The Use of VIKOR Method to Set up Place Locating of Processing Plant (Case Study: Processing Plant of South of West Azerbaijan)

Document Type : Regular Article

Authors

1 Assistant Professor, Department of Environment, Urmia University of Technology, Urmia, Iran

2 Ph.D. Candidate, Islamic Azad University, South Tehran Branch, Tehran, Iran

3 Associate Professor, Department of Environment, Urmia University of Technology, Urmia, Iran

4 B.Sc., Department of Environment, Urmia University of Technology, Urmia, Iran

Abstract

Selecting the propriate place of mineral processing plant is one of the most important steps in setting up it. It depends on several factors that make it a subroutine of multi criteria decision making (MCDM) problem. In this research, locating an optimal site for quarries processing plant, using VIKOR method is studied. Three sites were considered for this purpose and criteria such as transportation, water supply, electricity supply, gas supply, distance to markets, the price of land, topography and distance to where personal supplement place for the three possible regions were analyzed. After calculating parameters of VIKOR method, according to the obtained and ranked Q values of 0.8969, 0.0000, 0.1000, respectively for three possible cases of place A1, A2 and A3, case of A2 is selected as best choice.

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[1]     Safari M, Ataei M, Khalokakaie R, Karamozian M. Mineral processing plant location using the analytic hierarchy process—a case study: the Sangan iron ore mine (phase 1). Min Sci Technol 2010;20:691–5. doi:10.1016/S1674-5264(09)60264-7.
[2]     Ataei M. Multicriteria selection for an alumina-cement plant location in East Azerbaijan province of Iran. J South African Inst Min Metall 2005;105:507–14.
[3]     Anagnostopoulos K, Vavatsikos A. Site Suitability Analysis for Natural Systems for Wastewater Treatment with Spatial Fuzzy Analytic Hierarchy Process. J Water Resour Plan Manag 2012;138:125–34. doi:10.1061/(ASCE)WR.1943-5452.0000155.
[4]     Esmailzadeh A, Mikaeil R, Sadegheslam G, Aryafar A, Hosseinzadeh Gharehgheshlagh H. Selection of an appropriate method to extract the dimensional stones using FDAHP & TOPSIS techniques. J Soft Comput Civ Eng 2018;2:101–16.
[5]     Safari M, Kakaei R, Ataei M, Karamoozian M. Using fuzzy TOPSIS method for mineral processing plant site selection. Arab J Geosci 2012;5:1011–9. doi:10.1007/s12517-010-0234-y.
[6]     Shahsavani H, Vafaei S, Mikaeil R. Site selection for limestone paper plant using AHP-Monte Carlo approach. J Soft Comput Civ Eng 2019;3:36–46.
[7]     Shaffiee Haghshenas S, Shirani Faradonbeh R, Mikaeil R, Haghshenas SS, Taheri A, Saghatforoush A, et al. A new conventional criterion for the performance evaluation of gang saw machines. Measurement 2019;146:159–70. doi:10.1016/j.measurement.2019.06.031.
[8]     Lotfian R, Bakhtavar E, Mikaeil R. Application of grey GIS filtration to identify the potential area for cement plants in South Khorasan Province, Eastern Iran. Int J Min Geo-Engineering 2019;53:151–5.
[9]     Zhang W, Goh ATC. Multivariate adaptive regression splines and neural network models for prediction of pile drivability. Geosci Front 2016;7:45–52. doi:10.1016/j.gsf.2014.10.003.
[10]    Zhang W, Zhang R, Wu C, Goh ATC, Lacasse S, Liu Z, et al. State-of-the-art review of soft computing applications in underground excavations. Geosci Front 2020;11:1095–106. doi:10.1016/j.gsf.2019.12.003.
[11]    Zhang W, Wu C, Zhong H, Li Y, Wang L. Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization. Geosci Front 2021;12:469–77. doi:10.1016/j.gsf.2020.03.007.
[12]    Wang L, Wu C, Gu X, Liu H, Mei G, Zhang W. Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines. Bull Eng Geol Environ 2020;79:2763–75. doi:10.1007/s10064-020-01730-0.
[13]    Ataei M. Multi Criteria Decision Making Methods. Shahrood Univ Technol Press Iran 2015.