A novel fuzzy linguistic model for prioritising engineering design requirements in quality function deployment under uncertainties

The selection of a design for the given product is a critical problem in product design development. Focuses of the designers and customers on the design are not identical. In order to bridge the gap and provide a more relaxing way to select the design, a new method based on quality function deployment (QFD) is proposed. In such a method, customers are required to give their linguistic preferences on the design with respect to the customer requirements (CRs). In the rating of the weight of CRs, they are allowed to provide incomplete linguistic weight information and the objective optimization model is proposed to derive the exact linguistic weight information. Designers are required to rate the correlation between design requirements (DRs) and the relationship between the CRs and DRs to construct the house of quality. Opinions given by the customers are translated into the opinions with respect to the DRs based on the QFD. Afterwards, the priorities of the designs and design requirements are determined. The assessment results not only show the contribution of each design requirement to the customer satisfaction but also show the advantages and disadvantages of each design from the designers’ perspective clearly and directly. An example is provided to validate the applicability of the proposed method.

Download Full-text

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

The TQM Journal ◽

10.1108/tqm-08-2021-0236 ◽

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.

Download Full-text

The Implications of Arrow’s Impossibility Theorem on Approaches to Optimal Engineering Design

Journal of Mechanical Design ◽

10.1115/1.2826864 ◽

1996 ◽

Vol 118 (2) ◽

pp. 161-164 ◽

Cited By ~ 61

Author(s):

G. A. Hazelrigg

Keyword(s):

Quality Management ◽

Total Quality Management ◽

Utility Function ◽

Design Optimization ◽

Engineering Design ◽

Quality Function Deployment ◽

Impossibility Theorem ◽

Total Quality ◽

Quality Function ◽

Optimize Design

Many modern approaches to engineering design seek to optimize design in order to maximize the value of the system to its customers. These approaches rely on the formulation of a system utility function as a measure of system worth. It is shown here that, under certain circumstances, however, such a measure cannot exist. It is then indicated that these circumstances comprise the rule rather than the exception. Finally it is shown that pursuing the objective of design optimization as defined by the customers via contemporary approaches can lead the designer to highly inappropriate and undesirable designs. As a consequence of this, it becomes apparent that the methods of Total Quality Management (TQM) and Quality Function Deployment (QFD) can lead to highly erroneous results.

Download Full-text

Prioritizing design requirements on traditional arrow using quality function deployment

10.1063/5.0000983 ◽

2020 ◽

Author(s):

Fiky Two Nando ◽

Elita Amrina ◽

Alfadhlani

Keyword(s):

Quality Function Deployment ◽

Quality Function ◽

Design Requirements

Download Full-text

Integration of Customer-Product Interaction Into Quality Function Deployment

Volume 7: 28th International Conference on Design Theory and Methodology ◽

10.1115/detc2016-59992 ◽

2016 ◽

Author(s):

Anna Martí Bigorra ◽

Ove Isaksson

Keyword(s):

Customer Satisfaction ◽

Quality Function Deployment ◽

Performance Indicator ◽

Target Population ◽

Product Development Process ◽

Quality Function ◽

Product Usage ◽

Starting Point ◽

Design Requirements ◽

Product Interaction

Customer satisfaction is used by many companies as a key performance indicator and it is strategically important to be able to define design requirements that contribute to customer satisfaction when setting targets. For highly complex products such as vehicles, target setting is an evolving process based on continually changing internal and external requirements. Quality Function Deployment (QFD) is a method that provides a structured approach for incorporating customer needs into the product development process. However, in addition to product targets, product usage proficiency also contributes to customer satisfaction. Customers often do not read manuals; they learn by trying things out and sometimes the use of the product ends up outside the expected acceptable range of the designers, delivering to the customer low product performance. The intention of this article is therefore to gain a deeper understanding of the customer by analyzing customer-product interaction of customer products and integrating it into QFD to identify the most interesting design requirements to improve customer satisfaction when developing products that are comparable to the ones lunched in the market. The proposed method facilitates designer awareness of target population before re-designing an existing product and it helps designers to set a starting point to improve usage proficency for each customer by providing individualized feedback.

Download Full-text