Anonymous Construction Chemical Company Migrates Legacy Control to Modern PlantPAx DCS
A leading construction chemical company deployed AI for Process Optimization in Chemicals. rockwellautomation.com reports no complete outcome metric.
What the leading construction chemical company was trying to fix
A leading construction chemical manufacturer had built its production operations around a proprietary, closed black-box automation and batch control system that had become a significant operational liability. In the chemicals sector, where batch accuracy and process traceability directly affect product quality and regulatory compliance, dependence on an unsupported legacy platform carries compounding risk. The system offered no visibility into its internal logic, meaning any modification or expansion required expensive third-party intervention. As hardware reached end-of-life and spare parts became scarcer, the company faced mounting exposure — a single critical failure could halt production with no clear path to rapid recovery.
What the leading construction chemical company deployed
Tomatic Ltd., a Rockwell Automation system integrator, replaced the legacy black-box hardware and proprietary network infrastructure with Rockwell Automation's PlantPAx Distributed Control System (DCS). PlantPAx is built on the Allen-Bradley ControlLogix platform and FactoryTalk software suite, providing an open, standards-based architecture rather than a vendor-locked environment. The migration included deployment of a modern virtualized environment, allowing control system software to run on consolidated server hardware — reducing physical footprint and simplifying future upgrades. The new architecture was designed with Industrie 4.0 connectivity in mind, enabling the plant's control layer to expose process data to higher-level analytics and MES systems without requiring proprietary middleware or third-party intermediaries.
Results
The migration delivered operational autonomy that the company previously lacked. Key outcomes include:
- Full system transparency: Engineers can now access, modify, and extend control logic internally, eliminating reliance on the original vendor for any configuration changes.
- Eliminated legacy risk: Outdated hardware and unsupported software were retired, removing exposure to unrecoverable failures and obsolete spare parts.
- Extended asset lifecycle: PlantPAx's roadmap and Rockwell Automation's long-term support commitments provide a clear path for spares availability and platform evolution.
- Virtual environment capability: Consolidation onto a virtualized infrastructure reduces hardware complexity and improves disaster recovery posture.
The transition positioned the plant to progressively adopt data integration and analytics capabilities as operational needs evolve.
Key Takeaways
- Audit proprietary dependency before it becomes a crisis — black-box systems that require vendor intervention for routine changes create compounding operational risk over time.
- Open architecture is a prerequisite for Industrie 4.0 — you cannot layer modern analytics on top of a system that doesn't expose its data.
- Virtualization reduces long-term migration friction — moving control software off dedicated hardware simplifies future upgrades and backup strategies.
- System integrator selection matters — Tomatic Ltd.'s role was central to a migration that required both deep process knowledge and platform expertise.
- Migration is also an opportunity to standardize — replacing legacy systems with a DCS like PlantPAx allows facilities to align on common libraries and operator workflows across sites.
Evidence for the leading construction chemical company's Process Optimization deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- rockwellautomation.com
- Last updated
Limitation: The cited source does not identify the company.
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Vendor
Details
- Industry
- Chemicals
- Use Case
- Process Optimization
- AI Technology
- Not available in record
- Company Size
- Enterprise
- Company
- Leading Construction Chemical Company
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