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Minimizing the Environmental Risk from Oil Tanker Grounding Accidents in the High North
Department of Ocean Operations and Civil Engineering, NTNU—Norwegian University of Science and Technology, Ålesund, Norway
Cyber-Physical Systems Laboratory, Department of ICT and Natural Sciences, NTNU—Norwegian University of Science and Technology, Ålesund, Norway
Department of Logistics, Molde University College, Molde, Norway
University Institute of Technology, Douala, Cameroon
- 1 Department of Ocean Operations and Civil Engineering, NTNU—Norwegian University of Science and Technology, Ålesund, Norway
- 2 Cyber-Physical Systems Laboratory, Department of ICT and Natural Sciences, NTNU—Norwegian University of Science and Technology, Ålesund, Norway
- 3 Department of Logistics, Molde University College, Molde, Norway
- 4 University Institute of Technology, Douala, Cameroon
American Journal of Operations Research·Volume 10 (2020)·Pages 83–100·Published 13 May 2020·DOI10.4236/ajor.2020.103005
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Abstract
To address the high environmental risk related to the increased oil tanker traffic in the High North, the Norwegian Coastal Administration (NCA) manages one of its vessel traffic service (VTS) centers in the town of Vard ø , Norway. The fleet of tugboats, controlled by the VTS center operators, patrols the coastline to hook-up with any potential drifting oil tanker in the region of interest, before it runs ashore. Presently, the tugboats are controlled manually, which is not only challenging but less effective. In this paper, we develop two alternative binary integer programming models that give better tugboat policies in less computational time compared to previous work. Promising results with historical data illustrate great potential for optimal environmental risk reduction along the northern coast of Norway
KeywordsOR in Maritime IndustryMixed Integer ProgrammingSearch and RescueOil SpillRisk ManagementDecision Support SystemsDynamic Resource Allocation
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