Life-of-mine optimization for integrated open stope development and production scheduling using a mixed-integer linear programming framework
Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties associated with underground mine planning makes it challenging and open to further research. This paper presents a mathematical programming fram...
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| Published in: | Mining technology (2018) Vol. 132; no. 2; pp. 106 - 120 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London, England
Taylor & Francis
03.04.2023
SAGE Publications |
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| ISSN: | 2572-6668, 2572-6676 |
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| Abstract | Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties associated with underground mine planning makes it challenging and open to further research. This paper presents a mathematical programming framework based on mixed-integer linear programming (MILP) formulation for integrated open stope development and production scheduling. Additionally, the MILP model incorporates backfilling, operational levels control, and stope extraction duration control during production scheduling. The MILP model generated a net present value of $244.7 M and determined the capital, ventilation, operational, and ore pass development schedules as well as mining and processing schedules for a gold project with 25 years mine life. A total of 2.48 Mt of material was extracted and processed out of 2.88 Mt mineralized material. |
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| AbstractList | Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties associated with underground mine planning makes it challenging and open to further research. This paper presents a mathematical programming framework based on mixed-integer linear programming (MILP) formulation for integrated open stope development and production scheduling. Additionally, the MILP model incorporates backfilling, operational levels control, and stope extraction duration control during production scheduling. The MILP model generated a net present value of $244.7 M and determined the capital, ventilation, operational, and ore pass development schedules as well as mining and processing schedules for a gold project with 25 years mine life. A total of 2.48 Mt of material was extracted and processed out of 2.88 Mt mineralized material. |
| Author | Pourrahimian, Yashar Ben-Awuah, Eugene Appianing, Emmanuel John Andrew |
| Author_xml | – sequence: 1 givenname: Emmanuel John Andrew surname: Appianing fullname: Appianing, Emmanuel John Andrew organization: Laurentian University – sequence: 2 givenname: Eugene surname: Ben-Awuah fullname: Ben-Awuah, Eugene email: ebenawuah@laurentian.ca organization: Laurentian University – sequence: 3 givenname: Yashar surname: Pourrahimian fullname: Pourrahimian, Yashar organization: University of Alberta |
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| Cites_doi | 10.1287/inte.1090.0492 10.1504/IJMME.2012.047998 10.1016/j.resourpol.2017.12.004 10.1016/j.ijmst.2016.09.015 10.1080/17480930.2019.1701968 10.1016/0167-9031(90)90318-M 10.1080/17480930.2019.1576576 10.1179/1743286310Y.0000000001 10.1007/s10913-006-0008-9 10.1080/17480930.2010.549656 10.1179/1743286311Y.0000000011 10.17159/2411-9717/2016/v116n9a1 |
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| Copyright | 2023 Institute of Materials, Minerals and Mining and The AusIMM Published by Taylor & Francis on behalf of the Institute and The AusIMM 2023 2023 Institute of Materials, Minerals and Mining and The AusIMM Published by Taylor & Francis on behalf of the Institute and The AusIMM |
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| Keywords | backfilling open stope mining capital (decline) development production schedule Mixed-integer linear programming ore pass development |
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| References | Ataee-Pour 2005; 41 Nhleko, Tholana, Neingo 2018; 56 Little, Topal, Knights 2013; 113 Musingwini 2016; 116 Chanda 1990; 11 Pourrahimian, Askari–Nasab, Tannant 2012; 4 Afum, Ben-Awuah, Askari-Nasab 2020; 34 Ben-Awuah, Richter, Elkington, Pourrahimian 2016; 26 Nehring, Topal, Knights 2010; 119 Newman, Rubio, Caro, Weintraub, Eurek 2010; 40 Ben-Awuah, Askari-Nasab 2011; 25 Huang, Li, Ben-Awuah, Afum, Hu 2020; 34 Nehring, Topal, Little 2010; 110 Little, Topal, Knights 2011; 120 CIT0030 CIT0010 CIT0012 CIT0011 Nehring M (CIT0024) 2010; 110 CIT0014 CIT0013 CIT0016 CIT0015 CIT0018 CIT0019 Alford C (CIT0004) 2006 CIT0021 CIT0020 CIT0001 CIT0023 Little J (CIT0017) 2013; 113 CIT0022 CIT0003 CIT0025 CIT0002 CIT0005 CIT0027 CIT0026 CIT0007 CIT0029 CIT0006 CIT0028 CIT0009 CIT0008 |
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| Snippet | Extraction and development sequences must be scheduled strategically in order to maximize the life of mine. The complexities and computational difficulties... |
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| SubjectTerms | backfilling capital (decline) development Mixed-integer linear programming open stope mining ore pass development production schedule |
| Title | Life-of-mine optimization for integrated open stope development and production scheduling using a mixed-integer linear programming framework |
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