Open-Pit Mine Optimization with Maximum Satisfiability

Minerals & Metallurgical Processing - Tập 36 - Trang 757-764 - 2019
Matthew Deutsch1
1Colorado School of Mines, Denver, USA

Tóm tắt

A common casualty of modern open-pit mine optimization is the assurance that the resulting design is actually achievable. Optimized mine plans that consider value and a bare minimum of precedence constraints do not, in general, translate into practical, operational mine designs that can be used in the field. Ultimate pits may come to a sharp point at the bottom. Schedules may require taking small parcels of material from many disparate areas of the pit in a single period, and grade control polygons may be ragged, narrow, and not minable with realistic equipment. In this paper, all of these problems are addressed by encoding these three fundamental open-pit mine optimization problems as maximum satisfiability problems. Maximum satisfiability provides a useful framework for problems that are non-linear and may guarantee the optimality that metaheuristics cannot.

Tài liệu tham khảo

Lerchs H, Grossmann I (1965) Optimum design of open-pit mines. Oper Res 12:B59 Gilbert JW (1966) A mathematical model for the optimal design of open pit mines (doctoral dissertation). University of Toronto Lipkewich MP, Borgman L (1969) Two-and three-dimensional pit design optimization techniques. A decade of digital computing in the mineral industry. pp 505–523 Chen T (1976) 3d pit design with variable wall slope capabilities. Proc. of the 14th APCOM Khalokakaie R, Dowd PA, Fowell RJ (2000) Lerchs–grossmann algorithm with variable slope angles. Min Technol 109(2):77–85 Caccetta L, Giannini L (1988) Generation of minimum search patterns in the optimum design of open pit mines. AusIMM Bull Proc 293:57–61 Tarski A (1956) The concept of truth in formalized languages. Logic Semant Metamath 2:152–278 Shannon CE (1938) A symbolic analysis of relay and switching circuits. Electr Eng 57(12):713–723 Davis M, Putnam H (1958) Computational methods in the propositional calculus. Rensselaer Polytechnic Institute, p 64 Davis M, Logemann G, Loveland D (1962) A machine program for theorem-proving. Commun ACM 5(7):394–397 Franco J, Martin J (2009) A history of satisfiability. In: Biere, Armin, Heule M, and van Maaren H (eds) Handbook of Satisfiability 185:3–74 Tseitin G (1968) On the complexity of derivation in propositional calculus. Studies in constructive mathematics and mathematical logic, pp 115–125 Marques-Silva J (2008). Practical applications of boolean satisfiability. In: 2008 9th International Workshop on Discrete Event Systems. IEEE, pp 74–80 Berg J, Hyttinen A, Järvisalo M (2015) Applications of MaxSAT in data analysis. Pragmatics of SAT Johnson TB (1968) Optimum open pit mine production scheduling (tech. rep.). California Univ Berkeley Operations Research Center Goldberg AV, Tarjan RE (1988) A new approach to the maximum-flow problem. J ACM (JACM) 35(4):921–940 Hochbaum DS (2001) A new-old algorithm for minimum-cut and maximum-flow in closure graphs. Networks 37(4):171–193 Deutsch M, Gonzalez E, Williams M (2015) Using simulation to quantify uncertainty in ultimate-pit limits and inform infrastructure placement. Min Eng 67(12):49–55 Dagdelen K, Johnson T (1986) Optimum open pit mine production scheduling by Lagrangian parameterization. Proc. of the 19th APCOM, pp 127–142 Newman AM, Rubio E, Caro R, Weintraub A, Eurek K (2010) A review of operations research in mine planning. Interfaces 40(3):222–245 Eén N, Sörensson N (2006) Translating pseudo-boolean constraints into sat. JSAT 2:1–26 Joshi S, Martins R, Manquinho V (2015) Generalized totalizer encoding for pseudo-boolean constraints. In: International conference on principles and practice of constraint programming. pp 200–209 Pourrahimian Y, Askari-Nasab H, Tannant, D (2009) Production scheduling with minimum mining width constraints using mathematical programming Isaaks I, Treloar E, Elenbaas T (2014) Optimum dig lines for open pit grade control. In: Proceedings of ninth international mining geology conference. The Australasian Institute of Mining and Metallurgy, pp 425–432 Neufeld K, Norrena C, Deustch C (2005) Guide to geostatistical grade control and dig limit determination, vol 1. p 63 Ruiseco JR, Williams J, Kumral M (2016) Optimizing ore–waste dig-limits as part of operational mine planning through genetic algorithms. Nat Resour Res 25(4):473–485 Tabesh M, Askari-Nasab H (2013) Automatic creation of mining polygons using hierarchical clustering techniques. J Min Sci 49(3):426–440 Deutsch M (2017) A branch and bound algorithm for open pit grade control polygon optimization. Proc. of the 19th APCOM Frisch AM, Giannaros PA (2010) Sat encodings of the at-most-k constraint. Some old, some new, some fast, some slow. In: Proc. of the tenth int. workshop of constraint modelling and reformulation Deutsch M, Kusuma N, Allen L, Godoy M (2019) Implementing optimal grade control polygons at Newmont’s mines. Presentation at the 2019 SME Conference, Denver, CO