Supplier Selection and Evaluation Using Multicriteria Decision Analysis

Kartsonakis, Stratos; Grigoroudis, Evangelos; Neofytou, Michalis

doi:10.1007/978-3-030-02312-6_11

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…The establishment of an appropriate system of assessment indicators has a significant impact on the choice of assessment and decision-making, a comprehensive system of evaluation indicators is needed to assess suppliers under the circular supply chain, including indicators for cost, product quality and delivery date, employment opportunities, product liability, air pollution, eco-friendly materials, clean technology in production and recycling processes, risk, etc. (Alavi et al, 2021;Kannan et al, 2020;Kartsonakis et al, 2017). It is important to note that these indicators that are taken into account involve not only the environmental factors of supplier selection but also the factors of economic and social issues, all of which significantly influence supplier selection.…”

Section: Design and Production Stagementioning

confidence: 99%

Circular Economy and Fuzzy Set Theory: A Bibliometric and Systematic Review Based on Industry 4.0 Technologies Perspective

Gou,

Xu,

et al. 2024

Technological and Economic Development of Economy

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The Circular Economy (CE) is receiving more attention, especially in Industry 4.0 (I4.0). In the face of several ambiguous and uncertain information, fuzzy techniques based on Fuzzy Set Theory (FST) are essential for developing CE strategies. This paper uses bibliometric methods to analyze the characteristics of the authors, nations/regions, institutions of the literature of FST and CE, and the collaborations relations between them, and then summarize the literature on fuzzy techniques in the CE and identify the specific role that FST can play in each stage of CE, its primary effects on the CE’s pre-preparation stage, design and production stage, and recycling and reuse stage. Meanwhile, the paper explores the advantages of I4.0 technologies for CE and analyzes the research on the role of fuzzy techniques based on FST for CE and I4.0 technologies. Last but not least, this paper is concluded by summarizing the knowledge gained from the bibliometric and content analyses of the literature and suggesting further research directions of investigation. This research will draw attention to FST’s contribution and encourage its advancement in CE and I4.0 technologies.

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Section: Design and Production Stagementioning

confidence: 99%