A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE
Truck allocation problems are considered as one of the most substantial factors in the achievement of planned production capacity in the mining industry. Traditional truck allocation techniques (e.g. mathematical programming, queueing theories) have undergone different levels of simplifications in f...
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| Format: | Article |
| Language: | English |
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Faculty of Mining, Geology and Petroleum Engineering
2019-01-01
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| Series: | Rudarsko-geološko-naftni Zbornik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/332034 |
| _version_ | 1797207331766796288 |
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| author | Amin Moniri-Morad Mohammad Pourgol-Mohammad Hamid Aghababaei Javad Sattarvand |
| author_facet | Amin Moniri-Morad Mohammad Pourgol-Mohammad Hamid Aghababaei Javad Sattarvand |
| author_sort | Amin Moniri-Morad |
| collection | DOAJ |
| description | Truck allocation problems are considered as one of the most substantial factors in the achievement of planned production capacity in the mining industry. Traditional truck allocation techniques (e.g. mathematical programming, queueing theories) have undergone different levels of simplifications in formulating actual haulage operations under heterogeneous circumstances. In this study, the truck allocation problem is analysed through the development of the simulation-based optimization (SBO) method for the optimization of truck assignment considering uncertainties during fleet operation. This method provides an integrated structure by the simultaneous combination of optimization and stochastic discrete-event simulation. The objective function is to minimize the total number of trucks for haulage operation with discrete-event simulation employed to model the constraints. As a case study, the fleet operation of the Sungun copper mine is investigated to accomplish an optimal truck allocation for various working benches in the mine site. Operation details are evaluated through different indicators such as utilization, waiting times, and the amount of transported materials for each working bench. Finally, the operation bottlenecks are recognized for each situation. |
| first_indexed | 2024-04-24T09:21:13Z |
| format | Article |
| id | doaj.art-3f658493f32143be80e2fb23f296fa0a |
| institution | Directory Open Access Journal |
| issn | 0353-4529 1849-0409 |
| language | English |
| last_indexed | 2024-04-24T09:21:13Z |
| publishDate | 2019-01-01 |
| publisher | Faculty of Mining, Geology and Petroleum Engineering |
| record_format | Article |
| series | Rudarsko-geološko-naftni Zbornik |
| spelling | doaj.art-3f658493f32143be80e2fb23f296fa0a2024-04-15T15:49:25ZengFaculty of Mining, Geology and Petroleum EngineeringRudarsko-geološko-naftni Zbornik0353-45291849-04092019-01-01344576510.17794/rgn.2019.4.6A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINEAmin Moniri-Morad0Mohammad Pourgol-Mohammad1Hamid Aghababaei2Javad Sattarvand3Department of Mining Engineering, Sahand University of Technology, 51335-1996, Tabriz, IranDepartment of Mechanical Engineering, Sahand University of Technology, 51335-1996, Tabriz, IranDepartment of Mining Engineering, Sahand University of Technology, 51335-1996, Tabriz, IranDepartment of Mining and Metallurgical Engineering, University of Nevada, 89557, Reno, USATruck allocation problems are considered as one of the most substantial factors in the achievement of planned production capacity in the mining industry. Traditional truck allocation techniques (e.g. mathematical programming, queueing theories) have undergone different levels of simplifications in formulating actual haulage operations under heterogeneous circumstances. In this study, the truck allocation problem is analysed through the development of the simulation-based optimization (SBO) method for the optimization of truck assignment considering uncertainties during fleet operation. This method provides an integrated structure by the simultaneous combination of optimization and stochastic discrete-event simulation. The objective function is to minimize the total number of trucks for haulage operation with discrete-event simulation employed to model the constraints. As a case study, the fleet operation of the Sungun copper mine is investigated to accomplish an optimal truck allocation for various working benches in the mine site. Operation details are evaluated through different indicators such as utilization, waiting times, and the amount of transported materials for each working bench. Finally, the operation bottlenecks are recognized for each situation.https://hrcak.srce.hr/file/332034haul truck allocation optimization discrete-event simulation production capacity |
| spellingShingle | Amin Moniri-Morad Mohammad Pourgol-Mohammad Hamid Aghababaei Javad Sattarvand A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE Rudarsko-geološko-naftni Zbornik haul truck allocation optimization discrete-event simulation production capacity |
| title | A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE |
| title_full | A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE |
| title_fullStr | A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE |
| title_full_unstemmed | A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE |
| title_short | A METHODOLOGY FOR TRUCK ALLOCATION PROBLEMS CONSIDERING DYNAMIC CIRCUMSTANCES IN OPEN PIT MINES, CASE STUDY OF THE SUNGUN COPPER MINE |
| title_sort | methodology for truck allocation problems considering dynamic circumstances in open pit mines case study of the sungun copper mine |
| topic | haul truck allocation optimization discrete-event simulation production capacity |
| url | https://hrcak.srce.hr/file/332034 |
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