Unlocking value through improved production decision making : a trackless mining systems analysis

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dc.contributor.authorMukonoweshuro, Christopher
dc.date.accessioned2019-05-14T12:23:41Z
dc.date.available2019-05-14T12:23:41Z
dc.date.issued2018
dc.descriptionA research report submitted to the Faculty of Engineering and the Built Environment, School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Science in Engineering.en_ZA
dc.description.abstractThis study was based on the hypothesis that there are opportunities to maximize production outputs in many existing underground hard rock trackless mining systems using the same or less resources by improvement in decision making paradigms. This is very important in the current operating environments of uncertainties and continued drop in metal prices. The project main goal was thus to carry out a detailed investigation of trackless mining production systems and test how to maximize output by focusing on three objectives, namely: analyzing key technical factors that impact the production rates in terms of tons per hour, identifying major operational activities which impact effective equipment operating hours, and identifying decision support systems (DSS) to improve operational decision making. Regarding the first objective (production rates), through the analysis of trackless mining as a serial production system, it was shown that production rates could be increased by focusing at system level, process level and work station/equipment level decisions. System level decisions must minimize the total residence time of the material (ore) in transit or work in process(WIP). This will open capacity for generating more ore. Process level decisions must reduce the gross cycle times at the work stations to equal or be below the Takt times inorder to smoothen production flow. Takt time is an important factor in a production system which shows the maximum cycle time allowed to meet the daily demand. The third level focuses on the capability of the mining equipment itself through decisions that improves the reliability, maintainability and capacity. Decision tables based on reducing the equipment failure rates (λ), improving the repair rates (µ) and the cycle times were developed to aid in making the reliability, maintainability or capacity decisions. For the second objective (operational activities), the focus is to maximize effective operating times of the equipment through reduction of delays. The study shows this can be achieved through use of real-time decision support systems (DSS) for better control of the operations. The third objective was able to identify functional modern DSS that can be implemented in trackless mining. Effectively, the study was able to highlight opportunities of generating extra capacity for trackless mines at same or less resources by focusing on the above three objectives.en_ZA
dc.description.librarianTL2019en_ZA
dc.format.extentOnline resource (xix, 217 leaves)
dc.identifier.citationMukonoweshuro, Christopher (2018) Unlocking value through improved production decision making : a trackless mining system, University of the Witwatersrand, Johannesburg, https://hdl.handle.net/10539/26923
dc.identifier.urihttps://hdl.handle.net/10539/26923
dc.language.isoenen_ZA
dc.subject.lcshRock mechanics
dc.subject.lcshMine subsidences
dc.subject.lcshMining engineering
dc.titleUnlocking value through improved production decision making : a trackless mining systems analysisen_ZA
dc.typeThesisen_ZA
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