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1554. From catch to coast: An optimization approach for vessel routing and scheduling in the Nordic fishing industry
Invited abstract in session MB-26: Novel topics and recent advances in solution approaches in scheduling, stream Combinatorial Optimization.
Monday, 10:30-12:00Room: 012 (building: 208)
Authors (first author is the speaker)
| 1. | Ali Ghavamifar
|
| Department of Technology, Management and Economics, Technical University of Denmark | |
| 2. | Allan Larsen
|
| Department of Management, Technology and Economics, Technical University of Denmark |
Abstract
The European Union (EU) mandates environmentally friendly, economically viable, and socially sustainable fishing practices for long-term food security, as outlined in the Green Deal objectives. Despite these aims, fisheries still heavily rely on fossil fuels, contributing significantly to global greenhouse gas emissions. Efficient routing can help vessels optimize their fuel consumption by considering the shortest distance to the fishing fields, while effective scheduling can prevent over-fishing of specific areas by avoiding excessive fishing pressure during certain times. Moreover, effective scheduling significantly impacts the quality of fish unloaded at the harbor.
Motivated by a real-life case for a company operating in the Nordic fishing industry, we developed a mixed-integer programming model for vessel routing and scheduling considering fuel consumption. The resulting optimization problem is complex featuring various types of uncertainty, with the primary source of uncertainty stemming from the variability of fish population in fishing fields. To tackle this issue, we employ the Sample Average Approximation (SAA) approach. Additionally, a heuristic approach has been devised to efficiently solve large-scale problems. Finally, we examined our proposed approach using real data from the corresponding company. Our results highlight how efficient vessel routing and scheduling in upstream processes of the supply chain can improve overall supply chain efficiency.
Keywords
- OR in Fisheries
- Transportation
- Scheduling
Status: accepted
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