Die vorliegende Arbeit beschäftigt sich mit der Erarbeitung eines Planungssystems, wo mit Hilfe des Konzeptes der virtuellen Realität, das effektive Fördervolumen von vorschublosen Schaufelradbaggern im Kopfblockverhieb für beliebige Schneidwiderstände, Scheibenzusammensetzungen, Schneid- und Blockgeometrien bestimmt werden kann. Hierzu wurden am Schaufelradbagger 1510 SRs 6300.50.15 im Braunkohlentagebau Nochten intensive Feldmessungen des Schneidwiderstandes sowie des effektiven Fördervolumens durchgeführt. Besonderes Augenmerk wurde auf Fördervolumenverluste gelegt, welche durch Brems- und Beschleunigungsvorgänge des Radauslegers an den Schwenkenden entstehen. Der Einfluss dieser Fördervolumenverluste an den Schwenkenden wurde analysiert und bewertet. Durch umfangreiche VR Simulationen konnten für den Schaufelradbagger SRs 6300 im Tagebau Nochten optimierte Technologieparameter (Scheibenhöhe, Spantiefe) vorgeschlagen werden.

As ore grades decline, waste rock to ore ratios increase and mines become progressively deeper mining operations face challenges in more complex scenarios. Today´s predominant means of material transport in hard-rock surface mines are conventional mining trucks however despite rationalisation efforts material transportation cost increased significantly over the last decades and currently reach up to 60% of overall mining. Thus, considerations and efforts to reduce overall mining costs, promise highest success when focusing on the development of more economic material transport methods. Semi-mobile in-pit crusher and conveyor (SMIPCC) systems represent a viable, safer and less fossil fuel dependent alternative however its viability is still highly argued as inadequate methods for the long term projection of system capacity leads to high uncertainty and consequently higher risk. Therefore, the objective of this thesis is to develop a structured method for the determination of In-pit crusher and conveyor SMIPCC system that incorporates the random behaviour of system elements and their interaction. The method is based on a structured time usage model specific to SMIPCC system supported by a stochastic simulation. The developed method is used in a case study based on a hypothetical mine environment to analyse the system behaviour with regards to time usage model component, system capacity, and cost as a function of truck quantity and stockpile capacity. Furthermore, a comparison between a conventional truck & shovel system and SMIPCC system is provided. Results show that the capacity of a SMIPCC system reaches an optimum in terms of cost per tonne, which is 24% (22 cents per tonne) lower than a truck and shovel system. In addition, the developed method is found to be effective in providing a significantly higher level of information, which can be used in the mining industry to accurately project the economic viability of implementing a SMIPCC system.

Die vorliegende Arbeit beschäftigt sich mit der Erarbeitung eines Planungssystems, wo mit Hilfe des Konzeptes der virtuellen Realität, das effektive Fördervolumen von vorschublosen Schaufelradbaggern im Kopfblockverhieb für beliebige Schneidwiderstände, Scheibenzusammensetzungen, Schneid- und Blockgeometrien bestimmt werden kann. Hierzu wurden am Schaufelradbagger 1510 SRs 6300.50.15 im Braunkohlentagebau Nochten intensive Feldmessungen des Schneidwiderstandes sowie des effektiven Fördervolumens durchgeführt. Besonderes Augenmerk wurde auf Fördervolumenverluste gelegt, welche durch Brems- und Beschleunigungsvorgänge des Radauslegers an den Schwenkenden entstehen. Der Einfluss dieser Fördervolumenverluste an den Schwenkenden wurde analysiert und bewertet. Durch umfangreiche VR Simulationen konnten für den Schaufelradbagger SRs 6300 im Tagebau Nochten optimierte Technologieparameter (Scheibenhöhe, Spantiefe) vorgeschlagen werden.

As ore grades decline, waste rock to ore ratios increase and mines become progressively deeper mining operations face challenges in more complex scenarios. Today´s predominant means of material transport in hard-rock surface mines are conventional mining trucks however despite rationalisation efforts material transportation cost increased significantly over the last decades and currently reach up to 60% of overall mining. Thus, considerations and efforts to reduce overall mining costs, promise highest success when focusing on the development of more economic material transport methods. Semi-mobile in-pit crusher and conveyor (SMIPCC) systems represent a viable, safer and less fossil fuel dependent alternative however its viability is still highly argued as inadequate methods for the long term projection of system capacity leads to high uncertainty and consequently higher risk. Therefore, the objective of this thesis is to develop a structured method for the determination of In-pit crusher and conveyor SMIPCC system that incorporates the random behaviour of system elements and their interaction. The method is based on a structured time usage model specific to SMIPCC system supported by a stochastic simulation. The developed method is used in a case study based on a hypothetical mine environment to analyse the system behaviour with regards to time usage model component, system capacity, and cost as a function of truck quantity and stockpile capacity. Furthermore, a comparison between a conventional truck & shovel system and SMIPCC system is provided. Results show that the capacity of a SMIPCC system reaches an optimum in terms of cost per tonne, which is 24% (22 cents per tonne) lower than a truck and shovel system. In addition, the developed method is found to be effective in providing a significantly higher level of information, which can be used in the mining industry to accurately project the economic viability of implementing a SMIPCC system.