scholarly journals An Extensive QFD and Evaluation Procedure for Innovative Design

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Chang-Tzuoh Wu ◽  
Tien-Szu Pan ◽  
Ming-Hui Shao ◽  
Chang-Shiann Wu
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Evaluation Method ◽  
Design Method ◽  
Evaluation Procedure ◽  
Design Decision ◽  
Innovative Design ◽  
Extension Method ◽  
Major Procedure ◽  
Technical Measures

In this paper, a systematic innovation procedure has been developed based on quality function deployment and extension method. Besides, the evaluation method for design decision making has also been discussed and developed. The major procedure of QFD is to identify the customers’ needs for the product and then convert into appropriate technical measures to fulfill the needs based on the company’s competitive priorities. The priorities of product characteristics can be obtained by translating important technical measures. According to their characteristics, the prior engineering parameters will be identified and selected as the key requirements to redesign. This paper will focus on the integration of QFD and extension method. With the help of “matter element theory and extension method,” customer requirements (CRs) can be transferred into product design attributes more comprehensively and deeply. According to the idea of loss function of Taguchi quality design method, the criteria for design decision making have also been developed in this paper. An innovative design case, bicycle, successfully demonstrates that the proposed design process is feasible and efficient.

A Systematic Approach to Quality Function Deployment with Extension Method

2013 ◽  
Vol 284-287 ◽  
pp. 3637-3641
Author(s):  
Chang Tzuoh Wu ◽  
Nien Te Liu
Keyword(s):  
Quality Function Deployment ◽  
The Elderly ◽  
Design Decision ◽  
Product Characteristics ◽  
Innovative Design ◽  
Extension Method ◽  
Design Attributes ◽  
Major Procedure ◽  
Engineering Parameters ◽  
Technical Measures

The major procedure of QFD is to identify the customers’ needs for the product and then convert into appropriate technical measures to fulfill the needs based on the company’s competitive priorities. The priorities of product characteristics can be obtained by translating important technical measures into product characteristics. According to their characteristics to identify the relevant engineering parameters, the prior engineering parameters will be selected as the key requirements to redesign. This article will concentrate on the creativity way of thinking “matter-element theory and extension method”, with the help of this method to assist to translate customer requirements (CRs) into product design attributes and engineering characteristics (ECs) can provide effect assistance for the designer to conceive new products comprehensively and deeply. The system for design decision-making will be developed and an innovative design case, wheelchair for the elderly, successfully demonstrates that the proposed design process is feasible and efficient.

An Extensive Evaluation Design Approach to Quality Function Deployment

2013 ◽  
Vol 479-480 ◽  
pp. 1197-1201 ◽  
Author(s):  
Chang Tzuoh Wu ◽  
Nien Te Liu
Keyword(s):  
Quality Function Deployment ◽  
The Elderly ◽  
Design Approach ◽  
Evaluation Procedure ◽  
Innovative Design ◽  
Quality Function ◽  
Extension Method ◽  
Extensive Evaluation ◽  
Engineering Parameters ◽  
Problem Solving Process

This research focuses on matter-element theory and extension method, with help of this method; HOQ of QFD can be built more comprehensively and efficiently. Quality function deployment was designed to improve quality in product development. The major procedure of QFD is to identify the customers needs for the product and then convert into appropriate technical measures to fulfill the needs. According to their characteristics to identify the relevant engineering parameters, the prior engineering parameters will be selected as the key requirements to redesign. This study proposes an innovative design and problem-solving process, based on quality function deployment method with the assistances of extension of matter-element. With the help of extension method, customer requirements (CRs) can be translated into product design attributes more widely and engineering characteristics (ECs) can provide effect assistance for the designer to conceive new products comprehensively and deeply. The proposed design evaluation procedure was developed by integrating weighting coefficients of QFD and optimal criteria of extension method. The innovative design case, wheelchair for the elderly, successfully demonstrates the proposed design approach.

scholarly journals A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

Buildings ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 34
Author(s):  
Joas Serugga ◽  
Mike Kagioglou ◽  
Patricia Tzortzopolous
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quality Function Deployment ◽  
Design Decision ◽  
Visual Methods ◽  
Front End ◽  
Multi Attribute Utility Theory ◽  
Limited Application ◽  
Set Based Design

The complexity of construction processes often means interaction between various stakeholders, activities and tasks in order to deliver the expected outcomes. The intensity and dynamics of front-end design (FED) mean decision techniques and methods are important in supporting projects benefits delivery more importantly those based on utility of decision making. This paper explores a new utilitarian decision-making approach based on a systematic literature review of FED decision making. It presents the state of the art in design decision making concepts and analysis of tools over the last 10 years (2009–2019). From a total of 111 peer-reviewed journal papers, fifteen decision-making techniques are identified as dominant in design decision making, broadly grouped in four major categories as explanatory/rational, Multi Criteria Decision Making techniques (MCDM), Hybrid and Visual methods. The review finds that the most applied of the MCDM is Quality Function Deployment (QFD); while among the rational/explanatory techniques is set-based design (SBD). While there is limited application of Multi Attribute Utility Theory (MAUT) in decision making, the paper finds that the robust consistency and structured approach better captures the intricate dynamics of FED; including modelling of the subjectivity, interdependences and uncertainty in design discourse.

The “House of Quality for Behavioral Science”—a user-centered tool to design behavioral interventions

2018 ◽  
Vol 9 (4) ◽  
pp. 810-818 ◽  
Author(s):  
Sarah L Mullane ◽  
Dana R Epstein ◽  
Matthew P Buman
Keyword(s):  
Decision Making ◽  
Correlation Matrix ◽  
Behavioral Interventions ◽  
Quality Function Deployment ◽  
Behavioral Science ◽  
Intervention Design ◽  
Design Decision ◽  
House Of Quality ◽  
Factorial Trial ◽  
User Centered

Abstract Within the behavioral field, a plethora of conceptual frameworks and tools have been developed to improve transition from efficacy to effectiveness trials; however, they are limited in their ability to support new, iterative intervention design decision-making methodologies beyond traditional randomized controlled trial design. Emerging theories suggest that researchers should employ engineering based user-centered design (UCD) methods to support more iterative intervention design decision-making in the behavioral field. We present, an adaptation of a UCD tool used in the engineering field—the Quality Function Deployment “House of Quality” correlation matrix, to support iterative intervention design decision-making and documentation for multicomponent behavioral interventions and factorial trial designs. We provide a detailed description of the adapted tool—“House of Quality for Behavioral Science”, and a step-by-step use-case scenario to demonstrate the early identification of intervention flaws and prioritization of requirements. Four intervention design flaws were identified via the tool application. Completion of the relationship correlation matrix increased requirement ranking variance for the researcher (σ2 = 0.47 to 7.19) and participant (σ2 = 0.56 to 3.89) perspective. Requirement prioritization (ranking) was facilitated by factoring in the strength of the correlation between each perspective and corresponding importance. A correlational matrix tool such as the “House of Quality for Behavioral Science” may provide a structured, UCD approach that balances researcher and participant needs and identifies design flaws for pragmatic behavioral intervention design. This tool may support iterative design decision-making for multicomponent and factorial trial designs.

Towards Managing Long-Term Uncertainties in Product Development

2007 ◽  
Author(s):  
Whitfield J. Fowler ◽  
Kos Ishii
Keyword(s):  
Product Development ◽  
Value Chain ◽  
Customer Value ◽  
Quality Function Deployment ◽  
Net Present Value ◽  
Industrial Ecology ◽  
Design Method ◽  
Design Decision ◽  
Value Chain Analysis

Under increasingly uncertain environment of long term life-cycle costs arising from such causes such as material price increases and carbon regulation, product development design decision makers need an improved method for evaluating project net present value under significant risks. This paper seeks to expose this need for an interdisciplinary design method capable of proactively managing long-term uncertainties and risks. First, the paper provides an overview of trends and uncertainties in material prices and environmental regulations. Second, we highlight a variety of existing work relevant to this research. The third section describes Customer Value Chain Analysis and Quality Function Deployment exercises towards addressing the nature of the challenge at hand. The study found that the primary customers for this research are engineering managers involved in strategic product development decisions. The most important aspects of a new methodology are to identify and characterize the uncertainties specific to a project, and to facilitate modeling. The final section describes a research path leading towards the development of a new design methodology. The paper concludes that a new framework will draw upon a variety of fields including Design For Reliability, Decision Analysis, Industrial Ecology, and Informatics.

A DATA ENVELOPMENT ANALYSIS (DEA) EVALUATION METHOD BASED ON SAMPLE DECISION MAKING UNITS

2010 ◽  
Vol 09 (04) ◽  
pp. 601-624 ◽  
Author(s):  
QUANLING WEI ◽  
HONG YAN
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Evaluation Procedure ◽  
Data Envelopment ◽  
Training Set ◽  
Production Possibility ◽  
Original Definition ◽  
Production Possibility Set ◽  
Decision Making Units

Most of evaluation methods on large number of candidates are based a single criterion. To bring the multiple attribute evaluation method Data Envelopment Analysis (DEA) into evaluating large number of elements, it needs to set up the performance standards and an evaluation procedure by the DEA model. In this paper, we first determine a set of "standard" candidates, called in decision making units (DMUs) in the DEA terminology. This standard set is called "training set". We then establish the evaluation procedure based on this "training set" for measuring a large number of DMUs. We first investigate the efficiency evaluation of a new DMU along with the original definition based on the sum formed production possibility set which is formed by the n DMUs in the training set and the new DMU. We then identify the intersection form of the production possibility set formed only by the n DMUs from the training set. And show that the new DMU evaluation is simply to check if the DMU satisfies a set of linear inequalities. The intersection formed production possibility set formed by the n DMUs from the training set is fixed for evaluating any new DMU. Therefore, it provides an efficient and effective method for dealing with a large amount of data. The method can be regarded as a complementary approach for data mining.

scholarly journals Conceptual Design Evaluation Considering Confidence Based on Z-AHP-TOPSIS Method

2021 ◽  
Vol 11 (16) ◽  
pp. 7400
Author(s):  
Qinghua Liu ◽  
Jiadui Chen ◽  
Weixing Wang ◽  
Qing Qin
Keyword(s):  
Decision Making ◽  
Conceptual Design ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Design Evaluation ◽  
Design Decision ◽  
Concept Design ◽  
Customer Requirements ◽  
Factors Affecting ◽  
Design Scheme

In concept design, effective decision making and management of schemes can shorten the design cycle and improve product quality. The decision maker (DM)’s confidence is one of the critical factors affecting the conceptual design evaluation. Although many studies use quantitative linguistic evaluation for design scheme decision-making, which improves product conceptual design decision-making efficiency and effectiveness, few studies consider the confidence level of a decision. A conceptual design evaluation method based on Z-numbers is proposed to solve this problem, considering the customer requirements and the DM’s confidence. Firstly, the evaluation criteria are determined by analyzing customer requirements; then, the fuzzy analytic hierarchy process in the Z-numbers environment (Z-AHP) is used to determine the criteria weight; Finally, the fuzzy technique for order preference by similarity to ideal solution method in the Z-numbers environment (Z-TOPSIS) is used to evaluate the design schemes to obtain the optimal scheme. The proposed method is applied to the selection of the design scheme of the waste containers in the kitchen. The results show that considering the DM’s self-confidence can achieve a more reasonable and practical evaluation of the conceptual design scheme, and it is easier to obtain the best scheme.

Design Method of Gear Form Grinding Machine Based on QFD and AHP

2014 ◽  
Vol 1027 ◽  
pp. 24-27
Author(s):  
Hui Liang Wang ◽  
Xiao Zhong Deng ◽  
Yu Quan Xiong ◽  
Jian Jun Yang
Keyword(s):  
Decision Making ◽  
Design Method ◽  
House Of Quality ◽  
Large Size ◽  
Form Grinding ◽  
Finishing Process ◽  
Leading Position ◽  
Grinding Machine ◽  
Technical Measures

Form grinding is the most popular finishing process for large-size gear, so the design method of the machine based on QFD and AHP was proposed. First, researched the situation of home and abroad, then analyzed the quality of customer needs and the development of technical measures in order to establish a house of quality. To avoid the blindness of the development and design, really provides a systematic basis for decision making gear form grinding machine in a leading position in the domestic market in the future. Finally, an example is used to demonstrate the feasibility of this approach.

Sign in / Sign up

Export Citation Format

Share Document