The need for an Electronic Job Control system was established due to the increase in servicing jobs for Nissan vehicles and the availabilitity of the appropriately skilled technicians for the jobs. The current Job Control Board was not being used as it was supposed to and the jobs were not assigned evenly between the technicians. These are the key fundamentals that has to be addressed in the algorithm. The end result of the project would result in Nissan dealers being able to schedule their jobs for the day more efficiently between the available technicians, increasing Nissan’s dealers productivity thus increasing overall income. The spreadsheet can later be replaced by an Operations Research Algorithm to schedule the jobs more optimally and deliver a faster job schedule for the day.
Thesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2009.