A General Approach for Capital Investment Planning for Oil-Refineries using MILP and...
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Performing capital investment or facilities location planning in the oil-refining sector is traditionally done using nonlinear programming whereby a gamut of scenarios are generated and searched over manually to make expand and/or install decisions. Although MINLP solvers have made tremendous advancements in the last decades, they are still too slow for industrial-sized expenditure optimization problems. We propose a more tractable modeling and solving approach using input-output or Leontief models whereby the nonlinear relationships are proxyed using piece-wise linearized operations, activities or modes which can be easily represented in large-scale flowsheet problems using a new modeling platform called IMPL (Industrial Modeling & Programming Language). This approach allows all of the units, facilities or equipment to be modeled both with multiple operations and with multiple inputs (convergent flow path) and outputs (divergent flow path) interconnected both upstream and downstream forming a complex network or more appropriately an arbitrary superstructure. Other pertinent details such as managing the construction, commissioning and correction activities or tasks between the existing and expanded/installed stages or phases related to the revamping, retrofitting and repairing problems is also formulated with IMPL using specialized variations of the sequence-dependent changeover mathematics. Industrial applications of this approach can be applied to what are typically known as production/process design and synthesis, asset allocation and utilization and maintenance turnaround scheduling.
Transcript of A General Approach for Capital Investment Planning for Oil-Refineries using MILP and...
Case Study: Turnaround & Inspection Planning
Objectives: • Simultaneously minimizes both T&I costs and Supply-Demand disruption costs • Unifies Revamping and Retrofit modeling with Repair decision-making • Considers Construction/Commissioning/Correction tasks as sequence-dependent cleaning operations • Does not require special formulation – uses typical supply-demand logistics modeling with sequence-dependent changeovers/setups to model correction/maintenance activities.
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New Maintenance Scheduling Approach using MILP and Sequence-Dependent Changeover
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