Analysis of quality control criteria in an business with the fuzzy DEMATEL method: Glass business example

ÇELİK, Miraç Tuba; Arslankaya, Seher

doi:10.1016/j.jer.2023.100039

Cited by 12 publications

(8 citation statements)

References 30 publications

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“…Bhanot et al [23] quantitatively analyzed the product evaluation metrics through DEMATEL and established a demand influence correlation diagram to represent the influence relationship of each indicator. In addition, the DEMATEL method has been fully utilized in enterprise product quality assessment [24], smart product service systems [25], and consumer purchase intention [26]. Compared to the past, which relied on the traditional Kano model for requirements segmentation or the QFD model to realize the conversion between customer requirements and technical characteristics, these methods do not take into account the variability of user weights and the intrinsic connection between requirements when collecting information, which makes the reliability of the assessment results suffer.…”

Section: A Smart Product Design Requirementsmentioning

confidence: 99%

Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model

Zeng,

Zhu,

Lin

et al. 2024

IEEE Access

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In response to the challenge of accurately assessing age-friendly design requirements during the improvement phase of smart products, a novel evaluation model is proposed. This model is grounded in the technology acceptance model and considers the interplay between user weights and requirements. The aim is to establish precise product indicators and development strategies, thereby maximizing user satisfaction and market competitiveness. Initially, design evaluation indicators are derived from the technology acceptance model. Subsequently, the TextRank algorithm and grounded theory are employed to determine the initial weights of these indicators. The DEMATEL method is utilized to analyze the weight of influence relationships between indicators, while the Kano model determines importance coefficients for adjusting weights. Through normalization, final weights are assigned, and the TOPSIS method implements sorting and significance analysis of age-friendly design requirements. Five age-friendly smartphone samples serve as case studies to evaluate and analyze the five age-friendly design requirement indicators. Method comparison and advantage/disadvantage sorting analyses are conducted to validate the effectiveness and feasibility of the proposed approach.

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Section: A Smart Product Design Requirementsmentioning

confidence: 99%

Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model

Zeng,

Zhu,

Lin

et al. 2024

IEEE Access

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“…Recent studies employing the fuzzy DEMATEL methodology have advanced the understanding and application of decision-making processes in various industries. Çelik and Arslankaya [44] conduct an analysis of quality control criteria in a business context, using the fuzzy DEMATEL method and offering insights into effective quality management, illustrated through a glass business example. In maritime transportation, Kuzu [45] applies the fuzzy DEMATEL approach to conduct a risk analysis of anchor loss, demonstrating its utility in assessing complex factors and enhancing decision-making in the maritime industry.…”

Section: Uncertain Data Modelingmentioning

confidence: 99%

Linear Programming-Based Fuzzy Alternative Ranking Order Method Accounting for Two-Step Normalization for Comprehensive Evaluation of Digital Economy Development in Provincial Regions

Xiang,

Farid,

Riaz

2024

Axioms

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As digital technologies continue to reshape economic landscapes, the comprehensive evaluation of digital economy (DE) development in provincial regions becomes a critical endeavor. This article proposes a novel approach, integrating the linear programming method, fuzzy logic, and the alternative ranking order method accounting for two-step normalization (AROMAN), to assess the multifaceted facets of DE growth. The primary contribution of the AROMAN is the coupling of vector and linear normalization techniques in order to produce accurate data structures that are subsequently utilized in calculations. The proposed methodology accommodates the inherent uncertainties and complexities associated with the evaluation process, offering a robust framework for decision-makers. The linear programming aspect optimizes the weightings assigned to different evaluation criteria, ensuring a dynamic and context-specific assessment. By incorporating fuzzy logic, the model captures the vagueness and imprecision inherent in qualitative assessments, providing a more realistic representation of the DE’s multifaceted nature. The AROMAN further refines the ranking process, considering the interdependencies among the criteria and enhancing the accuracy of the evaluation. In order to ascertain the efficacy of the suggested methodology, a case study is undertaken pertaining to provincial areas, showcasing its implementation in the evaluation and a comparison of DE progress in various geographical settings. The outcomes illustrate the capacity of the model to produce perceptive and implementable insights for policymakers, thereby enabling them to make well-informed decisions and implement focused interventions that promote the expansion of the DE. Moreover, managerial implications, theoretical limitations, and a comparative analysis are also given of the proposed method.

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“…It is important to point out that decision making in uncertain environments delivers valid results from subjectivity and reasoning, which is infused with fuzzy logic [21,22]. This analyzes the concept of fuzzy sets, allowing the use of classical Boolean sets in a multiple-valued logic.…”

Section: Business Decision Making Under Uncertaintymentioning

confidence: 99%

Fuzzy Analysis of the Strategic Actions of Travel Agencies in Boyacá, Colombia, in a Post-COVID-19 Era

Blanco-Mesa,

Leon-Castro

2023

Sustainability

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The economic impact of COVID-19 is undeniable, and one of the sectors most affected by this situation was tourism; when departures were canceled and what is known as “The Great Lockdown” began, the activity of this sector was paralyzed. In this regard, knowing which strategic actions must be implemented in order to recover economically is vital. This study aims to identify the importance of the strategic actions of travel agencies in Boyacá following the COVID-19 crisis using aggregation operators and fuzzy techniques. The methodology uses the experton method, Bonferroni’s OWAAC method, maximum similarity sub-relationships and Pichat’s algorithm, and the relative incidence analysis method to determine the importance of the actions taken. The findings show that most managers’ implemented strategic actions, including highlighting financial capacity and marketing (improvement actions and establishing alliances), which were the strategic actions with the highest incidence. These actions identify a focus for activities to reactivate the business and are related to the company’s routine operations.

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Analysis of quality control criteria in an business with the fuzzy DEMATEL method: Glass business example

Cited by 12 publications

References 30 publications

Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model

Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model

Linear Programming-Based Fuzzy Alternative Ranking Order Method Accounting for Two-Step Normalization for Comprehensive Evaluation of Digital Economy Development in Provincial Regions

Fuzzy Analysis of the Strategic Actions of Travel Agencies in Boyacá, Colombia, in a Post-COVID-19 Era

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