2. Reduce Waste and Inventory Levels
Everyone plans to use raw materials efficiently, but plant floor scenarios are dynamic. One key to minimizing waste is choosing the best way to route perishable ingredients – like milk – through a production facility.
Using an MES to track raw material lots and work-in-progress (WIP) inventories in real time can optimize raw material usage – and have a dramatic impact on your inventory levels.
One global cheese producer was able to reduce raw material inventory levels by 15% after applying an MES.
How? First an MES tracks incoming supply, as well as expiration dates, storage temperature values and other data that affect raw material quality. As a result, you have access to up-to-date, granular and contextualized information that an ERP or manual system simply cannot provide.
Then, an MES enables you to use those raw materials most efficiently – depending on the real-time equipment status on the production floor.
The MES will alert you to changes in supply and manufacturing capacity. And based on rulesets you define, it dynamically adjusts and orchestrates production runs so materials are used in an order that maximizes freshness and reduces waste.
3. Take the Guesswork Out of Yield
In the low-margin CPG industry, improving yield is one of the surest ways to increase profitability. However, many companies simply don’t understand where all raw materials are consumed in a process.
Of course, companies do their best to establish reasonable yields upfront. After all, you have experts that know the machines, manufacturing process and expected performance. But unanticipated losses during production often mean that actual yield falls short of projections.
Most companies track and record actual yield on the backend. But this information isn’t available in real time during the production process. Because of this, you may end up over-producing to hit your targets.
An MES delivers the insight you need to stop the losses – and match yield to production targets. And, an MES tracks KPIs such as “actual vs. planned consumption” in real time throughout the process. As a result, the system can also monitor yields at various manufacturing stages – and dynamically orchestrate adjustments.