Large-scale group decision-making for prioritizing engineering characteristics in quality function deployment under comparative linguistic environment

Yang, Qiang; Chen, Zhen‐Song; Chan, C. K.; Pedrycz, Witold; Martínez, Luis; Skibniewski, Mirosław J.

doi:10.1016/j.asoc.2022.109359

Cited by 42 publications

(15 citation statements)

References 72 publications

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“…In 25 out of 27 studies, the number of experts who participated in decision making is less than 20. So, the recommended number of experts for an appropriate outcome should be no more than 20 [57]. Involving more experienced and knowledgeable people in that feld could yield impressive results.…”

Section: Literature Reviewmentioning

confidence: 99%

Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Shahriar

Parvez

Talapatra

2022

Mathematical Problems in Engineering

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Thousands of readymade garment industries are available in Bangladesh, where thousands of sewing machines are being used. The productivity of these sewing machines mostly depends on workers but more or less depends on the machine too. Suitable machines should be sourced to increase worker efficiency and production. Purchasing these machines needs some information or criteria ranking for choosing the best or most suitable machine. This study focuses on identifying and prioritizing those characteristics that fulfil the workers’ (users’) requirements and benefit the industry’s overall income. This study intends to investigate the application of the fuzzy Kano model and AHP (analytical hierarchy process) to translate consumer expectations and design into quality products. Customer needs and technical attributes are assessed and prioritized using the AHP. Then, the optional attributes were prioritized by using the Kano model. RMG industries and their purchasing departments can use these prioritized qualities charts to help them choose a sewing machine. Manufacturers of sewing machines can utilize this information to improve their sewing machine qualities, such as if they need to add or remove any attributes that the consumer requires or does not require.

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Section: Literature Reviewmentioning

confidence: 99%

Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Shahriar

Parvez

Talapatra

2022

Mathematical Problems in Engineering

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“…Since the publication of the seminal paper on prospect theory (PT) by Kahneman and Tversky (2013), PT has become one of the most prominent decision-making theories under risk and uncertainty (Blanco-Mesa et al, 2017;Chen et al, 2022;Jiang et al, 2022;Wang et al, 2023;Yu et al, 2022Yu et al, , 2018Yang et al, 2022). Probability weighting function (PWF), as a main component of PT, has been widely studied and applied in a number of areas, including medical decision-making, assets portfolio, welfare lottery, organizational behavior, insurance purchase and strategic decisions, due to its capability to measure the risk attitudes of decision-makers as well as to reflect and predict their risk preferences (Huang et al, 2021;Walther & Munster, 2021).…”

Section: Introductionmentioning

confidence: 99%

Nonparametric Numerical Approaches to Probability Weighting Function Construct for Manifestation and Prediction of Risk Preferences

Chen

Pedrycz

et al. 2023

Technological and Economic Development of Economy

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Probability weighting function (PWF) is the psychological probability of a decision-maker for objective probability, which reflects and predicts the risk preferences of decision-maker in behavioral decisionmaking. The existing approaches to PWF estimation generally include parametric methodologies to PWF construction and nonparametric elicitation of PWF. However, few of them explores the combination of parametric and nonparametric elicitation approaches to approximate PWF. To describe quantitatively risk preferences, the Newton interpolation, as a well-established mathematical approximation approach, is introduced to task-specifically match PWF under the frameworks of prospect theory and cumulative prospect theory with descriptive psychological analyses. The Newton interpolation serves as a nonparametric numerical approach to the estimation of PWF by fitting experimental preference points without imposing any specific parametric form assumptions. The elaborated nonparametric PWF model varies in accordance with the number of the experimental preference points elicitation in terms of its functional form. The introduction of Newton interpolation to PWF estimation into decision-making under risk will benefit to reflect and predict the risk preferences of decision-makers both at the aggregate and individual levels. The Newton interpolation-based nonparametric PWF model exhibits an inverse S-shaped PWF and obeys the fourfold pattern of decision-makers’ risk preferences as suggested by previous empirical analyses.

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“…The approach involves constructing a product planning house of quality (PPHoQ) as the core of the entire QFD model, followed by a processing method for studying system reliability known as the house of reliability (HoR). Dror 16 presented a novel method for determining a company's vital activities unreliability program. This method is based on the HoR cost, which translates the system's failure cost into the relative importance of corresponding activities listed in the reliability program.…”

Section: Introductionmentioning

confidence: 99%

A hazard analysis of heavy CNC machine tools based on fusion fault correlation

Chen

Zhang

Guo

et al. 2023

Quality & Reliability Eng

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This paper presents an analysis of the fault correlation between CNC machine tool subsystems using decision laboratory analysis and the House of Reliability (HoR) methodology. Initially, the maintenance information of the machine tool and other hazard indicators is comprehensively analyzed based on the cognitive best worst method (CBWM) to assign weights of hazard indicators. The HoR method is then employed to perform fault correlation fusion, which results in comprehensive hazard analysis results of the machine tool subsystems considering the fault correlation. Finally, the results obtained from the fusion fault correlation and the traditional hazard analysis are compared. The results indicate that the proposed method can highlight the relatively important subsystems and the most vulnerable parts of the machine tools. Overall, the hazard analysis results of this paper contribute to the safe and reliable operational and maintenance optimization of CNC machine tools.

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Large-scale group decision-making for prioritizing engineering characteristics in quality function deployment under comparative linguistic environment

Cited by 42 publications

References 72 publications

Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Hierarchizing the Product Characteristics of Industrial Plain Sewing Machine for Making Best Purchase Decision

Nonparametric Numerical Approaches to Probability Weighting Function Construct for Manifestation and Prediction of Risk Preferences

A hazard analysis of heavy CNC machine tools based on fusion fault correlation

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