| Issue |
RAIRO-Oper. Res.
Volume 56, Number 3, May-June 2022
Recent developments of operations research and data sciences
|
|
|---|---|---|
| Page(s) | 1503 - 1521 | |
| DOI | https://doi.org/10.1051/ro/2022065 | |
| Published online | 13 June 2022 | |
- N.K. Al-Mezeini, A. Oukil and A.M. Al-Ismaili, Investigating the efficiency of greenhouse production in Oman: A two-stage approach based on Data Envelopment Analysis and double bootstrapping. J. Clean. Prod. 247 (2020) 119160. [CrossRef] [Google Scholar]
- G.R. Amin and A. Oukil, Gangless cross-evaluation in DEA: An application to stock selection. RAIRO: OR 53 (2019) 645–655. [CrossRef] [EDP Sciences] [Google Scholar]
- P. Andersen and N.C. Petersen, A procedure for ranking efficient units in data envelopment analysis. Manag. Sci. 39 (1993) 1261–1265. [CrossRef] [Google Scholar]
- S. Avils Sacoto, W.D. Cook, H. Cant Delgado and D. Gemes Castorena, Time-staged Outputs in DEA. Omega 55 (2015) 1–9. [CrossRef] [Google Scholar]
- R.D. Banker, A. Charnes and W.W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag. Sci. 30 (1984) 1078–1092. [Google Scholar]
- M.S. Bazaraa, H.D. Sherali and C.M. Shetty, Non-linear programming: Theory and algorithms. Published by John Wiley & Sons Inc., Hoboken, New Jersey. Published simultaneously in Canada, 3rd-ed. (2006). [CrossRef] [Google Scholar]
- D.W. Caves, L.R. Christensen and W.E. Diewert, The economic theory of index numbers and the measurement of input, output and productivity. Econometrica 50 (1982) 1393–1414. [CrossRef] [Google Scholar]
- A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. [Google Scholar]
- K. Chen, M. Kou and X. Fu, Evaluation of multi-period regional R&D effciency: An application of dynamic DEA to China’s regional R&D systems. Omega 74 (2017) 103–114. [Google Scholar]
- A. Esmaeilzadeh and A. Hadi-Vencheh, A super-efficiency model for measuring aggregative efficiency of multi-period production systems. Measurement 46 (2013) 3988–3993. [CrossRef] [Google Scholar]
- E. Grifell-Tatjé and C.A.K. Lovell, A generalized malmquist productivity index. Sociedad de Estadistica e Investigacion Operative 7 (1999) 81–101. [Google Scholar]
- F. Hosseinzadeh Lotfi, G.R. Jahanshahloo, M. Vaez-Ghasemi and Z. Moghaddas, Evaluation progress and regress of balanced scorecards by multi-stage Malmquist Productivity Index. J. Ind Prod. Eng. 30 (2013) 345–354. [Google Scholar]
- F. Hosseinzadeh Lotfi, G.R. Jahanshahloo, M. Vaez-Ghasemi and Z. Moghaddas, Modified Malmquist Productivity Index Based on Present Time Value of Money. J. Appl. Math. 2013 (2013) 8. [Google Scholar]
- F. Hosseinzadeh Lotfi, G.R. Jahanshahloo, M. Veaz-Ghasemi and Z. Moghaddas, Periodic efficiency measurement for achieving correct efficiency among several terms of evaluation. Int. J. Oper. Res. 18 (2013) 1–15. [CrossRef] [Google Scholar]
- M.A. Jahantighi, Z. Moghaddas and M. Vaez-Ghasemi, Two-stage Malmquist Productivity Index with Intermediate Products. Int. J. Ind. Math. 4 (2012) 31–40. [Google Scholar]
- C. Kao and S.N. Hwang, Multi-period efficiency and Malmquist productivity index in two-stage production systems. Eur. J. Oper. Res. 232 (2014) 512–521. [Google Scholar]
- C. Kao and S. Liu, Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks. Omega 47 (2014) 90–98. [CrossRef] [Google Scholar]
- M. Kou, K. Chen, S. Wang and Y. Shao, Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries national innovation systems. Exp. Syst. Appl. 46 (2016) 494–510. [CrossRef] [Google Scholar]
- Y. Kristianto and A. Gunasekaran, A global optimization for sustainable multi-domain global manufacturing. Comp. Oper. Res. 89 (2018) 307–323. [CrossRef] [Google Scholar]
- T. Lee, Y. Zhang and B.H. Jeong, A multi-period output DEA model with consistent time lag effects. Comp. Ind. Eng. 93 (2016) 267–274. [CrossRef] [Google Scholar]
- Z. Li, J. Crook and G. Andreeva, Dynamic Prediction of Financial Distress Using Malmquist DEA. Exp. Syst. Appl. 80 (2017) 94–106. [CrossRef] [Google Scholar]
- S. Malmquist, Index numbers and indifference surfaces. Trabajos de Estatistica 4 (1953) 209–242. [CrossRef] [Google Scholar]
- S. Munisamy and B. Arabi, Eco-efficiency change in power plants: using a slacks-based measure for the meta-frontier MalmquisteLuenberger productivity index. J. Clean. Prod. 105 (2015) 218–232. [CrossRef] [Google Scholar]
- S.C. Oh and J. Shin, The impact of mismeasurement in performance benchmarking: A monte carlo comparison of SFA and DEA with different multi-period budgeting strategies. Eur. J. Oper. Res. 240 (2015) 518–527. [CrossRef] [Google Scholar]
- M. Oral, G.R. Amin and A. Oukil, Cross-efficiency in DEA: A maximum resonated appreciative model. Measurement 63 (2015) 159–167. [CrossRef] [Google Scholar]
- A. Oukil, Ranking via composite weighting schemes under a DEA cross-evaluation framework. Comput. Ind. Eng. 117 (2018) 217–224. [CrossRef] [Google Scholar]
- A. Oukil, Embedding OWA under preference ranking for DEA crossefficiency aggregation: Issues and procedures. Int. J. Intell. Syst. 34 (2019) 947–965. [CrossRef] [Google Scholar]
- A. Oukil, Exploiting value system multiplicity and Preference voting for Robust ranking. Omega Int. J. Manag. Sci. 94 (2020) 102048. [CrossRef] [Google Scholar]
- A. Oukil and G.R. Amin, Maximum appreciative cross-efficiency in DEA: A new ranking method. Comput. Ind. Eng. 81 (2015) 14–21. [CrossRef] [Google Scholar]
- A. Oukil and S.M. Govindaluri, A systematic approach for ranking football players within an integrated DEA-OWA framework. Manage. Decis. Econ. 38 (2017) 1125–1136. [CrossRef] [Google Scholar]
- A. Oukil and A. Al-Zidi, Benchmarking the hotel industry in Oman through a three-stage DEA based procedure. J. Arts Soc. Sci. 9 (2018) 5–23. [CrossRef] [Google Scholar]
- A. Oukil and S. Zekri, Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman. Preprint arXiv:2104.10943 (2021). [Google Scholar]
- A. Oukil and A. El-Bouri, Ranking dispatching rules in multi-objective dynamic flow shop scheduling: a multi-faceted perspective. Int. J. Prod. Res. 59 (2022) 388–411. [Google Scholar]
- A. Oukil, N. Channouf and A. Al-Zidi, Performance evaluation of the hotel industry in an emerging tourism destination: Case of Oman. J. Hosp. Tour. Manag. 29 (2016) 60–68. [CrossRef] [Google Scholar]
- A. Oukil, A.A. Soltani, H. Boutaghane, O. Abdalla, A. Bermad, M. Hasbaia and M.R. Boulassel, A Surrogate Water Quality Index to assess groundwater using a unified DEA-OWA framework. Environ. Sci. Pollut. Res. 28 (2021) 56658–56685. [CrossRef] [PubMed] [Google Scholar]
- A. Oukil, A. El-Bouri and A. Emrouznejad, Energy-aware job scheduling in a multi-objective production environment: An integrated DEA-OWA model. Comput. Ind. Eng. 168 (2022) 108065. [CrossRef] [Google Scholar]
- K.S. Park and K. Park, Measurement of multi-period aggregative efficiency. Eur. J. Oper. Res. 193 (2009) 567–580. [CrossRef] [Google Scholar]
- J.T. Pastor and C.A.K. Lovell, A global Malmquist productivity index. Econ. Lett. 88 (2005) 266–271. [CrossRef] [Google Scholar]
- M. Portela and E. Thanassoulis, A circular Malmquist-type index for measuring productivity. Aston University, UK Working Paper RP08-02 (2008). [Google Scholar]
- S.H. Razavi Hajiagha, S.S. Hashemi, H.A. Mahdiraji and J. Azaddel, Multi-period data envelopment analysis based on Chebyshev inequality Bounds. Exp. Syst. Appl. 42 (2016) 7759–7767. [Google Scholar]
- L.M. Seiford and J. Zhu, Infeasibility of super-efficiency data envelopment analysis models. INFOR 37 (1999) 174–187. [Google Scholar]
- S.Y. Sohn and Y. Kim, DEA based multi-period evaluation system for research in academia. Exp. Syst. Appl. 39 (2012) 8274–8278. [CrossRef] [Google Scholar]
- A.A. Soltani, A. Oukil, H. Boutaghane, A. Bermad and M.R. Boulassel, A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams. Ecol. Indic. 121 (2021) 106952. [CrossRef] [Google Scholar]
- O. Sow, A. Oukil, B.M. Ndiaye and A. Marcos, Efficiency analysis of public transportation subunits using DEA and Bootstrap Approaches-Dakar Dem Dikk case study. J. Math. Res. 8 (2016) 114–127. [CrossRef] [Google Scholar]
- N. Wang, J. Chen, S. Yao and Y.C. Chang, A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level. Renew. Sustain. Energy Rev. 82 (2018) 2606–2612. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.