scholarly journals Innovative Design Strategy Based on Customer Requirements

2014 ◽  
Vol 8 (1) ◽  
pp. 930-935
Author(s):  
Chen Wang ◽  
Wu Zhao ◽  
Zhiyong Wang ◽  
Kai Zhang ◽  
Xiaolong Li ◽  
...  
Keyword(s):  
Quality Function Deployment ◽  
Design Model ◽  
Design Stage ◽  
Customer Requirements ◽  
Feature Mapping ◽  
Innovative Design ◽  
Innovative Solutions ◽  
Innovative Solution ◽  
User Demand ◽  
Technical Features

Enterprises face increasing challenge in the designing stage which needs to turn the customer’s needs into technical characteristics. In order to enhance the competitiveness of products, a demand-oriented innovative design model was proposed. This model integrates user demand accessing, technology feature mapping, quality function deployment and innovative solutions generation. During the design stage, designers need to match the acquired customer requirements to corresponding technical features, then apply House of Quality (HOQ) for building the mapping of user requirements to the technical features, analyzing the correlation and weights, and then with the aid of the theory of inventive problem solving (TRIZ) to resolve corresponding technical contradictions. Finally, an innovative solution of car steering demonstrated the feasibility of the demand-oriented innovative design model.

Design Model Applied to the Design of Production Machines

1999 ◽  
Author(s):  
B. H. de Roode ◽  
H. A. Crone
Keyword(s):  
Computer Program ◽  
Conceptual Design ◽  
Specific Model ◽  
Computer Support ◽  
Design Model ◽  
Design Stage ◽  
Multiple Views ◽  
General Design ◽  
The Past ◽  
Design Activities

Abstract This paper describes a general design model that serves as a base for computer-support in the conceptual design stage. The model consists of a model of the artefact to be designed, design activities and knowledge. The artefact model contains multiple views, each highlighting a certain aspect of the design. Design activities are performed to create this model and knowledge describes information generated in the past that can be reused. The general design model has been used to develop a specific model for the design of production machines. This specific model has been implemented in a prototype computer-program and has been evaluated within several companies. The results are promising and show that designers gain new insights by using the model.

Service quality function deployment by the C-shaped QFD 3D matrix

2018 ◽  
Vol 25 (9) ◽  
pp. 3386-3405 ◽  
Author(s):  
Maryam Hassani ◽  
Arash Shahin ◽  
Manouchehr Kheradmandnia
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Customer Requirements ◽  
Content Type ◽  
Process Characteristics ◽  
The Matrix ◽  
3D Matrix ◽  
Simultaneous Comparison

Purpose The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively. Design/methodology/approach A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank. Findings Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively. Research limitations/implications While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes. Originality/value Compared to the studied literature, the proposed approach is practically new in the post bank services.

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.

scholarly journals Adaptive Technology Training of Human Capital for the Mining Industry

2020 ◽  
Vol 174 ◽  
pp. 04010
Author(s):  
Vadim Mikhalchenko ◽  
Irina Seredkina
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Technological Process ◽  
Quality Function Deployment ◽  
Mining Industry ◽  
Original Method ◽  
Customer Requirements ◽  
Knowledge And Skills ◽  
Adaptive Technology ◽  
The University

In the article the original method Quality Function Deployment in relation to the preparation of University specialists with higher education. The method is based on the process of a phased conversion of customer requirements in specific organizational, substantive and functional transformation of the technological process of the University. The ultimate goal of these reforms - training knowledge and skills which meet the requirements and expectations of the customers of universities - enterprises of the mining industry.

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.

Sensitivity Analysis of Relative Worth in Empirical and Simulation-Based QFD Matrices

2008 ◽  
Author(s):  
Robins M. Kalapurackal ◽  
Shun Takai
Keyword(s):  
Cost Reduction ◽  
Quality Function Deployment ◽  
Development Process ◽  
Rating Scales ◽  
Rating Scale ◽  
Calculation Scheme ◽  
Product Development Process ◽  
Customer Requirements ◽  
Design Changes ◽  
Simulation Based

Quality function deployment (QFD) is one of the most popular tools used in the product development process. It relates customer requirements to product requirements and enables engineers to determine which product requirement is more important than the others in satisfying customers. Some of the benefits of QFD are cost reduction, fewer design changes at the start of production, and improved communication among engineers. QFD applications use various approaches (i.e., worth calculation schemes and rating scales) to calculate the worth of requirements. The purpose of this paper is to study the change in the relative worth (normalized worth) of product requirements yielded by different rating scales and calculation schemes. We studied empirical and simulation-generated QFD matrices to determine how calculation schemes and rating scales influence the relative worth of requirements. Two representative scales and two calculation schemes are used to find the most and least sensitive cases, and the influence of the number of rows and columns in the relative worth of requirements. From the results, we identified the least sensitive and most sensitive combination of calculation scheme and rating scale. We also learned that QFD matrices become less sensitive to changes in rating scale and calculation scheme as the number of columns increases.

scholarly journals Interval Type-2 Fuzzy Multiattribute Group Decision-Making for Logistics Services Providers Selection by Combining QFD with Partitioned Heronian Mean Operator

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-25
Author(s):  
Hui Zhang ◽  
Hui Gao ◽  
Peide Liu
Keyword(s):  
Quality Function Deployment ◽  
Group Decision ◽  
Customer Requirements ◽  
Logistics Service ◽  
Logistics Services ◽  
Processing Abilities ◽  
Interval Type ◽  
Customers Perspective ◽  
Heronian Mean

Logistics service (LS) has key impacts on customers’ satisfaction. Quality function deployment (QFD) can guarantee that logistic services provider’s (LSP) attributes are in accordance with the customer’s preferences for the LS. The partitioned Heronian mean (PHM) operator assumes that all attributes are partitioned into several clusters. Herein, the attributes in the same clusters are interrelated, while the attributes in different clusters are independent, and the operator can be utilized to solve LSP selection (LSPS) problems in which all attributes are partitioned into several clusters. Interval type-2 fuzzy sets (IT2FSs) can more competently express the ambiguity and vagueness and have more powerful processing abilities. In this paper, we propose a novel LSPS method from the customers’ perspective by combining QFD with the PHM operator in IT2FSs environments. First, we develop the interval type-2 fuzzy PHM (IT2FPHM) operator and the interval type-2 fuzzy weighted PHM (IT2FWPHM) operator and discuss some properties of them. Then, based on the relationships between the customer requirements (CRs) and the technical attributes (TAs), QFD is utilized in order to convert the CRs for LS concerns into multiple attributes for LSP’s TAs. Finally, a case of a fresh E-business LSPS is used in order to demonstrate the validity and rationality of the proposed method, and some comparisons are used in order to show the superiority of the proposed method.

Developing House of Quality by integrating top roof and side roof matrices and service TRIZ with a case study in banking services

2016 ◽  
Vol 28 (4) ◽  
pp. 597-612 ◽  
Author(s):  
Arash Shahin ◽  
Elham Bagheri Iraj ◽  
Hossein Vaez Shahrestani
Keyword(s):  
House Of Quality ◽  
Customer Requirements ◽  
Correlation Matrices ◽  
Banking Services ◽  
New Approach ◽  
Content Type ◽  
Innovative Solution ◽  
The Voice ◽  
Voice Of Customers

Purpose – The purpose of this paper is to propose an innovative solution for prioritizing “Whats” and “Hows” and resolving contradictions among “Whats” in House of Quality (HoQ). Design/methodology/approach – Prioritization of the influence of the weights in correlation matrices of “Whats” and “Hows” (i.e. top roof and side roof) of HoQ and integration with TRIZ contradiction matrix have been studied. Explained through a case example of banking services, initially, contradictions among requirements of 180 customers have been identified by side roof matrix and then, the 12 by 12 non-technical contradictions matrix of service TRIZ have been used to suggest principles for resolving contradictions. Findings – Findings imply that the use of roof and side roof weights can influence the priorities of “Whats” and “Hows.” Research limitations/implications – Findings may assist researchers and practitioners in resolving ambiguity of the voice of customers, which in turn make the results of HoQ more accurate. Originality/value – A new approach has been proposed in this paper for resolving contradictions of customer requirements by service TRIZ and adjusting priorities of “Whats” and “Hows” in HoQ.

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