IBM ILOG Supply Chain
- WB353 Modeling with IBM ILOG Plant PowerOps
This 3-day instructor-led course provides students with the basic knowledge they need to model the manufacturing processes of a plant and obtain an optimized production plan or a production schedule with the IBM ILOG Plant PowerOps product (PPO).
- WB354 Integrating IBM ILOG Plant PowerOps
This two-day instructor-led course provides students with the Foundational Knowledge they need to integrate the IBM ILOG Plant PowerOps product with an intermediate business model using the Java API.
- WB352 Advanced Training Skills for IBM ILOG LogicNet Plus XE V7
This 3-day course is designed to train existing users of IBM ILOG LogicNet Plus XE in advanced techniques specific to production planning and sourcing models. Using a case study approach, the course gives students an opportunity to refine modeling skills while learning concepts and methodology specific to sourcing studies.
- WB351 Business Analyst Skills for IBM ILOG Inventory Analyst V7.0
This 2-day instructor-led course is designed to help business analysts use IBM ILOG Inventory Analyst to improve profitability by focusing on both strategic and tactical inventory objectives. Hands-on labs provide practice with data imports, model building, and solution reporting. ILOG Inventory Analyst handles both inbound/outbound and distribution focused business models, allowing companies to answer a broad range of business questions - from determining the appropriate inventory policies and strategic positioning of inventory to the ongoing settings of safety stocks and inventory levels in operational environments.
- WB350 Implementing Skills for IBM ILOG LogicNet Plus XE V7.0
This 3-day instructor-led course is designed to help business analysts use IBM ILOG LogicNet Plus XE to optimize their supply chain network design and high level production planning processes. Hands-on labs provide practice with manual model building, data imports, and solution reporting. IBM ILOG LogicNet Plus XE facilitates quick analysis of the trade-offs between production, warehousing, transportation costs, carbon footprint, and service requirements, as well as the calculation of the optimal network configuration for various cost and service objectives.
