How You Use the End Item Substitution and Supersession Feature

This topic provides the high-level process that you must follow to use the end item substitution and supersession feature.

  1. Set up your item relationships and substitution and supersession chains in Oracle Fusion Cloud Product Lifecycle Management.
    Or, import your item relationships using the file-based data import (FBDI) template named Supply Chain Planning Item Substitute.
  2. Collect the information for your item-location combinations using the collections functionality or import template named Supply Chain Planning Items.
  3. Set up your replenishment plan.
    On the General subtab on the Supply tab on the Plan Options page, under Item Relationships, select an option in the Use of Related Items Supplies field. Then, enter a value in the Lead Time Multiplier for Excess Window field.
    If your plan isn't using the Default Replenishment Planning Catalog or Incremental Replenishment Planning Default Catalog, add the measures for end item substitution and supersession to your measure catalog.
  4. Optionally, on the Manage Analysis Hierarchies for Related Items page, set up your analysis hierarchies for items with bidirectional relationships. Then, submit the Create Analysis Hierarchies for Related Items scheduled process.
    Include the newly created Product hierarchies in the dimension catalog for your replenishment plan.
  5. Run your replenishment plan.
    End item substitution and supersession are performed for your replenishment plan. The substitution and supersession chains are constructed, excess and shortage are calculated for each item in your substitution and supersession chains, and substitute supplies, substitute demands, and planned orders are created.
  6. Manually release your planned orders on the Supplies and Demands page if you haven't enabled your replenishment plan for automatic release of planned orders.
  7. If you've generated analysis hierarchies, create user-defined tables, and set up the analytics for your analysis hierarchies so that you can review the data.