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Optimal Transport for ExxonMobil Downstream through a DSS
4
Asset library
Optimal schedule planning for ships
B
A
Formulation as a mixed-integer linear programming problem
Routing, transportation, scheduling, and inventory management
C
B
C
B
Tools used: GAMS, Microsoft Excel, ILOG CPLEX
A
Heterogeneous vessels (varying speed, cargo size)
Development of a decision support tool
Maximum and minimum inventory constraints
Decision Support Tool Features
Methodology/Solution
User-defined stopping criterion for the solver
C
A
Key Constraints in the Manual Process
Varying production and demand projections
A
. shipping costs
. Decreased demurrage expenses
Expected Results and Benefits
B
Higher utilization of ships
C
Optimal ship selection and routing schedules
ExxonMobil manages an industry-leading portfolio of resources, and is one of the largest integrated fuels, and chemical companies in the world
INTRODUCTION
Current Transportation Challenges
C
B
faced challenges with manually planning shipping routes for VGO, a crucial petroleum product. Fluctuating demand and vessel constraints made this process inefficient and costly
What are some strategic decisions that could be made by decision makers using the tool developed?
what other ways can ExxonMobil leverage the decision support tool developed to expand and optimize their other business operations?
Fleet Optimization
Port Selection
Production Planning
Crude Oil Transportation
Inventory Management
Product Distribution
A
List three ways in which manual scheduling of ships could result in more operational costs
Discussion Questions
THANK YOU FOR YOUR ATTENTION
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YOUSEFNAL-QUTARY
-Suboptimal Routing and Scheduling
-Inefficient Vessel Utilization
-Increased Demurrage Costs
Optimal Transport for ExxonMobil Downstream through a DSS