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Transparency & Analysis

Turn Production Data into Actionable Insights

Monitor machines, tools, and production processes in real time. Identify deviations, compare production runs, and uncover optimization potential.

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Production Data Without Context Creates Blind Spots

Many manufacturers collect large amounts of data but struggle to transform it into meaningful insights. OSPHIM provides transparency across machines, tools, and production lines.

Data spread across multiple systems

Limited visibility into production performance

Hidden inefficiencies and process deviations

Slow identification of optimization opportunities

One Platform for Production Transparency

Production Dashboards

Monitor production, quality, and process KPIs in real time.

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Digital Shopfloor

Visualize your production hall and machine park.

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Comparative Analytics

Compare processes, machines, and tools to see improvement opportunities.

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PRODUCTION DASHBOARDS

Dashboards Tailored to Your Needs

Create process- or role-specific dashboards for operators, engineers, production managers, and executives.

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Features

Combine your visualization needs

Fully control your views

Share your dashboards with others

Use process-specific widgets

Custom KPI visualization

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DIGITAL SHOPFLOOR

See Your Production at a Glance

Visualize machines, peripherals, and production cells on a configurable 2D shopfloor layout.

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Features

Real-time machine status

Visual production overview

Direct navigation to machine details and dashboards

Run Analyses for your processes

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COMPARATIVE ANALYTICS

Understand Why Processes Perform Differently

Compare machines, tools, materials, shifts, or production sites to uncover hidden differences and optimization potential.

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Features

Find inefficiencies, e.g. in sister molds

Compare machine performance

Analyze shift performances across timeranges

Leverage knowledge to optimize production sites

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BUSINESS IMPACT

Turn Insights into Better Decisions

Transform production data into measurable improvements by identifying best-performing processes, reducing troubleshooting effort, and improving operational efficiency.

Faster troubleshooting

Improved process standardization

Increased machine utilization

Supdecision-making across teams

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