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dc.contributor.advisorDuffy, Kevin Jan
dc.contributor.authorHay, Graeme Kenneth
dc.date.accessioned2010-12-13T07:34:52Z
dc.date.available2011-09-01T22:20:04Z
dc.date.issued2009
dc.identifier.other332279
dc.identifier.urihttp://hdl.handle.net/10321/562
dc.descriptionSubmitted in fulfilment of the academic requirements for the degree of MTech: Industrial Engineering, Durban University of Technology, 2009.en_US
dc.description.abstractProcess simulation is an effective tool when used to simulate a system where a great deal of data exists for the process. This technique is however limited when it comes to simulating certain non-deterministic parts such as human behaviour and interaction, for which there may not be a great amount of data available. This work creates a unique hybrid model through the combination of process simulation with agent based simulation that simulates the non-deterministic parts of the process, as well as the deterministic parts. An actual industrial system forms the basis for the research, and the hybrid model is used to understand the effects that human deterioration has on the productivity of this system, as well exploring different scenarios that could lead to improved performance.en_US
dc.format.extent102 pen_US
dc.language.isoenen_US
dc.subject.lcshIndustrial productivity--Computer simulationen_US
dc.subject.lcshIndustrial management--Computer simulationen_US
dc.subject.lcshProduction management--Computer simulationen_US
dc.titleA hybrid simulation technique to predict the effects of human deterioration and learning in an industrial environmenten_US
dc.typeThesisen_US
dc.dut-rims.pubnumDUT-002339


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