How to Tame the Chaos? Automating Scheduling in High-Mix / Low-Volume Production

In the world of mass (High-Volume) production, planning is simple—the line runs at a steady rhythm. But what happens when new orders come in every day, production runs are short, and changeovers are frequent? For production directors and planners operating in a High-Mix / Low-Volume model, Excel is no longer enough. In this article, we explain why static ERP systems fail in dynamic environments and how MeMOM—a next-generation digital platform—solves the problem of "bottlenecks" using adaptive algorithms.

Why are Excel and Classic ERP Insufficient for High Variability?

Most manufacturing companies start scheduling their manufacturing operations with a spreadsheet. However, in lot-size-one or custom production, there are simply too many variables for the human brain or a statictable to handle.

The main problems with the traditional approach are:

  • No reaction to breakdowns in  real-time:  When a machine stops, the plan in Excel becomes obsolete in a second.
  • Invisible bottlenecks: ERP sees "resources" but rarely accounts for nuances, such as the competencies of a specific employee or the specific changeover time required for an unusual part.
  • "Firefighting": The planner spends 80% of their time updating the plan and only 20% optimizing it.

You need a tool that doesn't just display the plan, but actively recalculates it in response to changes.

How Does Adaptive Scheduling (APS) in MeMOM Differ from Standard MES?

A traditional MES (Manufacturing Execution System) is used to collect data. MeMOM goes a step further by combining MES functions with advanced APS (Advanced Planning and Scheduling).

Feature Traditional: Excel / MES / ERP System MeMOM Platform (Adaptive MOM)
Approach to the Plan Static
("This is how it should be")
Dynamic
("This is how it is now, so we are changing the plan")
Reaction to Disruptions Requires manual intervention by the planner Automatic re-allocation of tasks in real-time
Ideal Application Mass, repetitive production Unit, short-run, prototype (contract) production
Algorithm FIFO Queuing (First In, First Out) Multi-criteria optimization (time, cost, deadline)

How Does MeMOM Automate the Planning Process? (Case Study)

Let’s imagine a scenario: An urgent order needed "yesterday" comes in, andone of the key machines breaks down.

In the MeMOM system, the process looks like this:

  1. Detection: The system notes the machine downtime (via IoT or an operator report on the panel).
  2. Simulation: The APS algorithm checks thousands of scenarios in seconds. "What happens if we move order     X to machine Y?"
  3. Decision: MeMOM proposes a new, optimal schedule that minimizes delays for all orders, not just that     specific one.

This is what we call the Adaptive Loop. The system "learns" the efficiency of your shop floor and combines is with a plan for future. By collecting more and more data, it plans more precisely with every order.

Schedule for discrete manufacturing
Concrete Benefits: What Do You Gain by Implementing MeMOM?

For engineers and management, hard data counts. Implementing digital operations management in the MeMOM model translates to:

  • 50-90% Reduction in planning time: Instead of spending hours arranging the schedule (e.g., moving tasks around in Excel), the planner simply verifies the system's ready-made proposal.
  • 20-30% Increase in OEE (Overall  Equipment Effectiveness): Thanks to better utilization, micro-stoppages are eliminated.
  • Timeliness (OTIF): Precise estimation of production completion dates based on real data, rather than wishful thinking.

Summary

High variability production doesn't have to mean chaos. It only requires tools adapted to its dynamics. If your company is wasting time constantly updating Excel—it’s time to check how the algorithms in MeMOM work.

Contact us to schedule a free demonstration of the system using your data!

FAQ
Is MeMOM suitable for small and medium-sized enterprises (SMEs)?

Yes. Unlike "heavy" corporate systems, MeMOM is designed to be accessible to the SME sector (subscription model instead of license purchase and expensive infrastructure, better access to consultants, including an AI agent to assist the user).

Does the system integrate with my current ERP (e.g., Comarch, SAP, Enova)?

MeMOM acts as an operational layer. It pulls orders from the ERP, optimizes their execution on the shop floor, and sends back feedback regarding their completion status.

How long does implementation take?

Thanks to its cloud architecture and predefined templates for discrete manufacturing, initial results can be seen in just a few weeks, rather than years.

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