SAS/OR® Software

Optimize business processes and address management science challenges

Features

• The OPTMODEL family of procedures provides:
• Use of industry-standard MPS/QPS format input data sets.
• Flexible syntax for intuitive model formulation.
• Support for the transparent use of standard SAS functions.
• Direct invocation of linear, nonlinear, quadratic and mixed-integer solvers.
• Support for the rapid prototyping of customized optimisation algorithms.
• Aggressive presolvers to reduce effective problem size.
• Linear programming solvers:
• Primal simplex and dual simplex.
• Iterative interior-point.
• New branch-and-bound integer and mixed-integer programming solver with cutting planes and primal heuristics.
• Continued support for the original LP (linear and mixed-integer programming) procedure.
• General nonlinear programming solvers:
• Unconstrained: LBFGS, Fletcher-Reeves, Polak-Ribiere.
• Constrained: conjugate gradient, Newton-Raphson, trust region.
• Nonlinearly constrained: SQP.
• Quadratic programming with state-of-the-art solver tailored for large-scale optimisation .
• Network flow optimisation .
• Genetic algorithms for local search optimisation .

• Critical Path Method and CPM-based resource-constrained scheduling.
• Calendars, work shifts and holidays for determining resource availability and schedules.
• Full support for nonstandard precedence relationships.
• Ability to include PERT estimates of duration.
• Versatile reporting, customizable Gantt charts and project network diagrams.
• Earned Value Management analysis.
• Decision analysis:
• Create, analyze and interactively modify decision tree models.
• Customize utility functions, including risk aversion/tolerance.
• Calculate Value of Perfect Information (VPI) and Value of Perfect Control (VPC).
• Bill of materials (BOM) processing:
• Reads from standard product structure data files and part master files, or combined file.
• Accounts for lead times, lead time offsets, scrap factors, quantities on hand.
• Produces single- or multi-level bills of material, including indented and summarized BOM.
• Produces summarized parts, listing items and quantities required to meet the specified plan.
• New constraint programming capabilities*.

• Versatile, graphical modeling capabilities; create and save custom components.
• Model animation for validation and debugging.
• Ability to save models as SAS data sets.
• Wide variety of sampling distributions.

• Genetic algorithms apply principles of natural selection and evolution in working with groups of solutions to optimisation problems.

Download the complete SAS/OR Fact Sheet.