Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model
Data envelopment analysis based on mathematical programming for decision-making units determines the efficiency score in addition to the projection of inefficient DMUs on the efficient frontier. Centralized Allocation Resource (CRA) with a two-stage linear programming model captures the projection o...
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REA Press
2021-09-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_142083_75801be4d7d79f05c60d8206be8d35bf.pdf |
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| author | Mohammad Reza Mozaffari Sahar Ostovan |
| author_facet | Mohammad Reza Mozaffari Sahar Ostovan |
| author_sort | Mohammad Reza Mozaffari |
| collection | DOAJ |
| description | Data envelopment analysis based on mathematical programming for decision-making units determines the efficiency score in addition to the projection of inefficient DMUs on the efficient frontier. Centralized Allocation Resource (CRA) with a two-stage linear programming model captures the projection of DMUs on the efficient frontier. But since the input and output vectors of each DMU in the DEA are crucial, they may be random data that follow a particular distribution. Hence, many applied studies face random data. This paper shows a two-stage supply chain with random data and the CRA model with ratio data has been used to calculate the projection of DMUs. In the end, the supply chain of 11 Iranian Airlines with random data during the period of 2011-2017 was considered concerning sustainability factors. |
| format | Article |
| id | doaj-art-205d79f89d544d5782ec1be2ca0e92c3 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2021-09-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-205d79f89d544d5782ec1be2ca0e92c32025-01-30T12:21:25ZengREA PressBig Data and Computing Visions2783-49562821-014X2021-09-011314615510.22105/bdcv.2021.142083142083Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) modelMohammad Reza Mozaffari0Sahar Ostovan1Department of Mathematics, Shiraz Branch, Islamic Azad University, Shiraz, Iran.Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.Data envelopment analysis based on mathematical programming for decision-making units determines the efficiency score in addition to the projection of inefficient DMUs on the efficient frontier. Centralized Allocation Resource (CRA) with a two-stage linear programming model captures the projection of DMUs on the efficient frontier. But since the input and output vectors of each DMU in the DEA are crucial, they may be random data that follow a particular distribution. Hence, many applied studies face random data. This paper shows a two-stage supply chain with random data and the CRA model with ratio data has been used to calculate the projection of DMUs. In the end, the supply chain of 11 Iranian Airlines with random data during the period of 2011-2017 was considered concerning sustainability factors.https://www.bidacv.com/article_142083_75801be4d7d79f05c60d8206be8d35bf.pdfdata envelopment analysiscentralized resource allocation (cra)dea-rrandom data |
| spellingShingle | Mohammad Reza Mozaffari Sahar Ostovan Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model Big Data and Computing Visions data envelopment analysis centralized resource allocation (cra) dea-r random data |
| title | Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model |
| title_full | Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model |
| title_fullStr | Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model |
| title_full_unstemmed | Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model |
| title_short | Finding projection in the two-stage supply chain in DEA-R with random data using (CRA) model |
| title_sort | finding projection in the two stage supply chain in dea r with random data using cra model |
| topic | data envelopment analysis centralized resource allocation (cra) dea-r random data |
| url | https://www.bidacv.com/article_142083_75801be4d7d79f05c60d8206be8d35bf.pdf |
| work_keys_str_mv | AT mohammadrezamozaffari findingprojectioninthetwostagesupplychainindearwithrandomdatausingcramodel AT saharostovan findingprojectioninthetwostagesupplychainindearwithrandomdatausingcramodel |