Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
7-2019
Abstract
Supply chain sustainability has become one of the most attractive decision management topics. There are many articles that have focused on this field presenting many different points of view. This research is centred on the evaluation of supply chain sustainability based on two critical dimensions. The first is the importance of evaluation metrics based on economic, environmental and social aspects, and the second is the degree of difficulty of information gathering. This paper aims to increase the accuracy of the evaluation. The proposed method is a combination of quality function deployment (QFD) with plithogenic aggregation operations. The aggregation operation is applied to aggregate: Firstly, the decision maker’s opinions of requirements that are needed to evaluate the supply chain sustainability; secondly, the evaluation metrics based on the requirements; and lastly, the evaluation of information gathering difficulty. To validate the proposed model, this study presented a real world case study of Thailand’s sugar industry. The results showed the most preferred and the lowest preferred metrics in order to evaluate the sustainability of the supply chain strategy.
Publisher
MDPI, Basel
Publication Title
Symmetry
Volume
11
Issue
7
DOI
10.3390/sym11070903
Language (ISO)
English
Keywords
supplychainsustainabilitymetrics;plithogeny; aggregationoperations; neutrosophicset; quality function deployment
Recommended Citation
Smarandache, Florentin; Mohamed Abdel-Basset; Rehab Mohamed; and Abd El-Nasser H. Zaied.
"A Hybrid Plithogenic Decision-Making Approach with Quality Function Deployment for Selecting Supply Chain Sustainability Metrics."
Symmetry
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Business Administration, Management, and Operations Commons, Entrepreneurial and Small Business Operations Commons, Logic and Foundations Commons, Other Mathematics Commons