Zerynth is transforming the traditional concept of time and motion in manufacturing by focusing on how machines are used. This innovative approach sets it apart from other systems designed to manage production in industrial settings.

Unlike conventional MES or MOM systems, which focus on production orders, batches, or items to determine what was produced and how resources were utilized, Zerynth emphasizes machinery usage.

In Zerynth, a work order is not merely a record of what was produced but an abstract framework describing how a machine was used over a specific period. This distinction positions Zerynth as a machinery utilization intelligence system rather than a traditional production monitoring tool.

Why Zerynth Is Not a MES

Traditional systems connect machines to client codes, production orders, or batches. Zerynth, however, focuses on machines’ operating conditions, enabling the analysis of both aggregated KPIs (like OEE, performance, or quality) and detailed insights such as:

  • Tools used
  • Applied settings
  • Processed materials

This approach allows companies to delve deeper into operational performance and achieve advanced analyses of time and motion, supported by IoT and AI. As a result, organizations can effectively optimize production processes.

Work Orders Monitoring and Shopfloor: Start with Data

Zerynth flips the conventional MES model on its head. Instead of mapping processes and adapting machines to meet production goals, Zerynth collects data directly from machines. This empowers businesses to:

  1. Gain a clear view of resource usage.
  2. Evaluate how to optimize production processes using collected data.
  3. Identify improvement opportunities without immediately altering existing workflows.

A Data-Driven Approach to Time and Motion

Optimizing production requires more than identifying efficient methods—it also involves accurately calculating the time needed for specific tasks, such as:

  • Method study: Systematically analyzing activities to introduce impactful improvements.
  • Work measurement: Applying techniques to determine how long a qualified operator needs to perform a task under predefined efficiency standards.

Zerynth integrates this approach with:

  • Ergonomics: Ensuring operations are safe and prioritize operator well-being.
  • Safety: Adhering to stringent production safety standards.

Real-World Application: Optimizing Cycle Times

A plastic component manufacturer leveraged Zerynth’s work orders monitoring to analyze and enhance cycle times for injection molding machines. This analysis reduced setup times by 15%, boosting production capacity and operational efficiency.

The data-driven insights uncovered inefficiencies, leading to tangible benefits in productivity and cost savings. Moreover, the company improved activity planning, enhancing responsiveness to customer demands.

Innovation and Scalability for Industry 5.0

As operational complexity grows, Zerynth provides advanced tools for swift, data-driven decisions. By combining time and motion analysis, businesses can:

  • Optimize resource usage.
  • Improve production planning.
  • Align operations with quality and productivity goals.

Zerynth’s scalable platform integrates IoT and AI, turning collected data into strategic insights. It helps identify trends, anomalies, and continuous improvement opportunities, preparing businesses for the challenges of Industry 5.0, such as the increasing interplay between humans and machines.

Interested in learning how Zerynth’s work orders monitoring can help you optimize production processes? Contact us today for a free consultation!

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About the Author: Angelica Puddu

Angelica Puddu
Angelica works in the Zerynth Marketing Team. She graduated in Digital Humanities, so she has a critical perspective of how digital technology is increasingly part of everyday life. She likes to manage and organize projects and, in her free time, she likes to attend theater workshops and play sports.

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