Productos y Soluciones / Supply Chain Intelligence

SAS® Forecasting for SAP APO

Mejore la planeación de demanda SAP con las eficaces funciones de forecasting del software de SAS®

SAS Forecasting for SAP APO proporciona a las empresas forecasting y planeación de la demanda ideales al combinar el forecasting de alto desempeño de SAS con las eficaces funciones de planeación de SAP Advanced Planning & Optimization (SAP APO). Al integrar perfectamente las galardonadas herramientas analíticas de SAS con el módulo SAP APO Demand Planning, esta solución ayudará a enriquecer su proceso de planeación de la demanda con funciones de forecasting eficientes y fáciles de usar y transformará su empresa de reactiva a proactiva.

"SAS Forecasting for SAP APO permite una evaluación más fácil y mejora los resultados de forecasting para las empresas que han implementado SAP APO for Supply Chain Management. Mientras que la mayoría de proveedores sólo definen los perfiles de demanda y los algoritmos de forecasting en la implementación inicial, con SAS es posible definirlos continuamente a lo largo de la vida del producto y el mercado, lo que simplifica y mejora de manera continua el proceso de forecasting y conduce a un éxito constante".

—Frode Huse Gjendem
Ejecutivo Senior, Práctica de Cadena de Suministro
Accenture
 

Beneficios

  • Improve your statistical forecasting performance and accuracy.
  • Reduce finished-goods inventory levels and stock-outs.
  • Integrate forecasting capability and planning components.

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Características

  • Large-scale, automated, statistical forecast model selection and optimization.
  • Complete model repository with a full range of forecasting methods.
  • Event modeling for sales promotions, marketing events and other external events.
  • What-if analysis and scenario planning.
  • Comprehensive reporting environment for planners.

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Screenshot

Forecast created by SAS Forecast Server


Screenshots

¿Qué hace diferente a SAS®?

SAS Forecasting for SAP APO es una excelente opción para las empresas que desean usar SAP APO Demand Planning pero que también requieren incrementar la precisión de sus pronósticos estadísticos. SAS Forecasting for SAP APO:

  • Es la única solución en el mercado actual que ofrece todas las técnicas básicas de modelado, así como algoritmos personalizados desarrollados para ser usados en una jerarquía.
  • Genera pronósticos automáticamente para cada elemento en cada jerarquía a nivel negocio/producto usando el modelo más adecuado.  El motor determina automáticamente el modelo de forecasting adecuado con base en parámetros estadísticos y reglas de negocio para cada nivel.
  • Es el motor de forecasting estadístico más escalable con funciones jerárquicas instantáneas, incluyendo conciliación jerárquica.

Beneficios

  • Improve your statistical forecasting performance and accuracy. The patented SAS Forecast Server engine has a complete array of advanced forecasting methods, including exponential smoothing, Winter's, ARIMA, ARIMAX, UCM and dynamic regression, to model and forecast all products across an organization's product portfolio. SAS can integrate consumer demand (pull), model and forecast it automatically using award-winning data access tools.
  • Reduce finished-goods inventory levels and stock-outs. SAS provides forecasts that reflect the realities of the business, improving your ability to forecast and plan future events with confidence. As a result, safety stock levels can be tightened along with on-hand finished goods inventory – adding more efficiencies to the overall supply chain. Also, stock-outs (or back orders) are reduced as the right products are produced at the right time and stocked at the right locations.
  • Integrate forecasting capability and planning components. SAS' solution seamlessly integrates with the SAP APO Demand Planning module so that SAP users can invoke SAS Forecast Server without leaving the SAP interface, providing the best scenario possible – superior SAS forecasting and strong SAP-APO planning capabilities. SAS Forecasting for SAP APO provides a pull-down menu from inside of the SAP APO Demand Planning GUI, allowing users to generate a statistical forecast using the SAS Forecast Server in the background.

Características

Large-scale, automated, statistical forecast model selection and optimization.
  • Interactive point-and-click interface (GUI).
  • Project set-up wizards.
  • High-performance, hierarchical statistical engine.
  • Graphical engine.
  • Statistical engine to provide various statistical calculations (e.g., MAPE, MAD, etc.).
  • Filter generator.

Complete model repository with a full range of forecasting methods.
  • Time series methods:
    • Single exponential smoothing.
    • Holt's/Brown's two parameter exponential smoothing.
    • Winter's three parameter exponential smoothing.
    • Additive/multiplicative.
    • ARIMA.
  • Causal methods:
    • ARIMAX (ARIMA with intervention and causal variables).
    • Lagged variables/transfer functions.
    • Dynamic multiple regression.
    • UCM (unobserved components model).
  • Open model repository.
  • Add custom models.

Event modeling for sales promotions, marketing events and other external events.
  • Event model console:
    • Interactive JAVA GUI.
  • Predefined holiday events (e.g., Christmas, Easter, etc.):
    • Automatic date realignment for Easter and other moving holidays.
  • Customer event creator:
    • Four event types: pulse, ramp up/down, level shift, temporary.

What-if analysis and scenario planning.
  • Plug-in for SAS Forecast Server GUI.
  • What-if planning capabilities using model parameter estimates:
    • Ability to change model parameter estimates to determine effects on forecasts.

Comprehensive reporting environment for planners.
  • Leveraging SOA interfaces, invoke SAS within SAP as a service.
  • Interactive dashboard with balanced scorecard drill-down/-up capabilities.
  • View and share through SAS Web Report Studio and SAS Web Report Viewer.
  • Disseminate forecast performance metrics and tracking reports on a companywide basis.

Screenshots

Screenshot
Forecast created by SAS Forecast Server

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Screenshot
Forecast created by SAS Forecast Server

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Screenshot
Forecast created by SAS Forecast Server

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Requerimientos del sistema

Client

  • 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.

Supported Web browsers

  • Internet Explorer 6 on Windows XP Pro.
  • Internet Explorer 7 on Windows XP Pro and Windows Vista*.
  • Firefox 2.0 on Windows XP Pro, Windows Vista* and Linux x86 (SuSE and RHEL).

Server

  • AIX: Version 5.3 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.
  • Solaris on SPARC: Version 9, 10.
  • Solaris on x64: Version 10.
  • z/OS: V1R7, V1R8, V1R9 and higher.

Midtier/Web Tier

Sites can choose to license WebLogic, WebSphere or JBOSS directly from the vendor:

  • Oracle WebLogic (AIX, HP-UX Itanium, Solaris, Windows 2000 Server, Windows Server 2003).
  • IBM WebSphere (AIX, Windows 2000 Server, Windows Server 2003).
  • Red Hat JBOSS (AIX, HP-UX Itanium, Solaris, Windows 2000 Server, Windows Server 2003).

SAP System Requirements

  • SAP SCM 4.1 or higher.
  • SAP SCM GUI 6.40 or higher.

 

* Windows Vista Editions that are supported include Enterprise, Business and Ultimate.

Desea más información?

Para hablar con un representante de SAS de inmediato, llame al 01800 1127 727 de 9:00 a.m. a 6:00 p.m. o solicite más información online.