How to cite this paper
Rabbani, M., Farrokhi-Asl, H & Manavizadeh, N. (2017). Using Robust-DEA optimization approach to analyze performance and efficiency of a mine in north of Iran.Management Science Letters , 7(2), 97-110.
Refrences
Abbaspour, K. C., Faramarzi, M., Ghasemi, S. S., & Yang, H. (2009). Assessing the impact of climate change on water resources in Iran. Water resources research, 45(10).
Aspden, P., Corrigan, J. M., Wolcott, J., & Erickson, S. M. (2003). Committee on Data Standards for Patient Safety." Patient Safety: Achieving a New Standard for Care." Washington, DC: Institute of Medicine.
Azadeh, A., & Salehi, V. (2014). Modeling and optimizing efficiency gap between managers and op-erators in integrated resilient systems: The case of a petrochemical plant. Process Safety and Envi-ronmental Protection, 92(6), 766-778.
Baker, S. P., o'Neill, B., Haddon Jr, W., & Long, W. B. (1974). The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. Journal of Trauma and Acute Care Surgery, 14(3), 187-196.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Barach, P., & Small, S. D. (2000). Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems. British Medical Journal, 320(7237), 759.
Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations research, 52(1), 35-53.
Bird, F. E., & Germain, G. L. (1996). Practical loss control leadership. Det Norske Veritas (USA).
Bozdag, E., Asan, U., Soyer, A., & Serdarasan, S. (2015). Risk prioritization in Failure Mode and Ef-fects Analysis using interval type-2 fuzzy sets. Expert Systems with Applications, 42(8), 4000-4015.
Bull, W. B. (1975). Landforms that do not tend toward a steady state. Theories of landform develop-ment, 6, 111.
Charnes, A., and L. Neralić. (1990). Sensitivity analysis of the additive model in data envelopment analysis. European Journal of Operational Research, 332-341.
Charnes, A., William W. Cooper, and Edwardo Rhodes. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 429-444.
Ciarapica, F. F., and G. Giacchetta. (2009). Towards an international limit value for occupational trauma risk: industrial exposures associated with occupational trauma, permanent impairment and fatalities in a five-year national claims material. Safety Science, 39-46.
Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial En-gineering, 66(4), 634-642.
Coleman, P. J., and John C. Kerkering. (2007). Measuring mining safety with injury statistics: Lost workdays as indicators of risk. Journal of safety research, 523-533.
Färe, R., Grosskopf, S., & Lovell, C. K. (2013). The measurement of efficiency of production (Vol. 6). Springer Science & Business Media.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Socie-ty. Series A (General), 120(3), 253-290.
Ghaffari, M. (2013). Safety and health in mining in IR Iran. List of contents.
Grayson, R. L., Harisha Kinilakodi, and Vladislav Kecojevic. (2009). Pilot sample risk analysis for underground coal mine fires and explosions using MSHA citation data. Safety Science, 1371-1378.
Gürcanli, G. E., and Ugur Müngen. (2009). An occupational safety risk analysis method at construc-tion sites using fuzzy sets. International Journal of Industrial Ergonomics, 371-387.
Hermans, E., et al. (2009). Benchmarking road safety: lessons to learn from a data envelopment analy-sis. Accident Analysis and Prevention, 174-182.
Hermans, E., Filip Van den Bossche, and Geert Wets. (2008). Combining road safety information in a performance index. Accident Analysis and Prevention, 1337-1344.
Journal of Trauma and Acute Care Surgery, 187-196.
Kalantary, Z., & Azar, A. (2014). A robust data envelopment analysis model for ranking: A case study of hospitals of Tehran. Data Envelopment Analysis and Performance Measurement, 21.
Karmis, M. (2001). Mine health and safety management. SME.
Kauppinen, T., & Khajehzadeh, N. (2015). Sustainability in the exploration phase of mining: a Data Envelopment Analysis approach. IFAC-PapersOnLine, 48(17), 114-118.
Kauppinen, T., Lettenmeier, M., & Lähteenoja, S. (2008). Data envelopment analysis as a tool for sus-tainable foodstuff consumption. Sustainable consumption and production: framework for action, 181.
Kecojevic, V., Komljenovic, D., Groves, W., & Radomsky, M. (2007). An analysis of equipment-related fatal accidents in US mining operations: 1995–2005. Safety Science, 45(8), 864-874.
Kniesner, T. J., and John D. Leeth. (2004). Data mining mining data: MSHA enforcement efforts, underground coal mine safety, and new health policy implications. Journal of Risk and Uncertain-ty, 83-111.
Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61-67.
Larsson, T. J., and Brian Field. (2002). The distribution of occupational injury risks in the Victorian construction industry. Safety Science, 439-456.
Liu, H. C., You, J. X., You, X. Y., & Shan, M. M. (2015). A novel approach for failure mode and ef-fects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Compu-ting, 28, 579-588.
Mahdevari, S., Shahriar, K., & Esfahanipour, A. (2014). Human health and safety risks management in underground coal mines using fuzzy TOPSIS. Science of the Total Environment, 488, 85-99.
Mardani, M., & Salarpour, M. (2015). Measuring technical efficiency of potato production in Iran us-ing robust data envelopment analysis. Information Processing in Agriculture, 2(1), 6-14.
Marovelli, R. L. (1981). A comparison of American safety performance to other countries. Mining Congress Journal, 67. No. 8. 1920
Mital, A., Arunkumar Pennathur, and Achin Kansal. (2000). Nonfatal occupational injuries in the United States Part II-back injuries. International Journal of Industrial Ergonomics, 131-150.
Pham, V. H., Tran, T. N. L., Le, G. V., Movahed, M., Jiang, Y., Pham, N. H., ... and Takahashi, K. (2013). Asbestos and Asbestos-related Diseases in Vietnam: In reference to the International Labor Organization/World Health Organization National Asbestos Profile. Safety and health at work, 4(2), 117-121.
Ramani, R. V., and Jan M. Mutmansky. (1999). Mine health and safety at the turn of the millennium. Mining engineering, 25-30.
Sadjadi, S. J., & Omrani, H. (2010). A bootstrapped robust data envelopment analysis model for effi-ciency estimating of telecommunication companies in Iran. Telecommunications Policy, 34(4), 221-232.
Sari, M., et al. (2009). Stochastic modeling of accident risks associated with an underground coal mine in Turkey. Safety Science, 78-87.
Sarkar, S. K., & Bhattacharya, A. K. (2003). Conservation of biodiversity of the coastal resources of Sundarbans, Northeast India: an integrated approach through environmental education. Marine pollution bulletin, 47(1), 260-264.
Serrano Cinca, C., Mar Molinero, C., & Chaparro García, F. (1970). Behind DEA efficiency in finan-cial institutions.
Shokouhi, A. H., Hatami-Marbini, A., Tavana, M., & Saati, S. (2010). A robust optimization approach for imprecise data envelopment analysis. Computers & Industrial Engineering, 59(3), 387-397.
Shokouhi, A. H., Shahriari, H., Agrell, P. J., & Hatami-Marbini, A. (2014). Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data. OR spectrum, 36(1), 133-160.
Shokouhi, A. H., & Shahriari, H. (2015). An Integrated Model with Conservative Levels to Evaluate the DMUs Efficiencies for Uncertain Data. Iranian Journal of Operations Research, 5(1), 29-46.
Zahiri, B., Tavakkoli-Moghaddam, R., & Rezaei-Malek, M. (2016). An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty. Journal of Intelligent & Fuzzy Systems, 30(5), 2737-2748.
Aspden, P., Corrigan, J. M., Wolcott, J., & Erickson, S. M. (2003). Committee on Data Standards for Patient Safety." Patient Safety: Achieving a New Standard for Care." Washington, DC: Institute of Medicine.
Azadeh, A., & Salehi, V. (2014). Modeling and optimizing efficiency gap between managers and op-erators in integrated resilient systems: The case of a petrochemical plant. Process Safety and Envi-ronmental Protection, 92(6), 766-778.
Baker, S. P., o'Neill, B., Haddon Jr, W., & Long, W. B. (1974). The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. Journal of Trauma and Acute Care Surgery, 14(3), 187-196.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Barach, P., & Small, S. D. (2000). Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems. British Medical Journal, 320(7237), 759.
Bertsimas, D., & Sim, M. (2004). The price of robustness. Operations research, 52(1), 35-53.
Bird, F. E., & Germain, G. L. (1996). Practical loss control leadership. Det Norske Veritas (USA).
Bozdag, E., Asan, U., Soyer, A., & Serdarasan, S. (2015). Risk prioritization in Failure Mode and Ef-fects Analysis using interval type-2 fuzzy sets. Expert Systems with Applications, 42(8), 4000-4015.
Bull, W. B. (1975). Landforms that do not tend toward a steady state. Theories of landform develop-ment, 6, 111.
Charnes, A., and L. Neralić. (1990). Sensitivity analysis of the additive model in data envelopment analysis. European Journal of Operational Research, 332-341.
Charnes, A., William W. Cooper, and Edwardo Rhodes. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 429-444.
Ciarapica, F. F., and G. Giacchetta. (2009). Towards an international limit value for occupational trauma risk: industrial exposures associated with occupational trauma, permanent impairment and fatalities in a five-year national claims material. Safety Science, 39-46.
Chen, P. S., & Wu, M. T. (2013). A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial En-gineering, 66(4), 634-642.
Coleman, P. J., and John C. Kerkering. (2007). Measuring mining safety with injury statistics: Lost workdays as indicators of risk. Journal of safety research, 523-533.
Färe, R., Grosskopf, S., & Lovell, C. K. (2013). The measurement of efficiency of production (Vol. 6). Springer Science & Business Media.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Socie-ty. Series A (General), 120(3), 253-290.
Ghaffari, M. (2013). Safety and health in mining in IR Iran. List of contents.
Grayson, R. L., Harisha Kinilakodi, and Vladislav Kecojevic. (2009). Pilot sample risk analysis for underground coal mine fires and explosions using MSHA citation data. Safety Science, 1371-1378.
Gürcanli, G. E., and Ugur Müngen. (2009). An occupational safety risk analysis method at construc-tion sites using fuzzy sets. International Journal of Industrial Ergonomics, 371-387.
Hermans, E., et al. (2009). Benchmarking road safety: lessons to learn from a data envelopment analy-sis. Accident Analysis and Prevention, 174-182.
Hermans, E., Filip Van den Bossche, and Geert Wets. (2008). Combining road safety information in a performance index. Accident Analysis and Prevention, 1337-1344.
Journal of Trauma and Acute Care Surgery, 187-196.
Kalantary, Z., & Azar, A. (2014). A robust data envelopment analysis model for ranking: A case study of hospitals of Tehran. Data Envelopment Analysis and Performance Measurement, 21.
Karmis, M. (2001). Mine health and safety management. SME.
Kauppinen, T., & Khajehzadeh, N. (2015). Sustainability in the exploration phase of mining: a Data Envelopment Analysis approach. IFAC-PapersOnLine, 48(17), 114-118.
Kauppinen, T., Lettenmeier, M., & Lähteenoja, S. (2008). Data envelopment analysis as a tool for sus-tainable foodstuff consumption. Sustainable consumption and production: framework for action, 181.
Kecojevic, V., Komljenovic, D., Groves, W., & Radomsky, M. (2007). An analysis of equipment-related fatal accidents in US mining operations: 1995–2005. Safety Science, 45(8), 864-874.
Kniesner, T. J., and John D. Leeth. (2004). Data mining mining data: MSHA enforcement efforts, underground coal mine safety, and new health policy implications. Journal of Risk and Uncertain-ty, 83-111.
Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61-67.
Larsson, T. J., and Brian Field. (2002). The distribution of occupational injury risks in the Victorian construction industry. Safety Science, 439-456.
Liu, H. C., You, J. X., You, X. Y., & Shan, M. M. (2015). A novel approach for failure mode and ef-fects analysis using combination weighting and fuzzy VIKOR method. Applied Soft Compu-ting, 28, 579-588.
Mahdevari, S., Shahriar, K., & Esfahanipour, A. (2014). Human health and safety risks management in underground coal mines using fuzzy TOPSIS. Science of the Total Environment, 488, 85-99.
Mardani, M., & Salarpour, M. (2015). Measuring technical efficiency of potato production in Iran us-ing robust data envelopment analysis. Information Processing in Agriculture, 2(1), 6-14.
Marovelli, R. L. (1981). A comparison of American safety performance to other countries. Mining Congress Journal, 67. No. 8. 1920
Mital, A., Arunkumar Pennathur, and Achin Kansal. (2000). Nonfatal occupational injuries in the United States Part II-back injuries. International Journal of Industrial Ergonomics, 131-150.
Pham, V. H., Tran, T. N. L., Le, G. V., Movahed, M., Jiang, Y., Pham, N. H., ... and Takahashi, K. (2013). Asbestos and Asbestos-related Diseases in Vietnam: In reference to the International Labor Organization/World Health Organization National Asbestos Profile. Safety and health at work, 4(2), 117-121.
Ramani, R. V., and Jan M. Mutmansky. (1999). Mine health and safety at the turn of the millennium. Mining engineering, 25-30.
Sadjadi, S. J., & Omrani, H. (2010). A bootstrapped robust data envelopment analysis model for effi-ciency estimating of telecommunication companies in Iran. Telecommunications Policy, 34(4), 221-232.
Sari, M., et al. (2009). Stochastic modeling of accident risks associated with an underground coal mine in Turkey. Safety Science, 78-87.
Sarkar, S. K., & Bhattacharya, A. K. (2003). Conservation of biodiversity of the coastal resources of Sundarbans, Northeast India: an integrated approach through environmental education. Marine pollution bulletin, 47(1), 260-264.
Serrano Cinca, C., Mar Molinero, C., & Chaparro García, F. (1970). Behind DEA efficiency in finan-cial institutions.
Shokouhi, A. H., Hatami-Marbini, A., Tavana, M., & Saati, S. (2010). A robust optimization approach for imprecise data envelopment analysis. Computers & Industrial Engineering, 59(3), 387-397.
Shokouhi, A. H., Shahriari, H., Agrell, P. J., & Hatami-Marbini, A. (2014). Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data. OR spectrum, 36(1), 133-160.
Shokouhi, A. H., & Shahriari, H. (2015). An Integrated Model with Conservative Levels to Evaluate the DMUs Efficiencies for Uncertain Data. Iranian Journal of Operations Research, 5(1), 29-46.
Zahiri, B., Tavakkoli-Moghaddam, R., & Rezaei-Malek, M. (2016). An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty. Journal of Intelligent & Fuzzy Systems, 30(5), 2737-2748.