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IBM ILOG ERP/SCM Application Integration

IBM ILOG planning and scheduling applications integrate with the leading enterprise resource planning (ERP) and supply chain management (SCM) applications.

Leverage Your Current IT Investments

IBM ILOG has many years experience building planning and scheduling applications that integrate with the leading enterprise resource planning (ERP) and supply chain management (SCM) applications. Whether you use ERP alone or ERP in conjunction with one or more SCM applications, IBM can import the data needed to build plans and schedules that improve your profitability and customer service. Once optimized, these plans and schedules can be returned to the appropriate system of record for execution.

Integration architecture

IBM planning and scheduling solutions read master and transactional data directly from your systems of record and create the planning and scheduling scenarios that the optimization engines solve. At any time, planners or operations personnel can commit the improved plans or schedules back to the system of record. And when customer demand, raw material, resource availability, scheduled shipments or other critical inputs change in your system of record, you can refresh the input data to ensure that the plan or schedule being developed is based on the latest information.

The required master data might involve available equipment and lines, recipes, trucks, distribution centers or shipping lanes. Transactional data used might include inventory positions, customer demand, production orders or shipments to be delivered.

Extensive experience with enterprise applications

The IBM ILOG Professional Services team has established best practices and predefined connectors for SAP and Oracle integration, helping to reduce project risks and integration costs in many planning and scheduling projects. However, IBM ILOG's product architecture allows integration of IBM optimization-based solutions with any system. As a result, even companies with heterogeneous application environments where, for example, different plants that use different versions of an ERP application or even entirely different applications, can still standardize on a best-of-breed analytic solution.

Examples of successful projects include:

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