Automation in production of vehicles to improve the sequential delivery of the vehicles

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dc.contributor.advisor Botha, G.J. (Jozine)
dc.contributor.author Cloete, Ulindi
dc.contributor.other University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
dc.date.accessioned 2013-02-15T10:16:26Z
dc.date.available 2013-02-15T10:16:26Z
dc.date.issued 2012
dc.description Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2012. en_US
dc.description.abstract The project on sequential building to ensure sequential delivery will be done at the Rosslyn Plant Nissan SA (NSA). A production line on building vehicles needs to incorporate or make use of sequential building to achieve their volume target. Sequential build is achieved by keeping the sequence of units as close as possible to the original line-up. At present, Nissan is still struggling to minimize the variation between the original sequence and the sequence that is being delivered in the end, a relationship referred to as the SSAR (Scheduled Sequence Achievement Ratio). Nissan has to decide whether to automate a process or processes in order to increase the SSAR. The following will be done to solve the problem/s identified: „X Planning the project accurately will eliminate confusion. The problem is described and discussed in Chapter 1. „X Identifying, studying and implementing industrial methods and techniques such as Just-in-sequence, automation, simulation, optimisation, AS-IS and TO-BE models that can be applied to solve the problem or help make a decision. The techniques and methods are identified and discussed in the Literature Review. The solution approach is determined by discussing the particular methods that will be used. „X Discussing how the data will be gathered and analysed is represented in Chapter 3. „X The data gathered will be analysed and used to find possible improvements, as well as the techniques to implement them in Chapter 4. „X Looking into every individual section of the process, may help to identify a gap for automation. „X Generate a model or models to compare results and decide if automation is necessary. en_US
dc.format.extent 47 pages en_US
dc.format.medium PDF en_US
dc.identifier.uri http://hdl.handle.net/2263/21042
dc.language en
dc.language.iso en en_US
dc.rights Copyright: University of Pretoria en_US
dc.subject Mini-dissertations (Industrial and Systems Engineering) en_US
dc.subject Simulation en_US
dc.subject Scheduling en_US
dc.subject Line balancing en_US
dc.subject Automation en_US
dc.title Automation in production of vehicles to improve the sequential delivery of the vehicles en_US
dc.type Text en_US


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