, 2010).…”

Section: Quality Function Deployment (Qfd)mentioning

confidence: 99%

An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

Sharma

Tripathy²

2023

TQM

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PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.

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Section: Quality Function Deployment (Qfd)mentioning

confidence: 99%

An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

Sharma

Tripathy²

2023

TQM

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“…Kaya and Erginel (2020) developed a design on airport service quality using fuzzy QFD. Sharma (2021) developed a method for prioritization of customer and design requirements using QFD.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Singh

Agrawal

2022

TQM

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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.

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Enhancing quality requirements management in retailing industry: The role of Quality Function Deployment

Pacheco,

Caetano,

Bonato

et al. 2023

BIJ

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PurposeSmall retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.Design/methodology/approachBased on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.Findings The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.Practical implications Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.Originality/value This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.

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Quality function deployment: exploiting interrelationships for progressive prioritization

Cited by 4 publications

References 103 publications

An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

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

Enhancing quality requirements management in retailing industry: The role of Quality Function Deployment

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