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ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

Failure Mode and Effect Analysis and Analytic Hierarchical Process Applied for Reduction of Environmental Risk in Supplier Selection to Thermoplastic Industry

Journal of Environmental Accounting and Management 10(1) (2022) 73--89 | DOI:10.5890/JEAM.2022.03.007

Flavia Cristina da Silva$^{1}$, Fabio Ytoshi Shibao$^{1}$, Andre Felipe Henriques Librantz$^{2,3}$, Geraldo Cardoso de Oliveira Neto$^{3}$ , Lincoln Nagaki$^{3}$

$^1$ Environmental Management and Sustainability Graduate Program, Universidade Nove de Julho, Rua Vergueiro, 235/249 -- 12 Floor, zip code: 01504-001, Liberdade, Sao Paulo, Brazil

$^{2}$ Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, Rua Vergueiro, 235/249 -- 12 Floor, zip code: 01504-001, Liberdade, Sao Paulo, Brazil

$^{3}$ Industrial Engineering Graduate Program, Universidade Nove de Julho, Rua Vergueiro, 235/249 -- 12 Floor, zip code: 01504-001, Liberdade, S\~{a}o Paulo, Brazil

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Abstract

Risk management has become a key issue for managing the green supply chain due to fact that the multi-risk and human judgment-based factors always involve subjectivity and ambiguity. Thus, Failure Mode Effects Analysis combined to Analytic Hierarchical Process was proposed for risk reduction in the selection process of suppliers of the green supply chain, providing flexibility and robustness in decision-making process. The tool was applied in the selection of flexographic solvent suppliers in an industry of the thermoplastic components segment and cold starting subsystems for the automotive industry, offering the opportunities for improvement in the monitoring supplier's performance.

Acknowledgments

The authors would like to thank the Uninove for the support.

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