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Underground mine scheduling modelled as a flow shop: a review of relevant work and future challenges
ABB Corp Res, Control Optimizat & Analyt, Automat Solut, Västerås, KTH Royal Inst Technol.
KTH Royal Inst Technol.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-2306-9241
2018 (English)In: Journal of the southern African institute of mining and metallurgy, ISSN 2225-6253, Vol. 118, no 12, p. 1265-1276Article in journal (Refereed) Published
Abstract [en]

Advanced planning and automation are increasingly important in modern mines. Sophisticated methods for long-term mine planning are often used, and the advent of autonomous machines makes the actual operation more predictable. However, the interface between these two timescales, i.e. the scheduling of the mobile production fleet, often limits the ability to operate mines at maximum profitability. We show how scheduling the production fleet in an underground mine can be modelled as a flow shop. A flow shop is a general abstract process formulation that captures the key properties of a scheduling problem without going into specific details. Thus, the flow shop enables mine scheduling to reap the benefits of scheduling research from other industries. We review recent results from the mining community and the flow shop community, and introduce scheduling methods used in these two fields. This work aims at providing value to researchers from the mining community who want to leverage their skill set, as well as to theoretical researchers by presenting the mining process as a potential application area. Lastly, we discuss the results, and outline some future challenges and opportunities facing the industry.

Place, publisher, year, edition, pages
Marshalltown, Soth Africa: South African Institute of Mining and Metallurgy , 2018. Vol. 118, no 12, p. 1265-1276
Keywords [en]
underground mining, scheduling, flow shop, optimization
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72735DOI: 10.17159/2411-9717/2018/v118n12a5ISI: 000453404400005Scopus ID: 2-s2.0-85062236013OAI: oai:DiVA.org:ltu-72735DiVA, id: diva2:1283918
Note

Validerad;2019;Nivå 2;2019-01-30 (inah)

Available from: 2019-01-30 Created: 2019-01-30 Last updated: 2019-09-13Bibliographically approved

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Greberg, Jenny

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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