Skip to main content

Literature Review

  • Chapter
  • First Online:
Equipment Selection for Mining: With Case Studies

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 150))

Abstract

In this chapter, we present a detailed literature review of the equipment selection problem in surface mining as well as the closely related equipment selection problem in the construction industry. We review the modelling and solution methods that have emerged in both the mining and operations research literature. We also consider a number of closely related problems such as shovel-truck productivity, mining method selection, scheduling, dispatching and allocation problems. Our review considers a broad range of modelling and solution approaches that can or have been used for these related problems.

The original version of this chapter was revised: Originator type has been changed and the chapter author names have been included. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-76255-5_11

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. L. Abdel-Malek, L.J. Resare, Algorithm based decision support system for the concerted selection of equipment in machining/assembly cells. Int. J. Prod. Res. 38(2), 323–339 (2000)

    Article  Google Scholar 

  2. S. Alarie, M. Gamache, Overview of solution strategies used in truck dispatching systems for open pit mines. Int. J. Surf. Min. Reclam. Environ. 16(1), 59–76 (2002)

    Article  Google Scholar 

  3. S. Amirkhanian, N. Baker, Expert system for equipment selection for earth-moving operations. J. Construction Eng. Manag. 118(2), 318–331 (1992)

    Article  Google Scholar 

  4. J. Anderson, T.G. Crainic, M. Christiansen, Service network design with asset management: formulations and comparative analyses. Transportation Res. Part C Emerg. Technol. 17(2), 197–207 (2009a)

    Article  Google Scholar 

  5. J. Anderson, T.G. Crainic, M. Christiansen, Service network design with management and coordination of multiple fleets. Eur. J. Oper. Res. 193, 377–389 (2009b)

    Article  MathSciNet  Google Scholar 

  6. A. Armacost, C. Barnhart, K. Ware, Composite variable formulations for express shipment service network design. Transportation Sci. 36(1), 1–20 (2002)

    Article  Google Scholar 

  7. R. Baldacci, N. Christofides, A. Mingozzi, An exact algorithm for the vehicle routing problem based on the set partitioning formulation with additional cuts. Math. Program. 115(2), 351–385 (2008)

    Article  MathSciNet  Google Scholar 

  8. S. Bandopadhyay, M. Nelson, Multiple-criteria group decision support systems with application to a surface mine equipment selection problem, in Computers in the Mineral Industry, ed. by R.V. Ramani, B.K. Mozumdar, A.B. Samaddar (Balkema, Rotterdam, 1994), pp. 111–126

    Google Scholar 

  9. S. Bandopadhyay, P. Venkatasubramanian, Expert system as decision aid in surface mine equipment selection. Int. J. Surf. Mining 1, 159–165 (1987)

    Google Scholar 

  10. C. Barnhart, R.R. Schneur, Air network design for express shipment service. Oper. Res. 44(6), 852–863 (1996)

    Article  Google Scholar 

  11. C. Barnhart, N. Krishnan, D. Kim, K. Ware, Network design for express shipment delivery. Comput. Optim. Appl. 21(3), 239–262 (2002)

    Article  MathSciNet  Google Scholar 

  12. A. Başçetin, A. Kesimal, The study of a fuzzy set theory for the selection of an optimum coal transportation system from pit to the power plant. Int. J. Surf. Min. Reclam. Environ. 13(3), 97–101 (1999)

    Article  Google Scholar 

  13. A. Başçetin, O. Oztaş, and A. I. Kanlı, A new developed software for equipment selection in mining engineering, in Mine Planning and Equipment Selection 2004 : Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, ed. by M. Hardygora, G. Paszkowska, M. Sikora, Wroclaw, Poland, 1–3 September, London (2004), pp. 527–536. A.A. Balkema. ISBN 0415359376

    Google Scholar 

  14. A. Başçetin, An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine. Mining Technol. Trans. Intitute Mining Metallurgy Part A 113, A192–A199 (2004)

    Google Scholar 

  15. M. Baxter, M. Brown, H.S. Gan, A decision support tool for equipment replacement in forestry harvesting operations, in Proceedings of the 45th Annual Conference of the ORSNA, pp. 363–372, https://secure.orsnz.org.nz/conf45/index.php. Accessed 24 December 2010

  16. A.A. Bazzazi, M. Osanloo, B. Karimi, Optimal open pit mining equipment selection using fuzzy multiple attribute decision making approach. Archives Min. Sci. 54(2), 301–320 (2009)

    Google Scholar 

  17. D.P. Bennett, C.A. Yano, A decomposition approach for an equipment selection and multiple product routing problem incorporating environmental factors. Eur. J. Oper. Res. 156(3), 643–664 (2004)

    Article  Google Scholar 

  18. D. Bienstock, Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (Kluwer Academic, 2001)

    Google Scholar 

  19. D. Bienstock, O. Günlük, Computational experience with a difficult mixed-integer multicommodity flow problem. Math. Program. 68(1–3), 213–237 (1995)

    MathSciNet  MATH  Google Scholar 

  20. D. Bienstock, O. Günlük, Capacitated network design-polyhedral structure and computation. Informs J. Comput. 8, 243–259 (1996)

    Article  Google Scholar 

  21. D. Bienstock, G. Muratore, Strong inequalities for capacitated survivable network design problems. Math. Program. 89, 127–147 (2000)

    Article  MathSciNet  Google Scholar 

  22. M. Bitarafan, M. Ataei, Mining method selection by multiple criteria decision making tools. J. South African Inst. Min. Metallurgy 104(9), 493–498 (2004)

    Google Scholar 

  23. G.H. Blackwell, Estimation of large open pit haulage truck requirements. CIM Bull. 92(1028), 143–148 (1999)

    Google Scholar 

  24. N. Boland, M. Krishnamoorthy, A. Ernst, J. Ebery, Preprocessing and cutting for multiple allocation hub location problems. Eur. J. Oper. Res. 155(3), 638–653 (2004)

    Article  MathSciNet  Google Scholar 

  25. A. Bozorgebrahimi, R. Hall, M. Morin, Equipment size effects on open pit mining performance. Int. J. Surf. Min. Reclam. Environ. 19(1), 41–56 (2005)

    Article  Google Scholar 

  26. K. Büdenbender, T. Grünert, H.-J. Sebastian, A hybrid tabu search/branch-and-bound algorithm for the direct flight network design problem. Transportation Sci. 34(4), 364–380 (2000)

    Article  Google Scholar 

  27. C. Burt, An Optimisation Approach to Materials Handling in Surface Mines. Ph.D. thesis, Mathematics and Statistics, Curtin University of Technology, Bentley, Perth, Australia (2008). http://espace.library.curtin.edu.au:80/R?func=dbin-jump-full&local_base=gen01-era02&object_id=165737

  28. C. Burt, L. Caccetta, P. Welgama, L. Fouché, Equipment selection with heterogeneous fleets for multiple period schedules. J. Oper. Res. Soc. 62, 1498–1509 (2011)

    Article  Google Scholar 

  29. C.N. Burt, L. Caccetta, Equipment selection for surface mining: a review. Interfaces 44(2), 143–162 (2014)

    Article  Google Scholar 

  30. C.N. Burt, L. Caccetta, L. Fouché, P. Welgama, An MILP approach to multi-location, multi-period equipment selection for surface mining with case studies. J. Ind. Manag. Optim. 12(2), 403–430 (2016)

    Article  MathSciNet  Google Scholar 

  31. Christina Naomi Burt and Louis Caccetta, Match factor for heterogeneous truck and loader fleets. Int. J. Min. Reclam. Environ. 21, 262–270 (2007)

    Article  Google Scholar 

  32. L. Caccetta, S. Hill, An application of branch and cut to open pit mine scheduling. J. Global Optim. 27, 349–365 (2003)

    Article  MathSciNet  Google Scholar 

  33. M. Caramia, F. Guerriero, A heuristic approach to long-haul freight transportation with multiple objective functions. Omega 37(3), 600–614 (2009)

    Article  Google Scholar 

  34. T. Cebesoy, Surface mining equipment cost analysis with a developed linear break even model. Int. J. Surf. Min. Reclam. Environ. 11, 53–58 (1997)

    Article  Google Scholar 

  35. T. Cebesoy, M. Gözen, S. Yahşi, A systematic decision making model for optimum surface mining equipment selection, in Mine Planning and Equipment Selection 1995: Proceedings of the Fourth International Symposium on Mine Planning and Equipment Selection, eds. by R.K. Singhal, A.K. Mehrotra, J. Hadjigeorgiou, R. Poulin, Calgary, Canada, 31st October-3 November 1995, pp. 369–377, Rotterdam, 1995. A.A. Balkema

    Google Scholar 

  36. N. Çelebi, An equipment selection and cost analysis system for openpit coal mines. Int. J. Surf. Min. Reclam. Environ. 12, 181–187 (1998)

    Article  Google Scholar 

  37. M. Chen, A heuristic for solving manufacturing process and equipment selection problems. Int. J. Prod. Res. 37(2), 359–374 (1999)

    Article  Google Scholar 

  38. S. Clèment, N. Vagenas, Use of genetic algorithms in a mining problem. Int. J. Surf. Min. Reclam. Environ. 8(4), 131–136 (1994)

    Article  Google Scholar 

  39. A.E. Cohn, Composite-Variable Modeling for Large-Scale Problems in Transportation and Logistics. Ph.D. thesis, Massachusetts Institute of Technology (2002)

    Google Scholar 

  40. J.-F. Cordeau, M. Iori, G. Laporte, J.J.S. Gonzalez, A branch-and-cut algorithm for the pickup and delivery traveling salesman problem with LIFO loading (Technical report, CIRRELT, 2007)

    MATH  Google Scholar 

  41. T.G. Crainic, M. Gendreau, J.M. Farvolden, A simplex-based tabu search method for capacitated network design. Informs J. Comput. 12(3), 223–236 (2000)

    Article  MathSciNet  Google Scholar 

  42. K.L. Croxton, B. Gendron, T.L. Magnanti, Models and methods for merge-in-transit operations. Transportation Sci. 37(1), 1–22 (2003)

    Article  Google Scholar 

  43. J.M. Czaplicki, On a number of spare haulage units for the shovel-truck system in open pit mines. Int. J. Surf. Min. Reclam. Environ. 6, 57–59 (1992)

    Article  Google Scholar 

  44. S. Dahl, U. Derigs. Planning in express carrier networks: a simulation study. in Operations Research Proceedings 2008: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), eds. by B. Fleischmann, K.-H. Borgwardt, R. Klein, University of Augsburg, September 3–5 2008, pp. 259–264 (Springer, Heidelberg, 2009)

    Chapter  Google Scholar 

  45. B. Denby, D. Schofield, Applications of expert systems in equipment selection for surface mine design. Int. J. Surf. Min. Reclam. 4(4), 165–171 (1990)

    Article  Google Scholar 

  46. U. Derigs, S. Friederichs, S. Schäfer, A new approach for air cargo network planning. Transportation Sci. 43(3), 370–380 (2009)

    Article  Google Scholar 

  47. J. Douglas, Prediction of shovel-truck production: A reconciliation of computer and conventional estimates. Technical report no. 37, Stanford University, California (1964)

    Google Scholar 

  48. P.S. Dunston, J.V. Sinfield, T.Y. Lee, Technology development decision economics for real-time rolling resistance monitoring of haul roads. J. Construction Eng. Manag. 133(5), 393–402 (2007)

    Article  Google Scholar 

  49. S.M. Easa, Earthwork allocations with linear unit costs. J. Construction Eng. Manag. 114(4), 641–655 (1988)

    Article  Google Scholar 

  50. D. Edwards, H. Malekzadeh, S. Yisa, A linear programming decision tool for selecting the optimum excavator. Structural Surv. 19(2), 113–120 (2001)

    Article  Google Scholar 

  51. N. Eldin, J. Mayfield, Determination of most economical scrapers fleet. J. Construction Eng. Manag. 131(10), 1109–1114 (2005)

    Article  Google Scholar 

  52. R. Epstein, S. Gaete, F. Caro, A. Weintraub, P. Santibanez, J. Catalan, Optimizing long term planning for underground copper mines, in Proceedings of the Copper 2003-Cobre 2003, 5th International Conference, vol. I, Santiago, Chile, pp. 265–279. CIM and the Chilean Institute of Mining (2003)

    Google Scholar 

  53. L. Equi, G. Gallo, S. Marziale, A. Weintraub, A combined transportation and scheduling problem. Eur. J. Oper. Res. 97(1), 94–104 (1997)

    Article  Google Scholar 

  54. S. Erçelebi, C. Kirmanli, Review of surface mining equipment selection techniques, in [102], pp. 547–553

    Google Scholar 

  55. F. Farid, T.L. Koning, Simulation verifies queuing program for selecting loader-truck fleets. J. Construction Eng. Manag. 120(2), 386–404 (1994)

    Article  Google Scholar 

  56. A. Frangioni, B. Gendron, 0–1 reformulations of the multicommodity capacitated network design problem. Discrete Appl. Math. 157(6), 1229–1241 (2009)

    Article  MathSciNet  Google Scholar 

  57. A. Frangioni, B. Gendron, A stabilized structured Dantzig-Wolfe decomposition method (Technical report, CIRRELT, 2010)

    MATH  Google Scholar 

  58. C. Fricke, Applications of Integer Programming in Open Pit Mining. Ph.D. thesis, Department of Mathematics and Statistics, University of Melbourne (2006)

    Google Scholar 

  59. S. Frimpong, E. Asa, J. Szymanski, Intelligent modeling: advances in open pit mine design and optimization research. Int. J. Surf. Min. Reclam. Environ. 16(2), 134–143 (2002)

    Article  Google Scholar 

  60. G. Galiano, T. Kaihara, G. Liotta, G. Stecca, A comprehensive model for short-haul and long-haul transportation, in 2010 8th IEEE International Conference on Industrial Informatics (INDIN) (IEEE, 2010), pp. 939–944

    Google Scholar 

  61. L. Gambardella, M. Mastrolilli, A. Rizzoli, M. Zaffalon, Managing resource allocation, scheduling and simulation for an intermodal container terminal. J. Belgian Oper. Res. Soc. 40(3–4), 195–209 (2002)

    MATH  Google Scholar 

  62. R. Ganguli, S. Bandopadhyay, Expert system for equipment selection. Int. J. Surf. Min. Reclam. Environ. 16(3), 163–170 (2002)

    Article  Google Scholar 

  63. B. Gendron, T. Crainic, A. Frangioni, Multicommodity capacitated network design, in Telecommunications Network Planning, ed. by B. Sansó, P. Soriano (Kluwer Academic Publishers, Dordrecht, 1998), pp. 1–19

    Google Scholar 

  64. A. Gleixner, Solving large-scale open pit mining production scheduling problems by integer programming. Master’s thesis (Technische Universität, Berlin, 2008)

    Google Scholar 

  65. F.H. Griffis Jr., Optimizing haul fleet size using queueing theory. J. Construction Eng. Div. 94(1), 41–54 (1968)

    Google Scholar 

  66. R. Halatchev, The time aspect of the optimum long-term open pit production sequencing, in Application of computers and operations research in the mineral industry, ed. by S. Bandopadhyay, pp. 133–146, Littleton, Colorado (2002). Society of Mining Engineers

    Google Scholar 

  67. R.A. Hall, L.K. Daneshmend, Reliability modelling of surface mining equipment: data gathering and analysis methodologies. Int. J. Surf. Min. Reclam. Environ. 17(3), 139–155 (2003)

    Article  Google Scholar 

  68. C. Hane, C. Barnhart, E. Johnson, R. Marsten, G. Nemhauser, G. Sigismondi, The fleet assignment problem: solving a large-scale integer program. Math. Program. 70(1–3), 211–232 (1995)

    MathSciNet  MATH  Google Scholar 

  69. M. Hassan, G. Hogg, D. Smith, A construction algorithm for the selection and assignment of materials handling equipment. Int. J. Prod. Res. 23(2), 381–392 (1985)

    Article  Google Scholar 

  70. M. Hewitt, Integer programming based search. Ph.D. thesis, Industrial and Systems Engineering, Georgia Institute of Technology (2009)

    Google Scholar 

  71. Y. Huang, U. Kumar, Optimising the number of load-haul-dump machines in a swedish mine, in Mine Planning and Equipment Selection 1994: Proceedings of the third International Symposium on Mine Planning and Equipment Selection, ed. by A.G. Pasamehmetoglu, Istanbul, Turkey, 18–20 October 1994, pp. 353–358, Rotterdam (1994). A.A. Balkema

    Google Scholar 

  72. Y. Ileri, Drayage Optimization in Truck/Rail Networks. Ph.D. thesis, Industrial and Systems Engineering, Georgia Institute of Technology (2006)

    Google Scholar 

  73. S. Irnich, Netzwerk-Design für zweistufige Transportsysteme und ein Branch-and-Price-Verfahren für das gemischte Direkt- und Hubflugproblem. Ph.D. thesis, Lehrstuhl für Unternehmensforschung, Rheinisch-Westfälische Technische Hochschule (2002)

    Google Scholar 

  74. Karelia Government. Cat 992g (2007), http://www.gov.karelia.ru/gov/News/2001/1002.jpg

  75. S. Jamshid Mousavi, A. Kaveh, A. Afshar, Fuzzy optimization model for earthwork allocations with imprecise parameters. J. Construction Eng. Manag. 133(2), 181–190 (2007)

    Article  Google Scholar 

  76. S. Karshenas, Truck capacity selection for earthmoving. J. Construction Eng. Manag. 115(2), 212–227 (1989)

    Article  Google Scholar 

  77. A. Kesimal, Shovel-truck productivity and efficiency studies for overburden removal in an open-pit coal mine. Trans. Inst. Min. Metallurgy Sect. A Min. Industry 107, A37–A40 (1998)

    Google Scholar 

  78. R. Khan, Selection of material handling equipment. Master’s thesis, NWFP University of Engineering and Technology, Peshawar, Pakistan (2006)

    Google Scholar 

  79. D. Kim, Large scale transportation service network design: models, algorithms and applications. Ph.D. thesis, Department of Civil and Environmental Engineering, Massacheusetts Institute of Technology (1997)

    Google Scholar 

  80. M. Kumral, P. Dowd, A simulated annealing approach to mine production scheduling. J. Oper. Res. Soc. 56, 922–930 (2005)

    Article  Google Scholar 

  81. A. Land, A. Doig, An automatic method of solving discrete programming problems. Econometrica 28(3), 497–520 (1960)

    Article  MathSciNet  Google Scholar 

  82. M. Leontidis, B. Patmanidou, Cost estimation of earthmoving done by hydraulic shovels and trucks in mines, in Mine Planning and Equipment selection 2000: Proceedings of the Ninth International Symposium on Mine Planning and Equipment Selection /Athens/Greece/6-9 November 2000, eds. by G.N. Panagiotou, T.N. Michalakopoulos, pp. 631–634, Rotterdam (2000). A.A. Balkema

    Google Scholar 

  83. M. Lübbecke, J. Desrosiers, Selected topics in column generation. Oper. Res. 53(6), 1007–1023 (2005)

    Article  MathSciNet  Google Scholar 

  84. J. Mamer, R. McBride, A decomposition-based pricing procedure for large-scale linear programs: an application to the linear multicommodity flow problem. Manag. Sci. 46(5), 693–709 (2000)

    Article  Google Scholar 

  85. T. Markeset, U. Kumar, Application of LCC techniques in selection of mining equipment and technology, in [102], pp. 635–640

    Google Scholar 

  86. M. Marzouk, O. Moselhi, Simulation optimization for earthmoving operations using genetic algorithms. Construction Manag. Econ. 20(6), 535–543 (2002a)

    Article  Google Scholar 

  87. M. Marzouk, O. Moselhi, Selecting earthmoving equipment fleets using genetic algorithms, in Proceedings of the 2002 Winter Simulation Conference eds. by E. Yucesan, C. Chen, J. Snowdon, J. Charnes, vol. 2, pp. 1789–1796. IEEE Digital(2002b)

    Google Scholar 

  88. M. Marzouk, O. Moselhi, Multiobjective optimization of earthmoving operations. J. Construction Eng. Manag. 130(1), 105–114 (2004)

    Article  Google Scholar 

  89. A. Michiotis, D. Xerocostas, N. Galitis, A new integrated system for selecting mining equipment. Comput. Industrial Eng. 34(2), 391–397 (1998)

    Article  Google Scholar 

  90. S. Hamid, L. Mirhosseyni, P. Web, A hybrid fuzzy knowledge-based expert system and genetic algorithm for efficient selection and assignment of material handling equipment. Expert Syst. Appl. 36, 11875–11887 (2009)

    Article  Google Scholar 

  91. S. Mitrović-Minić, R. Krishnamurti, G. Laporte, Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows. Transp. Res. 38(8), 669–685 (2004)

    Article  Google Scholar 

  92. L. Moccia, J.-F. Cordeau, G. Laporte, S. Ropke, M.P. Valentini, Modeling and solving a multimodal transportation problem with flexible-time and scheduled services. Networks 57(1), 53–68 (2011)

    Article  MathSciNet  Google Scholar 

  93. R. Montemanni, L. Gambardella, Exact algorithms for the minimum power symmetric connectivity problem in wireless networks. Comput. Oper. Res. 32(11), 2891–2904 (2005)

    Article  MathSciNet  Google Scholar 

  94. B. Morgan, Cost effective equipment applications zones, in [103], pp. 323–328

    Google Scholar 

  95. B. Morgan, Optimizing truck-loader matching, in [103], pp. 313–320

    Google Scholar 

  96. O. Moselhi, A. Alshibani, Optimization of earthmoving operations in heavy civil engineering projects. J. Construction Eng. Manag. 135(10), 948–954 (2009)

    Article  Google Scholar 

  97. S. Naoum, A. Haidar, A hybrid knowledge base system and genetic algorithms for equipment selection. Eng. Construction Architectural Manag. 7(1), 3–14 (2000)

    Article  Google Scholar 

  98. K. Nassar, Managing construction equipment buy and sell decisions replacement: a simulation game, in Proceedings of the 37th Annual Conference on ASC Associated Schools of Construction, pp. 187–198 (2001)

    Google Scholar 

  99. A. Newman, E. Rubio, R. Caro, A. Weintraub, K. Eurek, A review of operations research in mine planning. Interfaces 40(3), 222–245 (2010)

    Article  Google Scholar 

  100. T. O’Hara, S. Suboleski, Costs and cost estimation, in SME Mining Engineering Handbook, vol. 2, ed. by H.L. Hartman (Colorado, SME, Littleton, 1992), pp. 405–424

    Google Scholar 

  101. J.B O’Shea, An application of the theory of queues to the forecasting of shovel-truck fleet productions. Master’s thesis, University of Illinois, Urbana, Illinois (1964)

    Google Scholar 

  102. G.N. Panagiotou, T.N. Michalakopoulos, eds. Mine Planning and Equipment Selection 2000: Proceedings of the Ninth International Symposium on Mine Planning and Equipment Selection/Athens/Greece/6-9 November 2000, Rotterdam (2000). A.A. Balkema

    Google Scholar 

  103. A.G. Pasamehmetoglu, ed. Mine Planning and Equipment Selection 1994 : Proceedings of the Third International Symposium on Mine Planning and Equipment Selection, Istanbul, Turkey, 18-20 October 1994, Rotterdam (1994). A.A. Balkema

    Google Scholar 

  104. M.B. Pedersen, T.G. Crainic, Optimization of intermodal freight train service schedules on train canals (Technical report, CIRRELT, 2007)

    Google Scholar 

  105. W.B. Powell, Y. Sheffi, Design and implementation of an interactive optimization system for network design in the motor carrier industry. Oper. Res. 37(1), 12–29 (1989)

    Article  Google Scholar 

  106. M. Preuss, B. Hellingrath. Tactical planning of sustainable transportation by logistics service providers for the automotive industry, in Proceedings of the 43rd CIRP International Conference on Manufacturing Systems, Vienna, 26-28 May 2010, pp. 252–262 (2010)

    Google Scholar 

  107. C. Raack, A. Koster, S. Orlowski, R. Wessäly, On cut-based inequalities for capacitated network design polyhedra. Networks 57(2), 141–156 (2011)

    MathSciNet  MATH  Google Scholar 

  108. S. Rajagopalan, Capacity expansion and equipment replacement: a unified approach. Oper. Res. 46(6), 846–857 (1998)

    Article  Google Scholar 

  109. D. Raman, S. Nagalingam, B. Gurd, G. Lin, Quantity of material handling equipment–a queuing theory based approach. Robotics Comput. Integr. Manufacturing 25, 348–357 (2009)

    Article  Google Scholar 

  110. M. Savelsbergh, M. Sol, Drive: dynamic routing of independent vehicles. Oper. Res. 46(4), 474–490 (1998)

    Article  Google Scholar 

  111. C. Schexnayder, S. Weber, B. Brooks, Effect of truck payload weight on production. J. Construction Eng. Manag. 125(1), 1–7 (1999)

    Article  Google Scholar 

  112. S.D. Smith, J.R. Osborne, M.C. Forde, Productivity estimation in back-acter/dump-truck earth-moving operations. Proc. Inst. Civil Eng. Transport 111, 125–131 (1995)

    Google Scholar 

  113. S.D. Smith, G.S. Wood, M. Gould, A new earthworks estimating methodology. Construction Manag. Econ. 18(2), 219–228 (2000)

    Article  Google Scholar 

  114. C.S. Sung, S.H. Song, Integrated service network design for a cross-docking supply chain network. J. Oper. Res. Soc. 54(12), 1283–1295 (2003)

    Article  Google Scholar 

  115. C. Ta, J. Kresta, J. Forbes, H. Marquez, A stochastic optimization approach to mine truck allocation. Int. J. Surf. Mining Reclam. Environ. 19(3), 162–175 (2005)

    Article  Google Scholar 

  116. S. Tan, R.V. Ramani, Optimization models for scheduling ore and waste production in open pit mines, in 23rd Application of Computers and Operations Research in the Mineral Industry ed. by Y.C. Kim, pp. 781–791, Littleton, Colorado (1992). Society for Mining, Metallurgy, and Exploration

    Google Scholar 

  117. P. Tomlingson, Equipment replacement considerations, in Mine Planning and Equipment Selection 2000: Proceedings of the Ninth International Symposium on Mine Planning and Equipment Selection/Athens/Greece/6-9 November 2000 eds. by G.N. Panagiotou, T.N. Michalakopoulos, pp. 691–693, Rotterdam (2000). A.A. Balkema

    Google Scholar 

  118. E. Topal, S. Ramazan, A new MIP model for mine equipment scheduling by minimizing maintenance cost. Eur. J. Oper. Res. 207(2), 1065–1071 (2010)

    Article  Google Scholar 

  119. K.H. van Dam, Z. Lukszo, L. Ferreira, A. Sirikijpanichkul, Planning the location of intermodal freight hubs: an agent based approach, in Proceedings of the IEEE International Conference on Networking, Sensing and Control, pp. 187–192. IEEE (2007)

    Google Scholar 

  120. D. Webster, R. Reed, A material handling system selection model. AIIE Trans. 3(1), 13–20 (1971)

    Article  Google Scholar 

  121. Y. Wei, Y. Fan, X. Weixuan, An integrated methodology for decision making of mining method selection. Int. J. Manuf. Technol. Manage. 5(1/2), 10–19 (2003)

    Google Scholar 

  122. W. Wiesemann, D. Kuhn, B. Rustem, Maximizing the net present value of a project under uncertainty. Eur. J. Oper. Res. 202(2), 356–367 (2010)

    Article  MathSciNet  Google Scholar 

  123. L. Xinchun, Z. Weicheng, Z. Youdi, Application of genetic algorithm to optimize the number and size of equipment of surface mine, in Mine Planning and Equipment Delection 2004: Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, 1-3 September eds. by M. Hardygora, G. Paszkowska, M. Sikora, pp. 637–639, London (2004). A.A. Balkema

    Google Scholar 

  124. R. Zhang, W.Y. Yun, H. Kopfer, Heuristic-based truck scheduling for inland container transportation. OR Spectrum 32(3), 787–808 (2010)

    Article  Google Scholar 

  125. Y. Zhang, Advances in LTL Load Plan Design. Ph.D. thesis, Georgia Institute of Technology (2010)

    Google Scholar 

  126. L. Zhongzhou, L. Qining, Erlangian cyclic queueing model for shovel-truck haulage systems. in Mine Planning and Equipment Selection ed. by R. Singhal (1988), pp. 423–428

    Google Scholar 

Download references

Acknowledgements

Components of this chapter have been published in [29]

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christina N. Burt .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Burt, C.N., Caccetta, L. (2018). Literature Review. In: Burt, C., Caccetta, L. (eds) Equipment Selection for Mining: With Case Studies. Studies in Systems, Decision and Control, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-76255-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-76255-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76254-8

  • Online ISBN: 978-3-319-76255-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics