Models for mining equipment selection

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 1730-1736

  Burt, C ^a   Caccetta, L ^a   Hill, S ^a   Welgama, P ^b  

^a CURTIN UNIVERSITY   (Australia)

^b Rio Tinto Limited Australia   (Australia)

Author keywords

Artificial intelligence; Equipment selection; Linear programming; Shovel truck productivity

Indexed keywords

AVERAGE DISTANCE; COMPUTATIONAL RESULTS; COMPUTATIONAL TIME; EMERGENCY CARE; EMERGENCY MEDICAL CARE; EQUIPMENT SELECTION; EXACT METHODS; FACILITY LOCATION PROBLEM; FACILITY LOCATIONS; FIRE STATION; GENERAL NETWORKS; HEURISTIC APPROACH; INDUSTRIAL OPTIMIZATION; LEVEL OF SERVICE; MANUFACTURING INDUSTRIES; NETWORK OPTIMIZATION PROBLEM; NP-HARD; OPTIMAL LOCATIONS; OPTIMIZATION PROBLEMS; P-MEDIAN; P-MEDIAN PROBLEMS; QUALITY OF SOLUTION; REDUCTION METHOD; RUSHTON; SERVICE INDUSTRIES; STRUCTURAL MODELS; SUBOPTIMAL SOLUTION; TRAVEL TIME; ARTIFICIAL INTELLIGENCE TECHNIQUES; EQUIPMENT REPLACEMENT; GEOLOGICAL INFORMATION; KNOWLEDGE-BASED METHODS; LINEAR APPROXIMATIONS; LINEAR PROGRAMMING AND GENETIC ALGORITHM; MIXED INTEGER LINEAR PROGRAMMING MODEL; OPERATION EFFICIENCIES;

ACCIDENT PREVENTION; AMBULANCES; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION MAKING; HEURISTIC METHODS; INDUSTRY; LINEAR PROGRAMMING; MINING EQUIPMENT; MODEL STRUCTURES; OPTIMIZATION; SITE SELECTION; STATISTICS; AUTOMOBILES; CONSTRUCTION INDUSTRY; COST FUNCTIONS; EXPERT SYSTEMS; GENETIC ALGORITHMS; INTEGER PROGRAMMING; ION BEAMS; LOADERS; MATERIALS HANDLING; MINE TRUCKS; MINING; NONLINEAR PROGRAMMING; OPERATIONS RESEARCH; PRODUCTION CONTROL; PRODUCTIVITY; QUEUEING THEORY; SHOVELS;

LOCATION; FLEET OPERATIONS;

EID: 80053106076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Amirkhanian, S. and Baker, N (1992), Expert System for Equipment Selection for Earthmoving operations, Journal of Construction Engineering and Management, 118(2), 318-331, June.
2. Atkinson, T. (1992), Selection and sizing of mining equipment, Chapter 13.3, pp. 1311-1333, SME Mining Engineering Handbook, Vol 2. SME, Colorado, 2nd edition, 1992.
3. Bascetin, A. (2004), An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine, Mining Technology, 113, A192-A199, June.
4. Cebesoy, T., Gozen, M. and Yahsi, S. (1995), A systematic decision making model for optimum surface mining equipment selection, Mine Planning and Equipment Selection 1995, 369-377.
5. Celebi, N. (1998), An equipment selection and cost analysis system for openpit coal mines, International Journal of Surface Mining, Reclamation and Environment, 12, 181-187.
6. Gove, D. and Morgan, W. (1994), Optimizing truck-loader matching, Mining Engineering, 46(10), 1179-1185.
7. Huang, Y. and Kumar, U. (1994), Optimizing the number of Load-Haul-Dump machines in a Swedish mine by using queuing theory - A case study, Mine Planning and Equipment Selection, Balkema: Rotterdam, 1994.
8. Hrebar, M. and Dagdelen, K. (1979), Chapter 44: Equipment selection using simulation of dragline stripping methods, 16th application of computers and operations research in the mineral industry, New York, 1979.
9. Jayawardane, A. and Harris, F. (1990), Further development of integer programming in earthwork optimization, Journal of Construction Engineering and Management, 116(1), 18-34, March.
10. Kannan, G., Schmitz, L. and Larsen, C. (2000), An industry perspective on the role of equipment-based earthmoving simulation, In Proceedings of the 2000 Winter Simulation Conference. 1945-1952. (Pubitemid 32869770)
11. Karshenas, S. (1989), Truck Capacity Selection for Earthmoving, Journal of Construction Engineering and Management, 115(2), 212-227, June.
12. Kesimal, A. (1998), Shovel-truck productivity and efficiency studies for overburden removal in an open-pit coal mine, Transactions of the Institute of Mining and Metallurgy A, 107, A37-A40.
13. Martin, J., Martin, T., Bennett, T., and Martin, K. (1982), Surface Mining Equipment, Martin Consultants Inc., Colorado, USA.
14. Morgan, W. and Peterson, L. (1968), Determining Shovel-Truck Productivity, Mining Engineering, 76-80, December.
15. Nagatani, T. (2001), Bunching transition in a time-headway model of a bus route, Physical Review E, 63(036115), 1-7.
16. Naoum, S. and Haidar, A. (2000), A hybrid knowledge base system and genetic algorithms for equipment selection, Engineering, Construction and Architectural Management, 7(1), 3-14.
17. Nunnally, S. (1977), Managing Construction Equipment, Prentice-Hall, 1977, New Jersey.
18. O'Shea, J. B. (1964), An Application of the Theory of queues to the Forecasting of Shovel-Truck Fleet Productions, Masters Thesis, University of Illinois.
19. Smith, S., Wood, G. and Gould, M. (2000), A new earthworks estimating methodology, Construction Management and Economics, 18(2), 219-228.
20. Welgama, P. and Gibson, P. (1995), A hybrid knowledge based/optimization system for automated selection of materials handling system, Computers Industrial Engineering, 28(2), 205-217.