Article: A quantitative risk assessment framework for reverse logistics of plastic packaging wastes via a multi-stage intuitionistic fuzzy information: a case study of plastic recycling industry in Thailand Journal: International Journal of Management and Decision Making (IJMDM) 2024 Vol.23 No.6 pp.665 - 700 Abstract: This study proposes a failure mode effect analysis (FMEA) framework to assess the RL risks of plastic packaging wastes by using a multi-stage intuitionistic fuzzy. Firstly, the 11 failure modes of RL are identified through extensive literature review and validated by industrial experts. Next, the subjective and objective weighting of FMEA risk criteria are computed using decision-making trial and evaluation laboratory (DEMATEL) and entropy approaches, respectively. Subsequently, the subjective and objective weightings are used to obtain the combination weighing of FM risk criteria. Next, the 11 failure modes are ranked using combinative distance-based assessment (CODAS). Lastly, the sensitivity analysis is performed to validate the reliability and robustness of the proposed framework. The plastic packaging recycling industry in Thailand is used as a case study. The findings of this study provide useful insights for academics and practitioners to make risk assessment decisions in the reverse logistics system. Inderscience Publishers - linking academia, business and industry through research

Title: A quantitative risk assessment framework for reverse logistics of plastic packaging wastes via a multi-stage intuitionistic fuzzy information: a case study of plastic recycling industry in Thailand

Authors: Detcharat Sumrit; Jirawat Keeratibhubordee

Addresses: The Cluster of Logistics and Rail Engineering, Faculty of Engineering, Mahidol University, 25/25 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand ' The Cluster of Logistics and Rail Engineering, Faculty of Engineering, Mahidol University, 25/25 Phuttamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand

Abstract: This study proposes a failure mode effect analysis (FMEA) framework to assess the RL risks of plastic packaging wastes by using a multi-stage intuitionistic fuzzy. Firstly, the 11 failure modes of RL are identified through extensive literature review and validated by industrial experts. Next, the subjective and objective weighting of FMEA risk criteria are computed using decision-making trial and evaluation laboratory (DEMATEL) and entropy approaches, respectively. Subsequently, the subjective and objective weightings are used to obtain the combination weighing of FM risk criteria. Next, the 11 failure modes are ranked using combinative distance-based assessment (CODAS). Lastly, the sensitivity analysis is performed to validate the reliability and robustness of the proposed framework. The plastic packaging recycling industry in Thailand is used as a case study. The findings of this study provide useful insights for academics and practitioners to make risk assessment decisions in the reverse logistics system.

Keywords: plastic packaging wastes; failure mode effect analysis; FMEA; DEMATEL; entropy; combinative distance-based assessment; CODAS.

DOI: 10.1504/IJMDM.2024.141897

International Journal of Management and Decision Making, 2024 Vol.23 No.6, pp.665 - 700

Received: 19 Feb 2023
Accepted: 14 Apr 2023
Published online: 03 Oct 2024 *

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Title: A quantitative risk assessment framework for reverse logistics of plastic packaging wastes via a multi-stage intuitionistic fuzzy information: a case study of plastic recycling industry in Thailand

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