Selecting the most suitable blasting pattern using AHP-TOPSIS method: Sungun copper mine

2013 ◽  
Vol 49 (6) ◽  
pp. 967-975 ◽  
Author(s):  
M. Yari ◽  
M. Monjezi ◽  
R. Bagherpour
2015 ◽  
Vol 60 (1) ◽  
pp. 375-386
Author(s):  
Mojtaba Yari ◽  
Raheb Bagherpour ◽  
Saeed Jamali ◽  
Fatemeh Asadi

Abstract One of the most important operations in mining is blasting. Improper design of blasting pattern will cause technical and safety problems. Considering impact of results of blasting on next steps of mining, correct pattern selection needs a great cautiousness. In selecting of blasting pattern, technical, economical and safety aspects should be considered. Thus, most appropriate pattern selection can be defined as a Multi Attribute Decision Making (MADM) problem. Linear assignment method is one of the very applicable methods in decision making problems. In this paper, this method was used for the first time to evaluate blasting patterns in mine. In this ranking, safety and technical parameters have been considered to evaluate blasting patterns. Finally, blasting pattern with burden of 3.5 m, spacing of 4.5 m, stemming of 3.8 m and hole length of 12.1 m has been presented as the most suitable pattern obtained from linear assignment model for Sungun Copper Mine.


2009 ◽  
Vol 46 (6) ◽  
pp. 967-973 ◽  
Author(s):  
S. Gheibie ◽  
H. Aghababaei ◽  
S.H. Hoseinie ◽  
Y. Pourrahimian

2013 ◽  
Vol 58 (3) ◽  
pp. 953-968 ◽  
Author(s):  
Arash Ebrahimabadi ◽  
Iraj Alavi

Abstract Plant species selection is a multi-criteria evaluation decision and has a strategic importance for many companies. The conventional methods for plant species selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi-criteria decision-making methods are proposed. The aim of this study is to use the fuzzy technique for order preference by similarity to ideal solution (F.TOPSIS) methods for the selection of plant species in mine reclamation plan. Plant type selection and planting to protect the environment and the reclamation of the mine are some of the most important solutions. Therefore, the objective of the current research study is to choose the proper plant types for reclamation of Sarcheshmeh Copper Mine using Fuzzy-topsis method. In this regard, primarily, surrounding area of Sarcheshmeh copper mine, one of the world’s 10 biggest copper mine which is located near Kerman city of Iran, are surveyed, to choose the best plant type for reclamation of disturbance area. With this respect, based on reclamation plan, primary criteria were consisted of kinds of post mining land use, climate, and nature of soil. Comparison matrixes were then obtained based on experts’ opinion and plant types were subsequently prioritized using the Fuzzy Topsis method. Secondary factors considered through the analysis were as follows: perspective of the region, resistance against disease and insects, strength and method of growth, availability to plant type, economic efficiency, protection of soil, storing water, and prevention of pollution. Finally, suitable plant types in the mining perimeter were prioritized as: Amygdalus scoparia, Tamarix, Pistachio Wild, Ephedra, Astragalus, Salsola, respectively.


2008 ◽  
Vol 58 (4) ◽  
pp. 693-700 ◽  
Author(s):  
T. Nasrabadi ◽  
G. R. Nabi Bidhendi ◽  
A. R. Karbassi ◽  
H. Hoveidi ◽  
I. Nasrabadi ◽  
...  

2013 ◽  
Vol 58 (4) ◽  
pp. 1133-1144 ◽  
Author(s):  
Amin Moniri Morad ◽  
Javad Sattarvand

Abstract Maintenance cost of the equipment is one of the most important portions of the operating expenditures in mines; therefore, any change in the equipment productivity can lead to major changes in the unit cost of the production. This clearly shows the importance and necessity of using novel maintenance methods instead of traditional approaches, in order to reach the minimum sudden occurrence of the equipment failure. For instance, the tires are costly components in maintenance which should be regularly inspected and replaced among different axles. The paper investigates the current condition of equipment tires at Sungun Copper Mine and uses neural networks to estimate the wear of the tires. The Input parameters of the network composed of initial tread depth, time of inspection and consumed tread depth by the time of inspection. The output of the network is considered as the residual service time ratio of the tires. The network trained by the feed-forward back propagation learning algorithm. Results revealed a good coincidence between the real and estimated values as 96.6% of correlation coefficient. Hence, better decisions could be made about the tires to reduce the sudden failures and equipment breakdowns.


2011 ◽  
Vol 29 (4) ◽  
pp. 581-596 ◽  
Author(s):  
Mohsen Abbaszadeh ◽  
Kourosh Shahriar ◽  
Mostafa Sharifzadeh ◽  
Mehrdad Heydari

Author(s):  
Amin Moniri Morad ◽  
Mohammad Pourgol-Mohammad ◽  
Javad Sattarvand

Surface mining equipment play an important role in capital investments and operating costs of mining industry. Improvement of the equipment performance leads to improvement of operation cost. Efficient operation and maintenance techniques centered on reliability are the methods of choice. Recent researches promote the necessity of utilization of optimal maintenance methods instead of traditional methods. This study aims in application of optimal maintenance methods for reduction of occurrence of sudden failures and equipment break down. Evaluation of reliability-centered maintenance is demonstrated on mining dump trucks operation and maintenance are utilized for Sungun copper mine. The operation data is used to quantify the failure and maintenance profile for each component required for reliability analysis. The modeling is done by using reliability block diagram and solved by Monte Carlo simulation for assessment of the dynamic behavior of the equipment. The reliability of the system is evaluated and importance of each component is estimated. The importance analysis is used to identify the items which have critical impact on reliability and availability of overall equipment for prioritizing the decision for improvements. The reliability importance measure is computed for the components by weighted importance method. Trend analysis is conducted to select proper model for the maintenance profile. Availability estimations demonstrate overall performance of the equipment on its life span.


2014 ◽  
Vol 21 (11) ◽  
pp. 4344-4351 ◽  
Author(s):  
M. Yari ◽  
M. Monjezi ◽  
R. Bagherpour ◽  
S. Jamali

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