How do I choose between different facility throughput dashboards for recycling facility operators and process engineers?

To choose between throughput dashboards for recycling facility operators and process engineers, start by deciding who needs to act on the data and how quickly.

1) Define the primary user

For facility operators

Choose a dashboard that is:

• Real-time or near-real-time
• Simple and visual
• Focused on current throughput, line status, bottlenecks, downtime, and alarms
• Easy to read at a glance on a large screen or tablet

Best when the goal is:

• Keep the plant running
• Respond to stoppages
• Hit shift targets
• Track output by hour/shift/day

For process engineers

Choose a dashboard that is:

• More analytical and historical
• Able to show trends, correlations, efficiency, and root causes
• Flexible with filters and drill-downs
• Able to compare material streams, equipment settings, and yield loss

Best when the goal is:

• Improve process performance
• Analyze bottlenecks over time
• Optimize sorting or recovery rates
• Support continuous improvement projects

2) Match the dashboard to decision speed

A useful rule:

• Operators need dashboards for immediate decisions
• Engineers need dashboards for investigative decisions

If a screen is meant to answer:

• “What is happening right now?” → operator dashboard
• “Why is this happening, and how do we improve it?” → engineer dashboard

3) Compare the most important features

Operator dashboard should include:

• Throughput by minute/hour/shift
• Line uptime and downtime
• Machine status
• Alarm summaries
• Target vs actual output
• Simple bottleneck indicators
• Color coding and alert thresholds

Engineer dashboard should include:

• Throughput trends over time
• Material composition or contamination levels
• Yield and recovery metrics
• Equipment performance by asset
• Cause-and-effect analysis
• Historical comparisons across shifts, grades, or campaigns
• Exportable data for deeper analysis

4) Consider data granularity

• Operators: summary-level data, updated frequently
• Engineers: detailed time-series data, often with filters and longer time ranges

If the dashboard has too much detail, operators may miss what matters.
If it has too little detail, engineers won’t be able to diagnose problems.

5) Ask what action the dashboard supports

A good test:

• If a user sees the dashboard and can take a direct action immediately, it fits operators.
• If the user sees the dashboard and needs to investigate, compare, or model a process, it fits engineers.

6) Practical selection approach

If you are choosing a product or designing one, evaluate each option using these questions:

• Does it show live throughput clearly?
• Can users identify bottlenecks in seconds?
• Does it support historical trend analysis?
• Can it drill down to machine, shift, or material stream?
• Is it usable in a noisy, fast-paced plant environment?
• Can it support engineering analysis without overwhelming operators?

7) Best practice: use two layers

In many recycling facilities, the best solution is:

• A front-line operator dashboard for real-time operations
• A separate engineering dashboard for analysis and optimization

They can share the same data source, but the layout, metrics, and interaction style should differ.

Quick rule of thumb

• Choose an operator dashboard if the main goal is monitoring and immediate response
• Choose an engineer dashboard if the main goal is diagnosis and optimization

If you want, I can also help you build a feature comparison table for operator vs engineer dashboards, or a requirements checklist you can use to evaluate vendors.