01
Regional optimization silos
Each geography developed and operated separate tools, limiting collaboration and creating redundant effort.
Case study · Chemicals & industrial gases
Global Production Optimization Platform
Centralizing industrial data, solver capacity and optimization algorithms across Europe, the Middle East and APAC.
A multinational chemical company had developed production-optimization algorithms, but they were being run locally on staff laptops with limited computational power and duplicated solver investments across regions. NoèmeX created a centralized optimization platform, consolidated real-time and historical industrial data, analyzed resource usage and introduced a governed shared-resource model for global algorithm deployment.
The challenge
What the organization needed to change
The public page keeps the core business problem visible so prospective clients and search engines can understand the engagement without requiring a form submission.
02
Limited computing capacity
Locally run algorithms constrained speed, scalability and the ability to optimize production in real time.
03
High solver and infrastructure costs
Regions were acquiring separate solver resources that were often underutilized outside local peak periods.
04
Fragmented industrial data
SCADA, historian, PI and other systems were not integrated into one governed data foundation for optimization.
What we did
A structured path from fragmented operations to a governed solution
This summary explains the major workstreams. The downloadable case study can carry the deeper implementation narrative, diagrams, frameworks and technical detail.
01
Centralized optimization platform
Created a scalable environment where engineers across regions could deploy algorithms and share computational resources.
02
Industrial data consolidation
Integrated real-time and historical data from SCADA, enterprise historian and other systems into a common architecture.
03
Usage analytics
Parsed server logs and built BI views of actual resource utilization to support an evidence-based shared-resource model.
04
Governance and knowledge sharing
Established feature prioritization, financial review, cost-sharing and reusable algorithm deployment across geographies.
Business systems / environment
SCADA · Enterprise Historian · Plant Information (PI) · Optimization solvers · Server logs · Internal systems
Benefits and results
What changed after implementation
Only outcomes supported by the documented case material are shown here. Where the source describes future AI opportunities, they are not presented as delivered results.
Solver and infrastructure costs were reduced by more than 70% through centralized sharing and better utilization.
Engineers could deploy and test optimization algorithms across plants rather than operating them only on local laptops.
Integrated real-time data supported quicker adjustments to demand, energy costs and operating schedules.
The platform created a reusable foundation for production forecasting, optimization and cross-region collaboration.
Related capabilities
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These links connect documented delivery evidence to the focused NoèmeX capabilities most closely associated with the work.
Where this work connects
Follow the case into the organization, leadership agenda and industry context.
The same evidence can be entered from several points in the site: by industry, by function or by executive decision context.
Business functions
Executive priorities
Chemicals & industrial gases
Explore the broader industry context, operating pressures and related NoèmeX capabilities connected to this type of transformation.
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Business challenges
Problems this case can inform.
These links connect the delivery evidence back to the business problems organizations may be trying to solve today.
Your Contact Persons
Connect directly with the people responsible for this work. Explore their experience and contact options.
Zahra Fathisalout
Founder · Eng., CSP, CMLAI
Corporate governance · ASC-C.Dir. candidate
Works across strategy, enterprise transformation, data, AI and governance, bringing operational engineering experience to complex transformation decisions.
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Brendan Young
B.Com, Director of Operations
Connects transformation design with operating discipline, drawing on logistics, fulfillment and high-throughput operational leadership.
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Detailed case study
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Explore the transformation in greater detail, including the operating context, implementation approach, systems environment and key outcomes.
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