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Chunguang Bai

Researcher at University of Electronic Science and Technology of China

Publications -  67
Citations -  5224

Chunguang Bai is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 28, co-authored 66 publications receiving 3520 citations. Previous affiliations of Chunguang Bai include Dongbei University of Finance and Economics & Dalian University of Technology.

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Integrating sustainability into supplier selection with grey system and rough set methodologies

TL;DR: This work expands on a novel approach to supplier selection modeling first introduced by (Li et al., 2008), which utilizes grey system and rough set theory and offers insights into the technique with some sensitivity analysis.
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Industry 4.0 technologies assessment: A sustainability perspective

TL;DR: In this article, the authors introduce a measures framework for sustainability based on the United Nations Sustainable Development Goals (SDGs) incorporating various economic, environmental and social attributes, and develop a hybrid multi-situation decision method integrating hesitant fuzzy set, cumulative prospect theory and VIKOR.
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Green supplier development: analytical evaluation using rough set theory

TL;DR: In this paper, a rough set methodology is used to investigate the relationship between organizational attributes, supplier development program involvement attributes, and performance outcomes, focusing on environmental and business dimensions, and the methodology generates decision rules relating the various attributes to the performance outcomes.
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A grey-based DEMATEL model for evaluating business process management critical success factors

TL;DR: A methodology to evaluate BPM implementation critical success factors (CSFs) that can aid project managers make proper BPM investment strategies and insights into the application of the technique are presented.
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A supply chain transparency and sustainability technology appraisal model for blockchain technology

TL;DR: A new hybrid group decision method, integrated hesitant fuzzy set and regret theory, is introduced, for blockchain technology evaluation and selection that emphasises decision maker psychological characteristics and variation in decision maker opinions.