Optimizing Production and Reducing Emissions with IoT in Aluminium Manufacturing
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Automotive
- Electronics
Applicable Functions
- Logistics & Transportation
Use Cases
- Continuous Emission Monitoring Systems
- Demand Planning & Forecasting
Services
- System Integration
About The Customer
The customer is a leading producer of rolled aluminium and a global leader in beverage can recycling. They serve a wide range of industries including automotive, consumer electronics, construction, foil and packaging. The company has a complex, multi-stage production process that includes both internal and external operations. They are committed to sustainability and are actively seeking ways to reduce their carbon emissions. The company is also focused on improving their operational efficiency and performance, and they are leveraging digital transformation to achieve these goals.
The Challenge
The case study revolves around a leading producer of rolled aluminium and a global leader in beverage can recycling, which also serves customers in automotive, consumer electronics, construction, foil and packaging. The company has a complex, multi-stage production process that includes both internal and external operations. The challenge was to align these operations to maximize performance and streamline production. The company was also looking to reduce its carbon emissions. The planning processes were previously carried out via Excel, which was not efficient enough. The flow of information between the company and its operational partners was also crucial for driving performance improvements.
The Solution
The company adopted o9’s Supply Planning to match supply and demand across operational steps, visualize the plan, and enable reporting. This solution helped ensure orders were fulfilled on-time and in-full (OTIF) and proactively identified resolutions to disruptions that may impact performance. The company also integrated with o9’s open, cloud-native platform to establish better and more consistent data exchanges between internal and external operations. To minimize downtime, o9 implemented a third-party LP solver to create optimal production plans that sequence internal and external production operations. The company also used o9 to monitor and manage carbon emissions, reducing the volume of CO2 produced throughout production.
Operational Impact
Quantitative Benefit
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