Learn how MemComputing provides one of the world’s largest Oil and Gas companies an optimal scheduling solution for the maritime delivery of goods and fuel to, from, and between offshore facilities. Our solution addresses the problem at scale and significantly improves operational efficiencies and cost savings.
This case study was a joint effort between one of the world’s largest oil and gas companies and MemComputing. It examines the optimization of a complex scheduling problem for the maritime transportation of cargo to offshore facilities, such as offshore platforms and drilling rigs. The problem involves balancing the delivery of goods and fuel from an onshore dock location to various offshore facilities within a 30-day period. Using Integer Linear Programming (ILP) and data from the customers benchmark, a mathematical model was built to represent the problem. The model was run on a leading commercial solver and the MEMCPU Platform. The problem proved to be intractable for the commercial solver, while the MEMCPU Platform delivered highly optimized solutions in under an hour. The results of the optimization showed a 16% increase in the delivery of goods, a 42% reduction in the number of required ships, and a 48% reduction in the number of overall transits. These optimized routes demonstrated the potential for $1.5M in monthly cost savings and a 18 kt reduction in carbon emissions. This paper highlights the potential of the MEMCPU Platform in addressing complex scheduling problems while delivering tangible benefits