SIMULATION-BASED OPTIMIZATION OF MAINTENANCE CREW CONFIGURATION IN MINING OPERATIONS

Download

Şahin Furkan Şahiner - Thesis.pdf

Date

2022-2

Author

Şahiner, Şahin Furkan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

481
views

318
downloads

A mining company is expected to have three essential assets which are human resources, ore reserve to be exploited, and an equipment fleet. On this basis, trucks, excavators, drilling machines, crushers, mills, classifiers, and concentrators are commonly covered in mining equipment fleets. On the other hand, human resource employed in operational activities is vital for labor-intensive production industries like mining. Here, the number and qualifications of people employed in a mining site should be decided according to the divisional capacity requirements allocated to different operational branches. Among these divisions, the maintenance facility is generally one of the most labor-intensive parts since a maintenance crew configuration requires a vast number of people with different qualifications to ensure the equipment fleet's performability. In this regard, the current research study aims to develop a continuous-event simulation model to optimize the maintenance crew's configuration, i.e. capacity and qualification, for an operable mining area where different clusters of failure modes are available for multiple equipment working coordinately for joint production. The developed model was implemented for a five-excavator fleet employed in a surface coal mine. The model input dataset covered three years records of maintenance works classified in mechanical and electrical failure types. The simulation outcomes showed that the total cost of indirect and direct financial consequences of maintenance crew could be minimized for a crew including six persons in the electrical division and four persons in the mechanical division. Moreover, the downtime profiles of the excavators for this optimized scenario were also evaluated. The analysis showed that Excavator ID-31 is expected to be down most among the five excavators for the observation period.

Subject Keywords

Continuous Event Simulation, Optimization, Maintenance Crew, Mining, Workforce

URI

https://hdl.handle.net/11511/96269

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Operation Quality Indicators for Shovel-Truck Systems at Open-Pit Coal Mines Voronov, Anton; Voronov, Yuri; Voronov, Artyom; Demirel, Nuray (EDP Sciences; 2019-01-01) Stripping and mining operations at open-pit coal mines are performed mainly by heavy shovel-truck systems (STS). One of the main problems of the STS is a rather low level of its operation quality, an objective assessment of which is an important step in identifying the causes of low quality and effective ways to improve it. The purpose of assessing the STS operation quality is defined as a functional criterion. The next important step of the assessment is to choose the set of indicators that most characteri...
Development of a virtual reality-based serious game for occupational health and safety training in underground mining Gürer, Servet; Erkayaoğlu, Mustafa; Sürer, Elif; Department of Mining Engineering (2021-2-5) Mining is a hazardous multi-disciplinary sector for workers and the working environment. It can be said that one of the most important methods to combat these risks is training. These pieces of training are usually given with traditional methods, but thanks to today’s technological developments, new training methods are also emerging, and simulations and serious games have become widely used tools in training. In this study, MINING-VIRTUAL, which is a very detailed and realistic serious game, is introduced....
Microscopic fuel consumption modelling for haulage trucks using discrete-event simulation Kına, Elif; Gölbaşı, Onur; Department of Mining Engineering (2021-2-5) Mining is one of the machine-intensive sectors, and a vast amount of energy is consumed in many stages of mining operations. Among these operations, haulage systems hold a significant share in energy consumption. At this point, diesel fuel, a form of fossil fuel, is frequently used for haul trucks such that fuel-induced cost becomes a major contributor to the operating cost, especially in surface mining. Fuel consumption also leads to greenhouse gas emissions, in addition to its financial burden. Therefore,...
Development of a multi-scenario simulation model for spare parts inventory optimization in mining operations Şenses, Sena; Gölbaşı, Onur; Department of Mining Engineering (2021-8) The growing market competition compels many industries to change their operational structures at strategic and operational levels dramatically. It has been recognized that inventory management requires continuous monitoring and improvement and it is vital for businesses to ensure smooth operations by avoiding production loss and reducing the overall cost of inventory. For various production companies operating in different industries, inventory is considered as one of the most expensive assets. Among differ...
Discrete-event simulation of a maintenance policy with multiple scenarios Turan, Merve Olmez; Gölbaşı, Onur (2020-01-01) The current study offers a discrete-event simulation algorithm developed to reveal the effects of different maintenance work packages on the failure and the cost profiles of the mining systems. The algorithm is stochastic with two possible optimization criteria as maximizing system availability and minimizing maintenance cost for a given period. A numeric example is also provided to highlight how the effectiveness of a maintenance policy may differ with its content. In the example, 42 alternative maintenanc...

Citation Formats

Ş. F. Şahiner, “SIMULATION-BASED OPTIMIZATION OF MAINTENANCE CREW CONFIGURATION IN MINING OPERATIONS,” M.S. - Master of Science, Middle East Technical University, 2022.