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MRP isn't failing, your inputs are...

  • Writer: Jenn C
    Jenn C
  • 2 days ago
  • 4 min read



MRP Is Failing both silently and loudly...

In thousands of ERP implementations companies desire Material Requirements Planning (MRP). The want the automation and leverage one of the most strategic tools in the toolbox. The often then get frustrated and struggle to understand the complexity or the suggestions. Things like maintaining dates, closing out backorders, maintaining data and proper pilot testing for different setup combinations are often ignored or misunderstood which leads to absolute chaos and frustration. This can cause massive issues for companies to continue like this long term.

Unlike flashy dashboards or AI forecasts, MRP often operates as part of our day to day and often breaks silently if no one is looking causing massive issues.

From the outside, most ERP systems like Business Central make it easy to click a button and “run MRP.” Easy peasy, right? Ummmm maybe not. Many times, after MRP runs is when reality strikes: endless revisions, wayyyyyy too many lines, constant firefighting, sudden inventory spikes, and planning teams that never rest.

Let’s unpack what’s really going wrong and more importantly, what users can do about it.

 

1. MRP can’t fix bad inputs or processes it Amplifies and Highlights Them

MRP is a rules-based engine. It takes maintenance and attention to:

  • Demand

  • Supply

  • on-hand / negative inventory

  • Item setup

  • Location setup

  • Manufacturing Setup

  • Routings

  • BOM structures

  • Maintaining transactions documents

so the planning and requisition worksheet can generate purchase order, transfer order, assembly order and production order proposals. But MRP is not magic! Tell me, have you heard garbage in, garbage out? Yeah it is a real thing.

If forecasts wobble, trends change, seasons affect you, lead times drift, or BOMs are inconsistent, MRP doesn’t compensate or fix that, it magnifies instability and can cause major confusion and wasted time..

The knock-on effects:

  • unrealistic proposals

  • overreactions to demand changes

  • excess inventory in some places

  • shortages in others


So, what am I really saying? Prioritize master data quality and piloting MRP first, not MRP automation. Do you know what a dampener quantity or period do? Do you know what the lot accumulation does? Are you paying attention?


 

2. More data can add complexity and confusion

Adding things like:

  • Excessive inventory levels

  • multiple planning parameters without proper understanding

  • capacity constraints

  • multiple sources of supply without piloting

  • Stockkeeping Units

  • Incorrect use of locations

  • Lack of data management

and makes MRP behave unpredictably. What should be a stabilizing engine becomes a nervous black box that jumps around every cycle and people feel like they never really understand the suggestions.

This leads to:

  • Weird suggestions

  • planners constantly adjusting

  • priority changes every week

  • “fire drills” instead of planned action

 

Hot Tip! Instead of adding layers and tons of setup out of the gate start with less item planning parameters turned on run a pilot ensure you understand the results, add another planning parameter if needed, run a pilot and ensure again you still understand the results. If you start with EVERYTHING on or really bad dates and data understanding the “why” of MRP is tricky.

 

3. MRP Item Planning and Setup should not be forgotten

Unless you’re Betty Crocker we don’t set it and forget it. Today’s systems still rely primarily on rule-based logic. So, when trends or the market change be sure to adjust your setup.

That means:

  • MRP doesn’t understand volatility

  • MRP doesn’t factor real world uncertainty

  • MRP doesn’t adjust based on learning

  • MRP doesn't know when setup does make sense or is wrong

Modern planning requires a hybrid approach that blends:

  • AI to help with looking at trends and suggesting item card tweaks ongoing where possible

  • Item card reviews periodically to ensure planning parameters make sense (safety stock, minimum order quantity, Lot accumulation period etc)

  • Piloting different scenarios as the business changes such as starting to use forecast, adding a location, introducing new supply documents as examples


As your business rules change ensure you let Business Central know to ensure the suggestions make sense. The system uses the setup to suggest if you know its wrong, change it!


4. Most Organizations Never Diagnose the Issue

One reason MRP fails is because few companies take the time to analyze why it’s failing.

Good diagnostics include:

  • tracking MRP volatility over time

  • identifying which input changes most impact output (location setup, SKUs, Item Setup)

  • isolating where the system is overreacting – do we need a dampeners setup? Is the lot accumulation correct?

  • understanding which setup cause instability

  • Correct item setups and parameters when you find the instability or suggestions are not correct or not giving you the outcome you need

  • Review old data such as sales orders or purchase orders with small backorder quantities and properly managing those.


Once you approach it like a math problem instead of an operational nuisance, solutions become possible. If you just start ignoring the setup and the suggestions but never fix the root cause you’re just asking for problems ongoing. The system won’t fix itself so use AI to help you but remember it also needs human intervention when things aren’t giving you the outcomes you want.

 

The Bottom Line

MRP failures are not an indication or a bad ERP systems, most don’t fail because of software they’re a symptom of a series of disconnects:

  • poor data quality

  • lack of planning item setup and discipline

  • lacking date maintenance

  • no governance around planning setup on items, locations, manufacturing setup

  • lack of understanding on how inputs can affect your outputs

  • lack of piloting use cases like old dates or handling backorders as an example

MRP should help you see ahead, not chase yesterday’s problems. Leaders who treat it as a strategic engine and fix upstream inputs have an opportunity to turn planning chaos into clarity.

 

Three Steps to Fix Your MRP Output Today


  1. Clean and stabilize master data first. This relates to Items, BOMs, lead times, stockkeeping units, location, manufacturing setup and many other areas

  2. Pilot your scenarios to understand how data, transaction and setup can affect your outcomes. Don’t just pilot when everything is perfect and the happy scenario we know that isn’t real life!

  3. Fine tune and turn MRP outputs into metrics you manage and adjust as needed. Ensure you are changing and fine tuning as the suggestions and outcomes are proving not to be helpful or what you want.

 

If you stop tinkering in the detail or frustration and start fixing why the system is suggesting the way it is, your MRP will become a competitive advantage and not an unpredictable expense with potentially disastrous business outcomes.

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