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ATN SCRIPT Planning: Seamlessly linking production scheduling and energy consumption

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Published date: 12/03/2026 Updated date: 31/03/2026

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ATN SCRIPT Planning automates the connection between production schedules (e.g., iObeya) and machine energy data. The result: no more manual data re-entry, more accurate energy allocation per machine and work order, and significant time savings for your teams.

Case Study · Plastics Industry · Energy Management

From planning to energy analysis: automating the link between production scheduling and machine energy consumption

In plastic injection moulding, managing production alone is no longer enough: energy consumption must also be monitored and controlled. The challenge lies in the level of detail. Companies need to move from a global view of energy usage to a precise breakdown by machine and by production order. Without this, comparison, optimisation, and a credible CSR approach remain out of reach.

Industry: Plastic injection moulding
Context: Daily production planning and increasing pressure to control energy consumption
Challenge: Reliably connect production planning data with machine energy consumption data
Solution: ATN SCRIPT Planning, connected to the planning tool and the EMS, to automate correlation and analysis

Context: plastic injection moulding, daily planning, energy under pressure

In the plastic injection moulding industry, manufacturers must manage two priorities in parallel: planning the daily use of presses and teams, while also optimising costs and energy consumption across a fleet of powerful machines ranging from 50T to 2500T, without compromising production performance.

• Planning the daily use of machines, jobs, schedules, and priorities.
• Optimising costs and energy consumption across a demanding industrial environment.
• Maintaining output and production rates while improving operational control.

For production and engineering teams, this translates into a simple but critical question: how much energy does a specific part, batch, or mould actually consume, machine by machine?

Objective: automatically link planning and consumption

Our client, a leading French manufacturer, wanted to build a more precise and usable link between production planning and energy data.

• Automatically connect planning data with energy data from the EMS and sensors.
• Allocate energy consumption to each production order with a useful level of precision.
• Eliminate the tedious manual cross-referencing of planning data and energy readings.
• Free up time for analysis and turn energy data into an operational decision-making tool.

Before ATN SCRIPT: too many manual tasks, too many risks

Before automation, the process relied on a fragile manual workflow that required repeated handling of data from multiple sources.

• Extracting schedules by retrieving machines, jobs, and time slots from the planning tool or dashboards.
• Cross-referencing planning and energy data by linking sensor readings to the correct machines and time periods.
• Performing spreadsheet calculations to estimate energy per work order or per series, with a high risk of errors caused by time gaps, code mismatches, or manual re-entry.
• Producing reports to monitor performance and support internal decision-making.

Consequence: slower analysis, less reliable data, and difficulty implementing a proactive energy efficiency strategy.

Solution: ATN SCRIPT Planning, an automatic bridge between the planning tool and the EMS

To structure and automate this workflow, the client deployed ATN SCRIPT as a planning automation assistant. The solution acts as a gateway between planning data and energy data, creating a continuous and reliable flow of information.

How it works:

Reading and extracting the schedule

ATN SCRIPT reads key production information such as machines, jobs, time slots, and teams from the planning source, whether via iObeya, a web portal, or an API.

Transformation and standardisation

The data is automatically converted into a usable and standardised format, including codes, structures, and harmonised fields.

Automatic update of the production context

The schedule is updated without re-entry, allowing the EMS to correlate energy readings with the exact production order and the relevant machine, whether a 2500T press, a 1000T press, or another unit.

Teams refocus on analysis

Engineers no longer spend their time preparing data. Instead, they work directly with dashboards showing energy consumption by part, series, or mould, enabling faster decisions and better optimisation.

What this changes: business value, ROI, and CSR

ATN SCRIPT does more than simply move data. It turns a fragile process into a reliable, repeatable, and controllable workflow.

• For management: more accurate allocation of energy costs by product, leading to better margin control and more informed trade-offs.
• For technical teams: less re-entry and more analysis, allowing them to move from data collectors to efficiency drivers.
• For the company: stronger CSR performance through greater traceability and a more detailed understanding of actual consumption.

Results observed

• 80% less time spent preparing analyses, thanks to near-instant correlation between planning and energy data.
• Increased reliability through the elimination of errors linked to manual cross-referencing, time mismatches, and re-entry.
• Better visibility of energy costs by machine, mould, and batch, enabling faster adjustments.
• Useful traceability that supports quality and energy management initiatives such as ISO 9001 and as a foundation for ISO 50001.
• Better use of expertise, with teams focusing on improving injection cycles instead of administering data.

Beyond planning: a reusable model

This use case demonstrates that the same approach can be extended to many other situations where field data must be connected to management systems.

• Automation of quality indicators such as scrap monitoring and maintenance data such as downtime.
• Synchronisation between ERP or MES systems and IoT data.
• Reading, analysing, and classifying recurring information or operational documents.

Conclusion

With ATN SCRIPT Planning, connected to the planning environment, our client moved from a manual and fragile process to an automated, fast, and reliable workflow. The company strengthened its competitiveness by controlling costs more precisely while also reinforcing its CSR commitment.

By eliminating re-entry and cross-referencing tasks that add no value, ATN SCRIPT turns energy data into a real management tool and frees teams to focus on what matters most: analysing, deciding, and optimising.

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The marketing team behind myATN and DFM Europe is dedicated to sharing insights, case studies, and updates that showcase how digital innovation is transforming industries. We bring together expertise in technology, communication, and industry trends to deliver content that informs, inspires, and empowers our readers.

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