A new model for automated pushback selection

被引:10
|
作者
Jelvez, Enrique [1 ,2 ]
Morales, Nelson [1 ,2 ]
Askari-Nasab, Hooman [3 ]
机构
[1] Univ Chile, Adv Min Technol Ctr, Av Tupper 2007, Santiago 8370451, Chile
[2] Univ Chile, Dept Min Engn, Delphos Mine Planning Lab, Santiago, Chile
[3] Univ Alberta, Sch Min & Petr Engn, Dept Civil & Environm Engn, Min Optimizat Lab, Edmonton, AB, Canada
关键词
Long-term open-pit mine planning; Nested pits; Pushback selection; Mixed integer programming; DESIGN; UNCERTAINTY; PSEUDOFLOW; ALGORITHMS;
D O I
10.1016/j.cor.2018.04.015
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The design of pushbacks is essential to long-term open pit mine scheduling because it partitions the pit space into individual units, controlling ore and waste production. In this paper, a new model is proposed for the pushback selection procedure, which consists of characterizing the potential pushbacks based on the comprehensive family of nested pits and selecting those ones that meet a set of criteria, for instance, bounded ore and waste. An advantage of this method is the possibility to automate the pushback selection methodology, applying well-defined criteria for the selection and reducing the time employed in the planning task. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] The Development of a New Methodology for Automated Sounding Selection on Nautical Charts
    Lovrincevic, Dejan
    NASE MORE, 2019, 66 (02): : 70 - 77
  • [42] Negative selection—a new performance measure for automated order execution
    Miles Kumaresan
    Nataša Krejić
    Sanja Lončar
    Journal of Mathematics in Industry, 11
  • [43] Automated Model Selection in Principal Component Analysis: A New Approach Based on the Cross-Validated Ignorance Score
    Russo, Stefania
    Li, Guangyu
    Villez, Kris
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (30) : 13448 - 13468
  • [44] Buccinator sandwich pushback: A new technique for treatment of secondary velopharyngeal incompetence
    Hill, C
    Hayden, C
    Riaz, M
    Leonard, AG
    CLEFT PALATE-CRANIOFACIAL JOURNAL, 2004, 41 (03): : 230 - 237
  • [45] Automated deep learning model development based on weight sensitivity and model selection statistics
    Yalcin, Damla
    Deliismail, Ozgun
    Tuncer, Basak
    Boy, Onur Can
    Bayar, Ibrahim
    Kayar, Gizem
    Ozpinar, Muratcan
    Sildir, Hasan
    CHEMICAL ENGINEERING SCIENCE, 2025, 306
  • [46] A New Model for Player Selection in Cricket
    Saikia, Hemanta
    Bhattacharjee, Dibyojyoti
    Radhakrishnan, Unni Krishnan
    INTERNATIONAL JOURNAL OF PERFORMANCE ANALYSIS IN SPORT, 2016, 16 (01): : 373 - 388
  • [47] A new model for appropriate selection of window
    Ebrahimpour, A. (Salam_ebr@yahoo.com), 1600, Springer Science and Business Media Deutschland GmbH (22):
  • [48] New consideration on criteria of model selection
    Amari, SI
    NEURAL NETWORKS AND SOFT COMPUTING, 2003, : 25 - 30
  • [49] New formulation of SVM for model selection
    Adankon, Mathias M.
    Cheriet, Mohamed
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 1900 - +
  • [50] A new model selection method for SVM
    Lebrun, G.
    Lezoray, O.
    Charrier, C.
    Cardot, H.
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS, 2006, 4224 : 99 - 107