The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method
Open accessAbstract
Abstract The concept of sustainability is becoming an essential philosophy for numerous industrial sectors because of the increase in environmental protection and social obligations awareness. A sustainable supplier selection is the first step towards this trend. It is also a challenging problem since multi-criteria group decision-making is engaged with numerous conflicting requirements in which decision makers’ knowledge is commonly imprecise and vague. This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable supplier that concerns nine criteria and thirty sub-criteria for an automotive spare parts manufacturer. The proposed approach provides an accurate sustainable ranking of suppliers and a reliable solution for sustainable sourcing decisions that is validated through a real-world case study. This paper ends with research and theoretical findings, managerial insights and directions for future research.
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A Group Process Model for Problem Identification and Program Planning
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An integrated framework for sustainable supplier selection and evaluation in supply chains
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A green supplier selection model for high-tech industry
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Masudin, I., Habibah, I. Z., Wardana, R. W., Restuputri, D. P., & Shariff, S. S. R. (2024) · Logistics · doi:10.3390/logistics8030074 · Cited by 26
Metadata
- Authors
- Memari, A., Dargi, A., Akbari Jokar, M. R., Ahmad, R., & Abdul Rahim, A. R.
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 50
- Pages
- 9-24
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W2903168143
- Cited by
- 555
- References
- 39
- FWCI
- 42.57
- Type
- journal article
- Language
- en
- Open access
- green
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- Memari, A., Dargi, A., Akbari Jokar, M. R., Ahmad, R., & Abdul Rahim, A. R. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2018.11.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
