Review of the applicability of discrete event simulation for process optimization in mining

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Schäfer, Daniel
dc.contributor.author Both, Christian
dc.date.accessioned 2016-12-22T11:13:38Z
dc.date.available 2016-12-22T11:13:38Z
dc.date.issued 2016-12-12
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/23961
dc.description.abstract Discrete event simulation has become an increasingly popular tool for optimization and decision-making in mining. However, the time consuming modelling work and high programming effort of a simulation study is normally only considered feasible for large-scale operations examined on a project basis. According to the company’s goal to make simulation applicable to a wider range of operations, two case studies have been performed within this thesis, where possible applications of a pre-developed simulation tool for mining were evaluated under the overall goal of transport optimization. Valuable operational goals could be achieved by examining profitability of stockpile use for ore transport, influence of dumper size on ore transport and transport capacity by increasing hauling distance using variable equipment composition. Next to operative results, gained knowledge during the case studies has been transferred to a simulation procedure suited for simulation studies in quarry mining. The simulation procedure highly values the verification and validation of achieved results. Important phases of simulation have been identified as well as strategies for their successful implementation. Consistently, suitable test methods were proposed for each phase result, which include statistical tests for the data collection and data preparation phase as well as tailor-made test methods for implementation and execution of the simulation model. Finally, all results obtained by simulation have been critically reviewed by comparison to solutions obtained by a deterministic spreadsheet approach in order to give a validated answer to best and most effective use of the simulation tool. The comparison of both approaches has revealed that simulation is most beneficial when interactions of equipment are hardly predictable due to their dependence on dynamic processes. en
dc.format.extent 62 + 2
dc.language.iso en en
dc.title Review of the applicability of discrete event simulation for process optimization in mining en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Insinööritieteiden korkeakoulu fi
dc.subject.keyword discrete event simulation en
dc.subject.keyword surface mining en
dc.subject.keyword fleet optimization en
dc.subject.keyword verification and validation en
dc.identifier.urn URN:NBN:fi:aalto-201612226254
dc.programme.major European Mining Course fi
dc.programme.mcode R3008 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Rinne, Mikael
dc.programme Master’s Programme in Transportation and Environmental Engineering fi


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