Ship routing and scheduling for the assembly of a LNG plant in the arctic: a decision support system

• Main Authors: Rigot-Müller, Patrick, Etienne, Laurent, Faury, Olivier, Stephenson, Scott
• Other Authors: National University of Ireland Maynooth (Maynooth University), Knowledge Learning and Information Modelling (LABISEN-KLAIM), Laboratoire ISEN (L@BISEN), Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO)-Institut supérieur de l'électronique et du numérique (ISEN)-YNCREA OUEST (YO), Métis Lab EM Normandie, École de Management de Normandie (EM Normandie), University of Connecticut (UCONN)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2018
• Subjects: ship routing and scheduling; arctic shipping; supply chain planning; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; Arctic; Northern Sea Route
• Online Access: https://hal.archives-ouvertes.fr/hal-03355195; https://hal.archives-ouvertes.fr/hal-03355195/document; https://hal.archives-ouvertes.fr/hal-03355195/file/Ship%20routing%20and%20scheduling%20for%20the%20assembly%20of%20a%20LNG%20plant%20in%20the%20arctic%20a%20decision%20support%20system%20EUROMA%202018.pdf

International audience The construction of a Liquid Natural Gas plant in Yamal, Russia, required the assembly of modules transported from yards in Asia. In early stages of such projects, the feasibility of on-time shipping plans is a critical area of risk assessment, in particular in the arctic where accessibility is limited by ice and vessel supply. By describing the modelling and implementation of a Decision Support System designed to create optimal shipping plans, this paper contributes to show the relevance of the Northern Sea Route for industrial projects in the arctic and to illustrate the role of risk mitigation tools.