Top 10 Best Refinery Planning Software of 2026

Aspen PIMS is built for refinery planners who need equation-based production planning across multiple process units, with explicit handling of constraints and scenario variants. The workflow typically starts from a refinery data model, then adds economics and routing rules to build an optimization-ready representation and produces dispatch-ready outputs. Integration depth is a key differentiator because Aspen PIMS connects to Aspen HYSYS for thermodynamic and stream property context instead of requiring manual property replication.

A tradeoff is that credible results depend on disciplined model configuration because routing, constraints, and yield behavior must match plant practice. Aspen PIMS fits best when planning teams run repeated day-ahead and week-ahead cases with frequent crude changes, unit limits, and turnaround schedules that must stay consistent across reports.

AVEVA Spiral Suite is used for refinery planning where planners need controlled model configuration across streams, units, and constraints rather than spreadsheet-driven trial-and-error. The workflow supports iterative scenario analysis for scheduling and supply planning, then produces planning outputs that operations can track through dispatch coordination. The software’s strongest fit appears when teams manage consistent process definitions and repeatable case runs across multiple planning cycles.

A key tradeoff is that model configuration depth and integration scope require governance discipline to keep scenarios repeatable when personnel or assumptions change. Spiral Suite fits best when a refinery already has upstream lab data pipelines and downstream production reporting dependencies, because the planning outputs must remain consistent across planning, scheduling, and execution.

Mosek Refinery Planner is designed around an optimization workflow where refinerywide constraints and economics become a solvable LP formulation. It targets blend and cutpoint decisions by using refinery-specific relationships from process inputs, then uses the LP solution to produce schedules and recommended stream assignments. Integration depth depends on how refinery teams structure their refinery information system interfaces, since configuration and data mapping work still sit outside the core optimizer. Teams typically use it when they need consistent equation-driven planning outputs rather than a spreadsheet-driven what-if loop.

A practical tradeoff is that governance over model configuration and constraint completeness becomes a core responsibility for engineering teams. Failure modes show up as infeasible or degenerate solutions when unit logic, stream constraints, or economics drivers are incomplete. A common usage situation is running recurring planning cycles for unit availability and feed slate decisions where dispatch coordination and subsequent reporting rely on stable output structure.

Haverly H/PLAN is refinery planning software focused on refinery-wide scheduling and material flow coordination across process constraints. It supports equation-driven planning workflows for crude and product balancing, then moves into dispatch-ready worklists tied to operational parameters.

H/PLAN also emphasizes scenario handling so planners can compare deterministic production outcomes and constraint impacts. The solution is designed to fit refinery ecosystems that already have assay, routing, and reporting pipelines rather than replacing them end-to-end.

KBC PRISM produces refinery planning outputs by combining unit yield modeling, stream routing, and scheduling constraints into coordinated planning scenarios. It supports equation-based planning workflows where planners can generate deterministic schedules and material balance results for dispatch and process coordination use.

The solution is geared toward scenario analysis with configurable economics drivers and measurable planning outputs for refinery-wide studies. Integration work focuses on connecting refinery data sources and operational systems so planning runs can be tied to operational dispatch and reporting.

PIMS-AO is a Hexagon refinery planning application that focuses on refinery-wide optimization using refinery-specific data such as assays, yields, and economics drivers. It supports planning workflows that connect crude selection, blending and cutpoint decisions, and process unit constraints to produce schedule-ready outputs for downstream coordination.

The solution is designed to fit into refinery information system landscapes through integration patterns commonly used around Hexagon process and operations data flows. Scenario runs can be used to compare deterministic outcomes across planning cases without converting work into custom spreadsheets.

Refinery Planning and Scheduling from Infosys focuses on refinery planning workflows tied to scheduling and dispatch coordination rather than generic production tracking. Core capabilities include scenario planning with constraints, planning data preparation for refinery-wide studies, and integration hooks for refinery information system handoffs.

Automation is centered on repeatable planning runs and configurable work patterns that support planner and operations coordinator handoff. Governance is supported through enterprise integration controls that fit refinery IT change management and controlled access.

GAMS provides refinery planning capabilities built on equation-based optimization with a solver workflow driven by model logic rather than fixed heuristics. It supports refinery-wide material balance modeling, blend optimization, and refinery scheduling use cases through configurable sets of constraints and objective functions.

Its distinct strength is extensibility through model formulation, data mapping, and automation hooks that can generate linear programming matrix forms for downstream solvers. In practice, the fit is strongest when planning logic must be expressed precisely and reused across scenarios and what-if studies.

LINDO Systems helps refineries build and solve equation-based optimization models for planning and scheduling using LINGO and related solvers. The product focus centers on LP and mixed-integer optimization with model-driven workflows that map refinery constraints into a math model.

It supports refinery planning tasks like unit turnaround timing, stream routing logic, and blend or product assignment through scenario-based runs and constraint formulation. LINDO’s distinct strength is giving model authors control over the optimization structure, including custom nonlinear representations and solver settings that affect throughput and convergence.

Quorum Planning & Scheduling is used for refinery planning work where scheduling, material planning, and reporting must align to the same operational context. It supports equation-driven planning workflows with configuration for refinery economics drivers and constraint sets.

Quorum also supports scenario analysis and dispatch coordination outputs tied to operational roles. Its governance model is built for multi-role planning teams that need controlled scenario changes and traceable results.