A DEA model with dual-role factors and fuzzy data for selecting third-party reverse logistics provider, case study: Hospital waste collection
| Autor: | Saeed Rastgar, Alireza Eydi |
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| Rok vydání: | 2022 |
| Předmět: |
Delegate
Operations research business.industry Computer science General Engineering Dual role factors Reverse logistics Engineering (General). Civil engineering (General) Fuzzy logic Outsourcing Third-party logistics provider Software Data envelopment analysis Organizational communication Inaccurate data TA1-2040 business Coding (social sciences) |
| Zdroj: | Ain Shams Engineering Journal, Vol 13, Iss 2, Pp 101561-(2022) |
| ISSN: | 2090-4479 |
| DOI: | 10.1016/j.asej.2021.07.011 |
| Popis: | Today, most institutions and companies delegate reverse logistics services, organizational communication, and outsourcing company to a third-party logistics reverse provider. To select an appropriate third-party logistics provider, this study proposes a decision-making procedure considering dual role data and fuzzy states based on data envelopment analysis models. After determining evaluation indices, this study uses the α -cut approach to transform the proposed model under uncertainty to a deterministic model. Finally, a case study (collection and burial of hospital waste) is presented to show the application of this research. Results of selecting the best third-party logistics provider and more analyses are provided after coding in GAMS software. |
| Databáze: | OpenAIRE |
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