Rating engineering characteristics in open design using a probabilistic language method based on fuzzy QFD

Li, Shipei; Tang, Dunbing; Wang, Qi

doi:10.1016/j.cie.2019.06.008

Cited by 34 publications

(14 citation statements)

References 43 publications

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“…To overcome the referred difficulty, a comprehensive linguistic-based foundation has been proven intuitively for constructing the PPHoQ [33][34][35]. Linguistic expressions are considered to be natural representations of unreliable or inexact preferences; these expressions include dissatisfied, fair, and satisfied [36,37].…”

Section: Constructing the Pphoq In Qfdmentioning

confidence: 99%

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

Wang

Chen

Garg

et al. 2022

Complex Intell. Syst.

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For continuous growth and sustaining the competitiveness of a company, product developers spend most of their time making crucial decisions to address a great variety of unpredictable and uncontrollable information. Several mathematical approaches have already been adopted to aid the developers in selecting the best product concept for meeting customers’ requirements and exceeding their expectations. However, those methods do not cope with fully revealed developers’ preferences and do not take into account the random distribution of the target values of engineering characteristics (ECs). In this paper, the application of a quality function deployment (QFD)-based model and a stochastic dominance-based method is presented for product concept development. The first phase in the approach is to construct a product planning house of quality (PPHoQ), which is the core and the engine of the entire QFD model. This model depicts the relationship between the customers’ requirements (CRs) and the ECs for a product. The proposed approach addresses both the relationships between CRs and ECs, in addition to the correlations among the ECs. In this study, developers are invited to express their preferences using different types of linguistic terms dependent on their diverse backgrounds and understanding levels of the product. Based on the outcomes of the PPHoQ process, a variety of alternative concepts can be created. The alternatives are then prioritized and ranked in the second phase. The proposed approach facilitates the random distribution with stochastic variables rather than fuzzy methods to obtain more realistic product concept alternatives. Several examples and comparative results further illustrate that unbalanced linguistic terms and stochastic dominance efficiently endow the product concept selection model with uncertain information and the random distribution in a realistic style.

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Section: Constructing the Pphoq In Qfdmentioning

confidence: 99%

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

Wang

Chen

Garg

et al. 2022

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…20 QFD has also been integrated with a probabilistic approach to rate engineering characteriscs. 21 Eleftheriadis et al combined BIM with QFD to support decision-making in building structural design. 22 QFD was used by Bolar et al to prioritize infrastructure user expectations.…”

Section: Quality Function Deploymentmentioning

confidence: 99%

A Safety Function Deployment Approach to Risk Management of HazMat Highway Transportation

Zhigerbayeva

Yang

2021

ACS Chem. Health Saf.

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Various methods have been developed to ensure the safe transportation of hazardous materials (HazMat). These methods span from conventional statistical methods to modern risk management approaches. An essential question is how to establish the linkages between the regulatory requirements and the safety measures. The analysis of historical data from the past accident report databases would limit our focus on the specific incidents and their causes. Thus, we may overlook some critical elements in risk management, including regulatory compliance, expert opinions, and suggestions. It is necessary to develop a systematic approach that can translate the regulatory requirements of HazMat transportation into specified safety measures (both technical and administrative) to support the risk management. This study develops a structured and transparent method that integrates the quality function deployment (QFD) and risk assessment, namely, safety function deployment (SFD), to identify potential risks and find critical safety barriers for HazMat highway transportation. The proposed method is demonstrated by a hypothetical case study. The approach can serve as a tool to map the safety requirement into specific safety barriers to minimize the risk of HazMat highway transportation.

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“…Haktanır and Kahraman (2019) have suggested a novel Pythagorean fuzzy QFD method and its application for the development of solar photovoltaic; in this paper, it is suggested to calculate all the calculation of QFD with the help of Pythagorean fuzzy theory for handling the linguistic part of human judgement. Li et al (2019) have incorporated the probabilistic language method based on fuzzy QFD for the calculation of the weight of technical attributes.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving the weight of Technical Attributes in Quality Function Deployment by the Integration of Techniques for Order of Preference by Similarity to Ideal Solution method

Singh

Rawani

2020

IJPPM

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PurposeThis 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/approachFor 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.FindingsThe 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 implicationsThe 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 implicationsProposed 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/valueThis 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.

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Rating engineering characteristics in open design using a probabilistic language method based on fuzzy QFD

Cited by 34 publications

References 43 publications

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

An integrated quality-function-deployment and stochastic-dominance-based decision-making approach for prioritizing product concept alternatives

A Safety Function Deployment Approach to Risk Management of HazMat Highway Transportation

Improving the weight of Technical Attributes in Quality Function Deployment by the Integration of Techniques for Order of Preference by Similarity to Ideal Solution method

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