Browsing by Author "Yetkin M.E."

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    A fuzzy approach to selecting roof supports in longwall mining
    (South African Institute of Industrial Engineering, 2016) Yetkin M.E.; Simsir F.; Ozfirat M.K.; Ozfirat P.M.; Yenice H.
    As a decision-making problem, selecting proper machines and equipment plays a key role for mining sites and companies. Many factors affect this decision, and values belonging to these factors can be expressed numerically and/or non-numerically. In order to make the most appropriate decision, engineers must carry out an evaluation process that comprises all criteria that might affect decision-making. To achieve this, multi-criteria decision-making tools are used. As a result of technological developments, coal outputs in longwall mining have risen tremendously over the last decades, and longwall mechanisation has become unavoidable. The significance of powered roof supports in particular increases day-by-day, since the rate of roof support has to be in accordance with the rate of face advance in longwalls. In this study, an integrated fuzzy analytic hierarchy process and fuzzy goal programming model is used to select the most suitable powered roof supports. The procedure is applied to a real-life underground coal mine that is operated using the longwall method. Seven alternative powered roof supports are compared with each other, taking a total of 24 decision criteria under four main topics into account. In conclusion, the most suitable roof supports for the mine under study are determined and recommended to the decision-makers of the system. © 2016, South African Institute of Industrial Engineering. All rights reserved.
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    Truck selection with the fuzzy-wsm method in transportation systems of open pit mines
    (Strojarski Facultet, 2021) Malli T.; Mizrak Ozfirat P.; Yetkin M.E.; Ozfirat M.K.
    Open pit mines gain width and become more complicated as they are deeper today, and it is inevitable to carry the produced material with a truck transportation system. Therefore, in large-scale businesses, truck selection has great importance for the transportation costs to be sustainable. This study investigates the main factors and corresponding criteria influential in selection of trucks, which are the most frequent used means of transportation in open pit mines. Analytic hierarchy process and fuzzy weighted sum model are employed to solve the selection problem. Six different truck types and 20 selection criteria are considered. As a result of technical analysis, most suitable trucks are found. © 2021, Strojarski Facultet. All rights reserved.
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    RISK EVALUATION OF BELT CONVEYOR ACCIDENTS USING FAILURE MODES AND EFFECTS ANALYSIS AND EVENT TREE ANALYSIS
    (Galileo Institute of Technology and Education of the Amazon (ITEGAM), 2022) Özfırat P.M.; Özfırat M.K.; Yetkin M.E.; Pamukçu Ç.
    Belt conveyor haulage is an often-preferred haulage method in raw material transport of industrial facilities. Main components of the system often subject to breakdowns are belt, drums, roller systems and belt tension drum systems. Among these components, belt breakdowns are belt ruptures due to corrosion, inability of rotation due to corrosion and dust in cylinders and mechanical failures in drum systems and components. In this study, risk evaluation was carried out on probable risks due to breakdowns and faults in a bad conveyor facility. Realized accidents in industry are considered to specify risks. In the first step of the study, Failure modes and effects analysis was employed. Upon results of FMEA, event tree analysis was carried out for each risk to display and decrease severity degrees of risks. © 2022 by authors and Galileo Institute of Technology and Education of the Amazon (ITEGAM).
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    Risk Management for Surface Plants in Mines using Risk Matrix and BowTie Analysis
    (Technical University of Kosice, 2023) Ozfirat M.K.; Ozfirat P.M.; Yetkin M.E.
    Surface plants in mines are important parts of a mine operation. There exist offices, common areas, repair and maintenance shops, compressed air facilities, hydraulic facilities, areas where mine machinery and parts are stacked, transportation cranes and mine stock areas in surface plants. Therefore, while the mining operations are continuing, it is necessary to control all the work in the surface plants in terms of work safety and health. In this study, the risk matrix method is used to identify and prioritize the risks of surface plants in a mine. Then, the highest priority risk, which is found to be "Stock area and work environment", is considered using bowtie analysis. Four threats are determined for "Stock area and work environment" risk. These are improper ore or coal stock area, insufficient lighting in night works, lack of maintenance of field crane and dusty work environment. These threats are also modelled using bowtie analysis. As a result of this study, these threats, corresponding barriers and consequences can be managed by safety and operational engineers. © 2023 by the authors.