November 2, 2025

Edge To Cloud Unified Namespace Architecture Using Node-Red and MQTT

As manufacturing operations grow in complexity, creating and tracking work orders using spreadsheets, or standalone software can no longer keep pace.

The need for real-time communication, accurate data, and rapid decision-making has driven the move toward digital work order management.

By integrating tasks like work order creation, assignment, progress monitoring, and tracking into a single, unified data ecosystem, manufacturers gain greater visibility and control over the entire production cycle.

To address these challenges, The Unified Namespace offers an effective digital approach to work order management.

Because people often overthink this, I put together a UNS Architecture based on Node-Red and MQTT that helps you quickly get started and helps manufacturers fulfill several key requirements:

𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐓𝐚𝐬𝐤 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐬𝐬𝐢𝐠𝐧𝐦𝐞𝐧𝐭


→ Automate the workflow of creating work orders and assigning them to specific machines, cells, or personnel.
→ Provide clear instructions and checklists to operators and technicians, so they know exactly what needs to be done and by when.

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠


→ Track the status of each work order from creation to completion, capturing data on time, costs, and resources.
→ Offer live dashboards that stakeholders (managers, planners, quality teams) can consult to see how production is advancing.

𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐫𝐨𝐬𝐬 𝐒𝐲𝐬𝐭𝐞𝐦𝐬


→ Ensure that data flows automatically between systems such as ERP, MES, and scheduling platforms.
→ Eliminate the need for repetitive manual data entry, reducing the risk of error and duplication.

𝐂𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠


→ Provide a single source of truth that consolidates all work order information into a unified view.
→ Generate automated reports to evaluate performance metrics and help identify bottlenecks or opportunities for improvement.

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞


→ Tie quality checks directly into work order steps to ensure that any non-conformances are captured in real-time.
→ Maintain full traceability of who worked on each order, what materials were used, and any test results required for compliance.

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.