This thesis details a research project into the viability of increasing the level of automation employed in the canning of salmon. Specifically the post-filling quality control patching table has been studied. Data on this system was compiled from survey, interviews, and video tape of quality control personnel, and from a series of experiments done in an industry plant during a canning operation. The patching table workcell has been modelled and simulated using a computer simulation package. Several automation implementations are explored for their effectiveness and physical realizability. The most promising of these options have been simulated and evaluated for their economic profitability. Recommendations to the industrial producers are then presented.