The Experts below are selected from a list of 11394 Experts worldwide ranked by ideXlab platform
Irina Gribkovskaia - One of the best experts on this subject based on the ideXlab platform.
-
periodic Supply Vessel planning under demand and weather uncertainty
Infor, 2021Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:We solve a periodic Supply Vessel planning problem under demand and weather uncertainty, arising in offshore of oil and gas production. Our study is motivated by the case of the Norwegian energy op...
-
Supply Vessel routing and scheduling under uncertain demand
Transportation Research Part C-emerging Technologies, 2019Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract We solve a Supply Vessel planning problem arising in upstream offshore petroleum logistics. A fleet of Supply Vessels delivers all the necessary equipment and materials to a set of offshore installations from an onshore Supply base, according to a delivery schedule or sailing plan. Supply Vessels, being the major cost contributor, are chartered on a long-term basis. The planning of Supply Vessels implies resolving the trade-off between the cost of the delivery schedule and the reliability of deliveries on the scheduled voyages, i.e. the service level. The execution of a sailing plan is affected by stochastic demands at the installations since a high demand fluctuation quite often leads to insufficient Vessel capacity to perform a voyage according to the sailing plan. In addition, the average demand level at the installations may change over time, while the number of Vessels in the sailing plan remains the same. Maintaining a reliable flow of supplies under stochastic demand therefore leads to additional costs and reduced service level. We present a novel methodology for reliable Supply Vessel planning and scheduling, enabling planners to construct delivery schedules having a low expected total cost. The methodology involves the construction of delivery schedules with different reliability levels using an adaptive large neighborhood search metaheuristic algorithm combined with a discrete event simulation procedure for the computation of the expected solution cost.
-
the periodic Supply Vessel planning problem with flexible departure times and coupled Vessels
Computers & Operations Research, 2018Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract In upstream offshore petroleum logistics, periodic Supply Vessel planning plays an important role since it ensures the replenishment of offshore installations on a regular basis with all the necessary equipment and materials from an onshore base. The problem involves the determination of the fleet composition and of the Vessel schedules over a given time horizon. We present an extended version of this problem involving flexible departures from the base and the possibility of coupling Vessels by swapping their schedules. We propose a voyage-based model that can be solved exactly for small- and medium-size instances. For the solution of larger instances, we have developed an adaptive large neighborhood heuristic, which yields optimal or near-optimal solutions relatively fast on small- and medium- size instances. Its performance on larger instances is significantly better than that of alternative algorithms previously developed for the same problem.
-
robust Supply Vessel routing and scheduling
Transportation Research Part C-emerging Technologies, 2018Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract We solve the problem of tactical Supply Vessel planning arising in the upstream offshore petroleum logistics. Supply Vessels deliver all the necessary materials and equipment to offshore installations from an onshore Supply base according to a delivery schedule. The planning of Supply Vessels should be done so that their number is minimized and at the same time provide a reliable flow of supplies from the base. The execution of a weekly sailing plan is affected by weather conditions, especially in winter time. Harsh weather conditions increase the number of Vessels required to perform the operations as well as the service times at the installations, and thus disrupt the schedule, leading to additional costs and reduced service level. We present a methodology for robust Supply Vessel planning enabling a trade-off analysis to be made between the schedules’ service level and Vessels’ cost. The methodology involves the generation of multiple Vessel schedules with different level of robustness using an adaptive large neighbourhood search metaheuristic and a subsequent discrete event simulation procedure for the assessment of the service level. To control the level of robustness we developed a concept of slacks and incorporated it into the metaheuristic algorithm.
-
environmental performance of speed optimization strategies in offshore Supply Vessel planning under weather uncertainty
Transportation Research Part D-transport and Environment, 2017Co-Authors: Ellen Karoline Norlund, Irina GribkovskaiaAbstract:Abstract Supply Vessels serving oil and gas installations at sea are a major emission source of greenhouse gases in offshore logistics. Speed optimization strategies applied in tactical Vessel planning significantly reduce fuel consumption and thus emissions. Nevertheless, the environmental performance of these strategies in rough weather conditions is difficult to estimate as the duration of Supply Vessel operations is weather dependent. In this paper we develop a simulation-optimization tool which estimates the average fuel consumption for weekly Vessel schedules. The schedules are constructed by using speed optimized Vessel voyages which are simulated under different weather conditions. Results of experiments on real instances show that rough weather conditions increase fuel consumption and costs. The application of speed optimization strategies reduces fuel consumption both in winter and summer, but the reduction may be at the expense of a fixed Vessel cost increase in the winter season.
Gilbert Laporte - One of the best experts on this subject based on the ideXlab platform.
-
periodic Supply Vessel planning under demand and weather uncertainty
Infor, 2021Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:We solve a periodic Supply Vessel planning problem under demand and weather uncertainty, arising in offshore of oil and gas production. Our study is motivated by the case of the Norwegian energy op...
-
Supply Vessel routing and scheduling under uncertain demand
Transportation Research Part C-emerging Technologies, 2019Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract We solve a Supply Vessel planning problem arising in upstream offshore petroleum logistics. A fleet of Supply Vessels delivers all the necessary equipment and materials to a set of offshore installations from an onshore Supply base, according to a delivery schedule or sailing plan. Supply Vessels, being the major cost contributor, are chartered on a long-term basis. The planning of Supply Vessels implies resolving the trade-off between the cost of the delivery schedule and the reliability of deliveries on the scheduled voyages, i.e. the service level. The execution of a sailing plan is affected by stochastic demands at the installations since a high demand fluctuation quite often leads to insufficient Vessel capacity to perform a voyage according to the sailing plan. In addition, the average demand level at the installations may change over time, while the number of Vessels in the sailing plan remains the same. Maintaining a reliable flow of supplies under stochastic demand therefore leads to additional costs and reduced service level. We present a novel methodology for reliable Supply Vessel planning and scheduling, enabling planners to construct delivery schedules having a low expected total cost. The methodology involves the construction of delivery schedules with different reliability levels using an adaptive large neighborhood search metaheuristic algorithm combined with a discrete event simulation procedure for the computation of the expected solution cost.
-
the periodic Supply Vessel planning problem with flexible departure times and coupled Vessels
Computers & Operations Research, 2018Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract In upstream offshore petroleum logistics, periodic Supply Vessel planning plays an important role since it ensures the replenishment of offshore installations on a regular basis with all the necessary equipment and materials from an onshore base. The problem involves the determination of the fleet composition and of the Vessel schedules over a given time horizon. We present an extended version of this problem involving flexible departures from the base and the possibility of coupling Vessels by swapping their schedules. We propose a voyage-based model that can be solved exactly for small- and medium-size instances. For the solution of larger instances, we have developed an adaptive large neighborhood heuristic, which yields optimal or near-optimal solutions relatively fast on small- and medium- size instances. Its performance on larger instances is significantly better than that of alternative algorithms previously developed for the same problem.
-
robust Supply Vessel routing and scheduling
Transportation Research Part C-emerging Technologies, 2018Co-Authors: Yauheni Kisialiou, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract We solve the problem of tactical Supply Vessel planning arising in the upstream offshore petroleum logistics. Supply Vessels deliver all the necessary materials and equipment to offshore installations from an onshore Supply base according to a delivery schedule. The planning of Supply Vessels should be done so that their number is minimized and at the same time provide a reliable flow of supplies from the base. The execution of a weekly sailing plan is affected by weather conditions, especially in winter time. Harsh weather conditions increase the number of Vessels required to perform the operations as well as the service times at the installations, and thus disrupt the schedule, leading to additional costs and reduced service level. We present a methodology for robust Supply Vessel planning enabling a trade-off analysis to be made between the schedules’ service level and Vessels’ cost. The methodology involves the generation of multiple Vessel schedules with different level of robustness using an adaptive large neighbourhood search metaheuristic and a subsequent discrete event simulation procedure for the assessment of the service level. To control the level of robustness we developed a concept of slacks and incorporated it into the metaheuristic algorithm.
-
Supply Vessel planning under cost environment and robustness considerations
Omega-international Journal of Management Science, 2015Co-Authors: Ellen Karoline Norlund, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract Offshore oil and gas installations need reliable cargo deliveries. The Vessels Supplying these installations on a periodic basis are expensive and constitute a source of emissions of greenhouse gases. Incorporating Vessel speed optimization into the Supply Vessel planning process may significantly reduce fuel consumption and hence emissions. In addition, speed optimization may yield cost reductions if the number of Vessels used does not increase. A main uncertainty factor, especially in the winter season, is the weather conditions which impact sailing and service times. Cost minimization and the application of speed optimization strategies may have implications on the robustness of weekly Supply Vessel schedules since idle times in the schedules are reduced. We develop a simulation-optimization based methodology that considers costs, emissions and robustness in the generation of weekly Supply Vessel schedules. Results of analyses conducted on real instances show that robustness requirements may yield both increased emissions and costs in the winter season. However, depending on instance characteristics, different degrees of robustness can be incorporated with both costs and emissions reductions through speed optimization.
Teresa J Leo - One of the best experts on this subject based on the ideXlab platform.
-
conceptual design of offshore platform Supply Vessel based on hybrid diesel generator fuel cell power plant
Applied Energy, 2014Co-Authors: Maria C Diazdebaldasano, Francisco J Mateos, Luis R Nunezrivas, Teresa J LeoAbstract:Nowadays increasing fuel prices and upcoming pollutant emission regulations are becoming a growing concern for the shipping industry worldwide. While fuel prices will keep rising in future years, the new International Convention for the Prevention of Pollution from Ships (MARPOL) and Sulphur Emissions Control Areas (SECA) regulations will forbid ships to use heavy fuel oils at certain situations. To fulfil with these regulations, the next step in the marine shipping business will comprise the use of cleaner fuels on board as well as developing new propulsion concept. In this work a new conceptual marine propulsion system is developed, based on the integration of diesel generators with fuel cells in a 2850 metric tonne of deadweight platform Supply Vessel. The efficiency of the two 250kW methanol-fed Solid Oxide Fuel Cell (SOFC) system installed on board combined with the hydro dynamically optimized design of the hull of the ship will allow the ship to successfully operate at certain modes of operation while notably reduce the pollutant emissions to the atmosphere. Besides the cogeneration heat obtained from the fuel cell system will be used to answer different heating needs on board the Vessel.
-
conceptual design of offshore platform Supply Vessel based on hybrid diesel generator fuel cell power plant
Applied Energy, 2014Co-Authors: Maria C Diazdebaldasano, Francisco J Mateos, Luis R Nunezrivas, Teresa J LeoAbstract:Nowadays increasing fuel prices and upcoming pollutant emission regulations are becoming a growing concern for the shipping industry worldwide. While fuel prices will keep rising in future years, the new International Convention for the Prevention of Pollution from Ships (MARPOL) and Sulphur Emissions Control Areas (SECA) regulations will forbid ships to use heavy fuel oils at certain situations. To fulfil with these regulations, the next step in the marine shipping business will comprise the use of cleaner fuels on board as well as developing new propulsion concept. In this work a new conceptual marine propulsion system is developed, based on the integration of diesel generators with fuel cells in a 2850 metric tonne of deadweight platform Supply Vessel. The efficiency of the two 250kW methanol-fed Solid Oxide Fuel Cell (SOFC) system installed on board combined with the hydro dynamically optimized design of the hull of the ship will allow the ship to successfully operate at certain modes of operation while notably reduce the pollutant emissions to the atmosphere. Besides the cogeneration heat obtained from the fuel cell system will be used to answer different heating needs on board the Vessel.
Ellen Karoline Norlund - One of the best experts on this subject based on the ideXlab platform.
-
environmental performance of speed optimization strategies in offshore Supply Vessel planning under weather uncertainty
Transportation Research Part D-transport and Environment, 2017Co-Authors: Ellen Karoline Norlund, Irina GribkovskaiaAbstract:Abstract Supply Vessels serving oil and gas installations at sea are a major emission source of greenhouse gases in offshore logistics. Speed optimization strategies applied in tactical Vessel planning significantly reduce fuel consumption and thus emissions. Nevertheless, the environmental performance of these strategies in rough weather conditions is difficult to estimate as the duration of Supply Vessel operations is weather dependent. In this paper we develop a simulation-optimization tool which estimates the average fuel consumption for weekly Vessel schedules. The schedules are constructed by using speed optimized Vessel voyages which are simulated under different weather conditions. Results of experiments on real instances show that rough weather conditions increase fuel consumption and costs. The application of speed optimization strategies reduces fuel consumption both in winter and summer, but the reduction may be at the expense of a fixed Vessel cost increase in the winter season.
-
Supply Vessel planning under cost environment and robustness considerations
Omega-international Journal of Management Science, 2015Co-Authors: Ellen Karoline Norlund, Irina Gribkovskaia, Gilbert LaporteAbstract:Abstract Offshore oil and gas installations need reliable cargo deliveries. The Vessels Supplying these installations on a periodic basis are expensive and constitute a source of emissions of greenhouse gases. Incorporating Vessel speed optimization into the Supply Vessel planning process may significantly reduce fuel consumption and hence emissions. In addition, speed optimization may yield cost reductions if the number of Vessels used does not increase. A main uncertainty factor, especially in the winter season, is the weather conditions which impact sailing and service times. Cost minimization and the application of speed optimization strategies may have implications on the robustness of weekly Supply Vessel schedules since idle times in the schedules are reduced. We develop a simulation-optimization based methodology that considers costs, emissions and robustness in the generation of weekly Supply Vessel schedules. Results of analyses conducted on real instances show that robustness requirements may yield both increased emissions and costs in the winter season. However, depending on instance characteristics, different degrees of robustness can be incorporated with both costs and emissions reductions through speed optimization.
-
reducing emissions through speed optimization in Supply Vessel operations
Transportation Research Part D-transport and Environment, 2013Co-Authors: Ellen Karoline Norlund, Irina GribkovskaiaAbstract:Abstract This paper examines how optimizing sailing speeds can reduce Supply Vessels emissions in the upstream Supply chain to offshore installations. We introduce several speed optimization strategies to be used in construction of periodic Vessel schedules. The strategies consider Vessel waiting times before the start of service at installations and at Supply base. Tests carried out on real instances from Statoil’s activities on the Norwegian continental shelf indicate that a 25% emissions and fuel cost reductions can be achieved without fleet size increase.
Reza Tavakkolimoghaddam - One of the best experts on this subject based on the ideXlab platform.
-
a lagrangean decomposition approach for a novel two echelon node based location routing problem in an offshore oil and gas Supply chain
Transportation Research Part E-logistics and Transportation Review, 2019Co-Authors: Mohsen Amiri, Saman Hassanzadeh Amin, Reza TavakkolimoghaddamAbstract:Abstract In this paper, a new node-based mixed-integer non-linear programming (MINLP) model in an offshore oil and gas industry is proposed. The model, which is a Supply Vessel planning (SVP) one, is developed to a two-echelon fleet composition mix periodic location-routing problem with time windows (2E-FCMPLRPTW). In the first echelon, the number and type of vehicles, routes, schedules and the best allocation of suppliers are determined. In the second echelon, the number and type of Supply Vessels, related voyages and schedules are calculated. A Lagrangean decomposition method, which is a particular case of Lagrangean relaxation, is presented to solve the problem.
-
optimal fleet composition and mix periodic location routing problem with time windows in an offshore oil and gas industry a case study of national iranian oil company
Scientia Iranica, 2018Co-Authors: Mohsen Amiri, Reza Tavakkolimoghaddam, Seyed Jafar Sadjadi, Armin JabbarzadehAbstract:This paper presents a new Mixed-Integer Non-Linear Programming (MINLP) model for a Supply Vessel Planning (SVP) problem. The traditional SVP, which is a maritime transportation problem, is developed to a Maritime Fleet Sizing Mix Periodic Location-Routing Problem with Time Windows (MFSMPLRPTW) by considering suppliers, location of onshore-base(s) and some real life aspects. The objective of this model is to decide the composition of fleets, optimal voyages, schedules and also the optimal location(s) for onshore-base(s) in such a way that the total cost is minimized and the needs of operation regions are fulfilled. The MFSMPLPRTW model is solved by an exact two-phase solution approach for both small and medium cases. Also, two meta-heuristic algorithms are used to solve the large-sized instances. In order to justify and show how the model and solution can lead to significant economic improvements for real life instances, a case study by the IOOC is considered, which is the only offshore oil and gas producer in Iran that has lots of installations and operation regions in the Persian Gulf and the Sea of Oman.
