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MRP Item Forecast – Oracle EBS SQL Report

Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™.

Overview

Detail report for item planning forecast, including forecast description, planner, item, bucket type, forecast start and end dates, current quantity, original qty, project related data, and confidence projection.

Report Parameters

Forecast Set, Forecast, Organization Code, Planner, Item, Project, Forecast Date From, Forecast Date To, Forecast older than x days

Oracle EBS Tables Used

org_organization_definitions, mrp_forecast_items_v, mrp_forecast_dates, mrp_forecast_designators, mtl_system_items_vl, pa_projects_all, pjm_seiban_numbers, pa_tasks, wip_lines, mtl_planners, org_access_view

Report Categories

Enginatics

MRP Item Forecast Upload, MRP Pegging, WIP Entities, INV Safety Stocks, INV Items

Running This SQL Without Blitz Report

Some Oracle EBS SQL reports in this library require functions from the utility package xxen_util. Install it before running the SQL directly against your Oracle EBS database.

Download & Import Options

Resource Link
Excel Example Output MRP Item Forecast 20-Jun-2018 081609.xlsx
Blitz Report™ XML Import MRP_Item_Forecast.xml
Full SQL on Enginatics www.enginatics.com/reports/mrp-item-forecast/

MRP Item Forecast - Case Study & Technical Analysis

Executive Summary

The MRP Item Forecast report details the independent demand (forecasts) that drives the planning process. It allows planners to review the specific forecast entries for an item, including the source of the forecast, quantities, and dates. This is crucial for validating the “input” side of the MRP equation.

Business Challenge

If the forecast is wrong, the plan will be wrong (“Garbage In, Garbage Out”). Planners need to validate the forecast data before running the plan.

Solution

The MRP Item Forecast report lists the detailed forecast entries.

Key Features:

Technical Architecture

The report queries the Master Scheduling/MRP forecast tables.

Key Tables and Views

Core Logic

  1. Selection: Filters forecasts based on the Forecast Set and Item.
  2. Details: Retrieves the quantity, date, and bucket type (Day/Week/Period) for each entry.
  3. Consumption Logic: (Depending on the view used) may show the original forecast quantity versus the current (unconsumed) quantity.

Business Impact


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