Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/562
Title: A hybrid simulation technique to predict the effects of human deterioration and learning in an industrial environment
Authors: Hay, Graeme Kenneth 
Issue Date: 2009
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.
Description: 
Submitted in fulfilment of the academic requirements for the degree of Master of Technology: Industrial Engineering, Durban University of Technology, Durban, South Africa, 2009.
URI: http://hdl.handle.net/10321/562
DOI: https://doi.org/10.51415/10321/562
Appears in Collections:Theses and dissertations (Engineering and Built Environment)

Files in This Item:
File Description SizeFormat
Hay_2009.pdf1.2 MBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s) 20

1,136
checked on Jul 17, 2024

Download(s) 50

589
checked on Jul 17, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.