SAS/OR® Software
Optimize business processes and address management science challenges
SAS/OR software provides a powerful array of optimization, project scheduling and simulation techniques to identify the actions that will produce the best results, while operating within resource limitations and tight restrictions. It enables organizations to consider more alternative actions and scenarios, and determine the best allocation of resources and the best plans for accomplishing goals.
Benefits
- Identify the best answers to planning problems.
- Build models interactively and experiment with the effects of changes to underlying data.
- Incorporate more data, more easily.
- Plan, manage and track, project and resource schedules through a single integrated system.
- Generate quicker answers to large, real-world problems.
Features
- Mathematical optimization
- Project and resource scheduling
- Discrete event simulation
- Genetic algorithms for local search optimization
“ People trust SAS for its world-class analytic capability, and they trust IMS as having the most comprehensive information, as well as the best consulting assets, both locally and globally. It's a very powerful combination. ”
—Hossam Sadek
Vice President for Sales Force Effectiveness in the Americas
IMS Health
Screenshots
SAS/OR software's powerful production and distribution optimization capabilities are displayed in a Web-based demonstration.
How SAS® is Different
- SAS/OR offers the broadest available spectrum of operations research modeling and solution techniques, and includes state-of-the-art advancements in mathematical optimization. With SAS/OR you gain the knowledge you need to answer the complex business questions that occur every day.
- With SAS you can derive greater insights into the factors that affect your business and processes so you can make better decisions and produce optimal results.
- Incorporating operations research analytics not only adds structure and repeatability to decision-making processes, it can optimize your BI investments to deliver the competitive edge.
Benefits
- Identify the best answers to planning problems. SAS/OR brings together essential optimization, scheduling, simulation and related modeling and solution capabilities in an integrated and adaptable environment. The depth of detail and realism in modeling capabilities, control of optimization and scheduling processes, and our integrated approach to data access and information delivery enables organizations to identify and distribute the best answers to complex planning problems.
- Build models interactively and experiment with the effects of changes to underlying data. SAS/OR software's interactive modeling and solution environment lets you build models interactively, modifying constraints or variables and experimenting easily with the effects of changes to underlying data. In mathematical optimization, a specialized modeling language enables you to work transparently and directly with symbolic problem formulations, and an appropriate solution method for the business scenario can be automatically chosen.
- Incorporate more data, more easily. With SAS/OR it is easy to indicate where and how input data will be used in a model. Data/model separation is maintained, which is critical when reusing models or model components. Users can select the aspects of the solution to be reported, and can control the form in which they are reported.
- Plan, manage and track, project and resource schedules through a single integrated system. SAS enables you to more effectively manage projects to meet deadlines within resource limitations and create back-up plans to address unforeseen variations in resource availability. The software is adept at handling complicated situations.
- Generate quicker answers to large, real-world problems. SAS/OR software's accelerated solution methods with faster solvers generate quicker answers to large, complex, real-world problems.
Features
- Mathematical optimization
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- 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 optimization 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 optimization.
- Network flow optimization.
- Genetic algorithms for local search optimization.
- The OPTMODEL family of procedures provides:
- Project and resource scheduling
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- 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*.
- Discrete event simulation
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- 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 for local search optimization
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- Genetic algorithms apply principles of natural selection and evolution in working with groups of solutions to optimization problems.
Screenshots
SAS/OR software's powerful production and distribution optimization capabilities are displayed in a Web-based demonstration.
SAS/OR software's project management capabilities give you the flexibility to plan, manage and track project and resource schedules through a single integrated system.
System Requirements
- AIX: Version 5.1 and Version 6.1 on POWER architectures
- HP-UX PA-RISC: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- Linux for x86 (x86-32): RHEL 4 and 5, SuSE SLES 9 and 10
- Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9 and 10
- Microsoft Windows (x86-32): Windows XP Professional, Windows Vista*, Windows Server 2003 family
- Microsoft Windows on x64 (EM64T/AMD64): Windows XP Professional for x64, Windows Vista* for x64, Windows Server 2003 for x64
- Microsoft Windows (on Itanium): Windows Server 2003 for Itanium-based systems
- OpenVMS for HP Integrity Servers (Itanium): 8.3
- Solaris on SPARC: Version 9, 10
- Solaris on x64: Version 10
- z/OS: V1R7, z/OS V1R8, z/OS V1R9 and higher
* NOTE: Windows Vista Editions that are supported include Enterprise, Business and Ultimate.
Required software
- Base SAS
- SAS/GRAPH® for Gantt charts, network diagrams and decision trees.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
