Journal
JOURNAL OF CLEANER PRODUCTION
Volume 222, Issue -, Pages 606-621Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.03.070
Keywords
Multiple criteria analysis; Sustainable supply chain management; Cloud model; Rough set theory; Integrated weights
Categories
Funding
- National Natural Science Foundation of China [71501006, 71773006, 71420107025]
- Beijing Municipal Social Science Foundation [15ZDA49]
- Fundamental Research Funds for the Central Universities
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With the increased sustainable awareness and pressures from stakeholders, enterprises have realized the importance to implement sustainable supply chain management (SSCM) practices to pursue economic, environmental, and social benefits. In this paper, a novel framework is proposed, which identifies SSCM practices as the evaluation criteria for supplier evaluation. Because vague and subjective information often exists in decision-making of supplier evaluation, fuzzy-based approaches are frequently used to manipulate such vagueness and subjectivity. However, the previous fuzzy methods do not consider randomness in decision making and they require prior information. Thus, an extended TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method is developed in this paper for sustainable supplier selection, which integrates the advantage of cloud model theory in manipulating uncertainty of randomness (intrapersonal uncertainty) and the merit of rough set theory in flexibly handling interpersonal uncertainty without extra information. Additionally, an integrated weighting method considering both subjective and objective weights is proposed to determine comprehensive weights of criteria. Finally, a case study of sustainable photovoltaic modules supplier selection is conducted to show the effectiveness of the proposed method. (C) 2019 Elsevier Ltd. All rights reserved.
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