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Analytics used to precisely plan and schedule production
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Process Analytics
Applicable Industries
- Metals
Applicable Functions
- Discrete Manufacturing
Use Cases
- Advanced Production Planning and Scheduling
- Flexible Manufacturing
Services
- System Integration
The Challenge
Building steel mills and the related equipment is a highly complex process that requires orchestrating thousands of components, workers and machines. Lacking modern planning software, Italy-based Danieli & C. Officine Meccaniche S.p.A., a steel plant builder with factories in five countries in Europe and Asia, struggled to coordinate materials and resources, compromising efficiency and jeopardizing timelines.
About The Customer
Danieli & C. Officine Meccaniche S.p.A. is a large company based in Europe that designs, constructs, and sells plants and equipment for the metallurgical industry, such as steel and iron. The company has factories in five countries across Europe and Asia. The company's operations involve the complex process of building steel mills and the related equipment, which requires the orchestration of thousands of components, workers, and machines.
The Solution
Danieli chose a mathematical optimization solution that takes into account all production constraints of every single plant, enabling the builder to develop optimal production schedules that align with order requirements, delivery dates and manufacturing goals. If changes in production plans occur, what-if scenarios show their effect on workloads while the solution runs multiple simulations and results are delivered in a few seconds, helping Danieli schedule its flexible manufacturing system (FMS) machine operations.
Operational Impact
Quantitative Benefit
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