Change search
ReferencesLink to record
Permanent link

Direct link
Evaluation of Mining Automation with Production Simulation
2015 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The demand for minerals has been increasing ever since they first were found, and since the mining deposits contains lower and lower grades of minerals the situation for mining companies are becoming more challenging every year. Therefore the need for more effective mining has never been higher. Boliden has for many years been working with simulations of various kinds and has for the last years been considering more and more autonomous mining solutions. In Garpenberg, Boliden already runs with several remote controlled machines with operators placed above the ground. This is a significant step towards making the mines safer and more efficient.An underground mine is a complex process with logistics and many different operations. It starts with the main ramp, and spreading out from the ramp different drifts are being developed in order to mine the whole ore body. From the drifts or stopes the ore is transported to a crusher before it is transported up to the surface.The thesis will focus on automation of different production activities, e.g. bolting, drilling and loading, and thereby calculate e.g. production outcome, utilization rates of machines and finding bottlenecks. In addition shorter operating times for both manual and autonomous machines will also be investigated. As final studies the time between that a job is finished and the can be started and maintenance will be simulated along with a maxed scenario where almost all machines are improved.The aim is to provide Boliden with results that indicate how much potential they might have in their production in Kristineberg with improvements of the current equipment, machines and procedures. Further the aim is to see if it is worth to invest in autonomous machines. Will autonomous machines result in a higher production outcome?The results showed that the bolters were clearly the bottlenecks that set the pace of the whole production. As the bolters were so undoubtedly the bottlenecks, improvements of the other machines did not extensively impact the results. The result for 10% faster bolters became 5,6 %, for autonomous bolters the production increased with6,1 % and when an extra bolter was inserted it resulted in a 7,6 % higher production. Further, improvement of the time between that a job is finished and the next can be started and wait time before repair for micro faults showed that to increase the production, focus must not always lie on the machines.In the future, Boliden needs to work on reducing the bottlenecks the bolters are causing. From the production point of view they should buy another bolter to tackle it. But is has to be further investigated from a more economic standpoint as well, as it causes extra costs for personnel, maintenance, capital investment etc. as well.

Place, publisher, year, edition, pages
Keyword [en]
Keyword [sv]
URN: urn:nbn:se:ltu:diva-57858Local ID: e79b35f9-7107-4cfb-82f0-0e92007988eeOAI: diva2:1031246
External cooperation
Subject / course
Student thesis, at least 30 credits
Educational program
Mechanical Engineering, master's level
Validerat; 20150629 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(15804 kB)0 downloads
File information
File name FULLTEXT02.pdfFile size 15804 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link