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We help operational teams to make performance leaps through better data exploitation

Are you drowning in ERP exception messages? There’s a way to turn things around


Technology is wonderful. Enterprise software such as ERPs, MRPs and other Supply Chain Management platforms collect enormous amounts of data and effectively automate a wide array of tasks and processes in order to save industrial planners precious time.

However, it’s not uncommon for ERP and MRP systems to go overboard and generate a constant influx of “exception messages” — simply because they’re not designed to cope with a volatile reality.

Without a way to make sense out of that flood of automatic notifications and identify which should be addressed in priority, it’s only too easy for Supply Chain and Manufacturing managers to drown in the mass.




When Exceptions Become The Rule


"Stock fallen below safety stock level”. “Coverage not provided by master plan”. “Order proposal has been changed”. As a Supply Chain or Manufacturing manager working with ERP and MRP systems, you’re probably fairly familiar with such “exception messages”. Exception messages are issued by the system whenever reality deviates from the plan. In other words, it’s a way for the ERP to alert you to unforeseen events and issues (such as stock shortage or excess, procurement blockers, timeline inconsistencies, and so forth).

This is a good thing, right? You get instant notifications in case of problems, enabling you to analyze and solve them in a timely manner and to stay on top of your inventory and schedule while maximizing operational performance.  


The trouble is that the typical industrial planner receives hundreds or even thousands of such messages every day. That’s a lot, and definitely more than one can absorb. The exception messages usually don’t provide insights into the operational and financial impact of the issues. This means that it’s up to you to decide on which to prioritize, based on the information you have… and sometimes just on a hunch.

What’s more, going through an endless list of specific messages about specific items might cause you to over concentrate on details instead of focusing on the bigger picture. There is such a thing as too much information.



Why Such A Slew Of Exceptions?


Is it actually normal to be buckling under a seemingly never ending stream of inbound exception messages? The answer is no… and yes. A Gartner research paper Maverick* Research: ‘Demand-Driven’ Is Deadly to Your Supply Chain  analyzes that the industry’s overall approach to Supply Chain planning is still essentially driven by demand forecasts. Manufacturers strive to anticipate future product demand as accurately as possible, then base their inventory, procurement and production plans on these estimates. While this made total sense a few decades ago, when markets and supply chains were significantly simpler and stabler, this planning method is arguably less efficient in a world in constant flux. With the acceleration of product life cycles, the impetus for diversification, and the overall fragility of global supply chains, formulating accurate forecasts is increasingly challenging. As a result, it becomes impractical to base all supply and operations plans on demand estimates — however, this is still the philosophy behind industry-grade ERP and MRP systems. In sum, exception messages multiply due to the growing hiatus between a prediction-based approach to industrial planning and an increasingly unpredictable world.



A Necessary Evil?


Achieving flawless forecasting reliability is hardly an option in our changing world. As it is impossible to eliminate uncertainty in operations altogether, exception messages might have to be viewed as a fact of life.


Is there a surefire way to tweak the industrial planning process in order to optimize the intake, prioritization and overall management of these messages? Not really, unless you have significant time and budget on your hands. Process adjustments tend to be time-consuming and expensive (if only because of the need to engage in change management activities). So are initiatives aiming to reconfigure and/or customize ERP systems. And so are more recent attempts at using generic low-code and no-code platforms to build applications for managing exception messages automatically. Otherwise, taking special training can help you to navigate the lists of messages faster and more efficiently — to some extent.  

Fortunately, there’s another way to improve the handling of Supply Chain and Production anomalies without upending the whole process and system.



How Advanced Data Science Is Changing The Game


The key reason why Supply Chain and Manufacturing managers find themselves at a loss when faced with their never-ending lists of exception messages is a lack of information about the real meaning and impact of each message.

How can you tell the inconsequential from the critical among the spate of potential and actual issues reported by the system? How can you identify which exception message will have the highest impact on sales orders, cycle times and other KPIs? Figuring this out manually is next to impossible in our modern, complex factories that involve many moving parts. Excel and other such office tools don’t help much.


However, what if you had data intelligence tools providing you meaningful data and insights to help you analyze, prioritize and tackle supply chain anomalies and discrepancies?

Exception messages may inform you that parts are missing. But what if you had a system letting you know that a specific missing part will jeopardize the delivery of a costly end-product to a strategic customer?


That’s just what Operational Intelligence solutions such as Pelico’s are making possible. Acting as intelligent layers that sit on top of transactional systems (ERPs, PLMs, Time Tracking…), such software consolidate all the information at the plant level to provide a comprehensive, real-time view on supply, demand and operations, with smart analysis capabilities to make sense out of the data and offer recommendations for prioritization.

The teams are able to anticipate bottlenecks in production and supply chain, and they have the necessary intelligence to support their decision making. As a result, they focus on actual issues rather than on exception messages. In a nutshell, they are empowered to build and operate the resilient, adaptable supply chains of tomorrow.


Interested in Operational Intelligence? Schedule a fifteen-minutes call with our experts to see Pelico in action.



Redaction:
Antoine Ohleyer, Product Strategist
Illustration:
Gülşah Keleş
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Blog articles

We help operational teams to make performance leaps through better data exploitation

Pelico acts as a smart digital companion for Supply chain teams. It empowers operational teams to: continuously monitor bottlenecks, act fast with AI-assisted recommendations and instant alternative scenarios simulation & streamlined collaboration between functions over a common view of information to resolve issues, fast