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A hybrid simulation technique to predict the effects of human deterioration and learning in an industrial environment

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dc.contributor.advisor Duffy, Kevin Jan
dc.contributor.author Hay, Graeme Kenneth
dc.date.accessioned 2010-12-13T07:34:52Z
dc.date.available 2011-09-01T22:20:04Z
dc.date.issued 2009
dc.identifier.other 332279
dc.identifier.uri http://hdl.handle.net/10321/562
dc.description Submitted in fulfilment of the academic requirements for the degree of MTech: Industrial Engineering, Durban University of Technology, 2009. en_US
dc.description.abstract Process 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.extent 102 p en_US
dc.language.iso en en_US
dc.subject.lcsh Industrial productivity--Computer simulation en_US
dc.subject.lcsh Industrial management--Computer simulation en_US
dc.subject.lcsh Production management--Computer simulation en_US
dc.title A hybrid simulation technique to predict the effects of human deterioration and learning in an industrial environment en_US
dc.type Thesis en_US
dc.dut-rims.pubnum DUT-002339


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