Risk Analysis of Green Supply Chain Using a Hybrid Multi-Criteria Decision Model: Evidence from Laptop Manufacturer Industry

Green supply chain management has become enormously significant over the last two decades. Traditional supply chain risk management is inept at dealing with the intangible criteria related to environmental issues. Contrary to most of the previous research, which emphasized risks in merely one or two...

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Bibliographic Details
Published in:Axioms 2022-12, Vol.11 (12), p.668
Main Authors: Chen, I-Fei, Kuo, Pi-Ying, Tsaur, Ruey-Chyn, Sarkar, Santanu, Huang, Shih-Chun
Format: Article
Language:English
Subjects:
ANP
Consumers
Consumption
Continuous improvement
Decision analysis
Empirical analysis
Environmental protection
Environmental regulations
Failure analysis
Failure modes
FMEA
green supply chain
grey relational analysis
Hazardous materials
Labor disputes
Management
Manufacturers
Manufacturing
Marketing
Methods
Multiple criteria decision making
Multiple criterion
Recycling
Risk analysis
Risk assessment
Risk factors
Risk management
RPN
Social responsibility
Suppliers
Supply chain management
Supply chains
Sustainability
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Summary:Green supply chain management has become enormously significant over the last two decades. Traditional supply chain risk management is inept at dealing with the intangible criteria related to environmental issues. Contrary to most of the previous research, which emphasized risks in merely one or two phases of the green supply chain, this study provides a systematic checklist of the cradle-to-grave approach to risk identification and prioritization using a hybrid method. Based on a world-leading Taiwanese laptop manufacturer, we first identified the risk factors of the green supply chain with respect to the components and subcomponents of Risk Priority Numbers (RPN) on the Failure Mode and Effects Analysis (FMEA). Second, we used the Analytic Network Process (ANP) to derive the relative weights of the subcomponents of RPN. Third, we combined grey relational analysis and ANP weights to derive the relative importance of each risk criterion in each risk factor in the green supply chain. The empirical results verified that our proposed method can be applied to the laptop manufacturing industry and found industry-specific green risk criteria in each factor. Therefore, following this, enterprises can control the possible risks for continuous improvement in their green activities.
ISSN:2075-1680
2075-1680
DOI:10.3390/axioms11120668