This thesis presents a catch allocation model that was developed for J.S. McMillan Fisheries, Ltd. A linear program (LP) was developed to allocate chum salmon catches of variable size to a set of end products, where both the input salmon and output products are differentiated based on strict physical characteristics and quality requirements. The LP is designed to maximise the net profit of a catch subject to constraints on processing line capacity, market orders, and an upper boundary on production. A decision support tool was built around the LP model to facilitate user-directed reporting and updating of model parameters. The decision tool was shown to improve the structuring of the decision process, decrease the company's reliance on expert knowledge in making the catch allocation decision, as well as significantly decrease the time investment in the decision process.

This thesis presents a catch allocation model that was developed for J.S. McMillan Fisheries, Ltd. A linear program (LP) was developed to allocate chum salmon catches of variable size to a set of end products, where both the input salmon and output products are differentiated based on strict physical characteristics and quality requirements. The LP is designed to maximise the net profit of a catch subject to constraints on processing line capacity, market orders, and an upper boundary on production. A decision support tool was built around the LP model to facilitate user-directed reporting and updating of model parameters. The decision tool was shown to improve the structuring of the decision process, decrease the company's reliance on expert knowledge in making the catch allocation decision, as well as significantly decrease the time investment in the decision process. / Business, Sauder School of / Graduate