JS McMillan Fisheries Ltd. (JSM) is a Vancouver-based company with operations in
nearly all levels of the commercial fishing industry, from supply through distribution.
The heart of the operation is the processing facilities where freshly caught Pacific
salmon are prepared for sale to end consumers and institutional buyers. As the
operations of JSM evolved, the decision making for allocating a catch of salmon with
varying characteristics amongst a set of final products has become too complex and
time consuming.
The focus of this study is to determine an effective and efficient method for JSM to
allocate daily a fresh salmon harvest between the various products they produce on
a daily basis. The goal is short-term production planning, to allocate the catch
among the products in such a manner that the profit potential of the catch is
maximized, i.e. prepare a production schedule that maximizes the total profit over
the planning horizon. Additional goals of this project include: automation of the
decision making process for the catch allocation, "what if" planning, decreasing
expert dependency, reducing decision making time, and building a practical and
innovative decision support tool.
In order to solve this problem efficiently and effectively, optimization models were
developed for allocating the catch to the end products. A corresponding decision
support tool was built for the end-users at JSM. / Business, Sauder School of / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/12008 |
| Date | 05 1900 |
| Creators | Begen, Mehmet Atilla |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Format | 16082193 bytes, application/pdf |
| Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
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