Using Robust-DEA optimization approach to analyze performance and efficiency of a mine in north of Iran

Article history: Received: October 1, 2016 Received in revised format: November 16, 2016 Accepted: November 24, 2016 Available online: November 27, 2016 Performance of mines can be affected by different factors such as safety and economic factors. This study aims to analyze the influence of safety and economic factors on mines’ performance. To this purpose, a framework is proposed based on a Data Envelopment Analysis (DEA), Robust Data Envelopment Analysis (RDEA) and common weight Robust Data Envelopment Analysis (CWRDEA) to determine the factors affecting on performance of mines. In this study, for the first time, integrated economic and safety factors are considered for evaluation of mines performance. To analyze safety and economic factors, this research gathers real data from a mine with 56 sites in south of Iran. Based on different DEA models, different sites become the best site among other sites, but RDEA is much closer to real situation than basic DEA and CWRDEA is the most efficient approach in real situation. © 2017 Growing Science Ltd. All rights reserved.

[1]  C. Mar Molinero,et al.  Behind DEA efficiency in financial institutions , 1970 .

[2]  Adel Hatami-Marbini,et al.  A robust optimization approach for imprecise data envelopment analysis , 2010, Comput. Ind. Eng..

[3]  Adel Hatami-Marbini,et al.  Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data , 2014, OR Spectr..

[4]  S. Sarkar,et al.  Conservation of biodiversity of the coastal resources of Sundarbans, Northeast India: an integrated approach through environmental education. , 2003, Marine pollution bulletin.

[5]  R. V. Ramani,et al.  MINE HEALTH AND SAFETY AT THE TURN OF THE MILLENNIUM , 1999 .

[6]  Tommi Kauppinen,et al.  Sustainability in the exploration phase of mining: a Data Envelopment Analysis approach∗ , 2015 .

[7]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[8]  Melvyn Sim,et al.  The Price of Robustness , 2004, Oper. Res..

[9]  George L. Germain,et al.  Practical loss control leadership , 1996 .

[10]  G. Emre Gürcanli,et al.  An occupational safety risk analysis method at construction sites using fuzzy sets , 2009 .

[11]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[12]  Hu-Chen Liu,et al.  A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method , 2015, Appl. Soft Comput..

[13]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[14]  Akbar Esfahanipour,et al.  Human health and safety risks management in underground coal mines using fuzzy TOPSIS. , 2014, The Science of the total environment.

[15]  Erhan Bozdag,et al.  Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets , 2015, Expert Syst. Appl..

[16]  Reza Tavakkoli-Moghaddam,et al.  An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty , 2016, J. Intell. Fuzzy Syst..

[17]  Karim C. Abbaspour,et al.  Assessing the impact of climate change on water resources in Iran , 2009 .

[18]  Abraham Charnes,et al.  Sensitivity analysis of the additive model in data envelopment analysis , 1990 .

[19]  Ken Takahashi,et al.  Asbestos and Asbestos-related Diseases in Vietnam: In reference to the International Labor Organization/World Health Organization National Asbestos Profile , 2013, Safety and health at work.

[20]  Celal Karpuz,et al.  Stochastic modeling of accident risks associated with an underground coal mine in Turkey , 2009 .

[21]  Anil Mital,et al.  Nonfatal occupational injuries in the United States Part II-back injuries , 1999 .

[22]  Ming-Tsung Wu,et al.  A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study , 2013, Comput. Ind. Eng..

[23]  Seyed Jafar Sadjadi,et al.  A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran , 2010 .

[24]  Michael Karmis.  Mine health and safety management , 2001 .

[25]  Vladislav Kecojevic,et al.  Pilot Sample Risk Analysis for Underground Coal Mine Fires and Explosions Using MSHA Citation Data , 2009 .

[26]  Patrick J Coleman,et al.  Measuring mining safety with injury statistics: lost workdays as indicators of risk. , 2007, Journal of safety research.

[27]  John D. Leeth,et al.  Data Mining Mining Data: MSHA Enforcement Efforts, Underground Coal Mine Safety, and New Health Policy Implications , 2003 .

[28]  P. Barach,et al.  Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems , 2000, BMJ : British Medical Journal.

[29]  W. Haddon,et al.  The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. , 1974, The Journal of trauma.

[30]  Geert Wets,et al.  Benchmarking road safety: lessons to learn from a data envelopment analysis. , 2009, Accident; analysis and prevention.

[31]  Mostafa Mardani,et al.  Measuring technical efficiency of potato production in Iran using robust data envelopment analysis , 2015 .

[32]  J. Corrigan,et al.  COMMITTEE ON DATA STANDARDS FOR PATIENT SAFETY , 2004 .

[33]  Michael Lettenmeier,et al.  Data envelopment analysis as a tool for sustainable foodstuff consumption , 2008 .

[34]  Geert Wets,et al.  Combining road safety information in a performance index. , 2008, Accident; analysis and prevention.

[35]  R. Färe,et al.  The measurement of efficiency of production , 1985 .

[36]  Dragan Komljenovic,et al.  An analysis of equipment-related fatal accidents in U.S. mining operations: 1995-2005 , 2007 .

[37]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[38]  Tore J. Larsson,et al.  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 , 2005 .

[39]  Ali Azadeh,et al.  Modeling and optimizing efficiency gap between managers and operators in integrated resilient systems: The case of a petrochemical plant , 2014 .

[40]  Tore J. Larsson,et al.  The distribution of occupational injury risks in the Victorian construction industry , 2002 .

[41]  A. Shokouhi,et al.  An Integrated Model with Conservative Levels to Evaluate the DMUs Efficiencies for Uncertain Data , 2014 .