Roadvisors Blog

Industrial Engineering Blog

Analysis, guides and perspectives on the intersection between data, artificial intelligence and operational efficiency.

Industrial productivity tips from Roadvisors

Industrial Productivity Tips

Weekly ideas to improve processes, resources, operational efficiency and shop-floor decisions.

Explore the published tips and download each visual resource.

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Operator reviewing industrial productivity on an automated line

Operational Productivity Checklist

Download a practical resource to detect losses, bottlenecks, manual processes and indicators that do not lead to action.

Free resource to start an operational review.

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Artificial intelligence applied to industrial engineering

The Role of Artificial Intelligence in Industrial Engineering

Discover how machine learning and deep learning are redefining predictive maintenance, quality control and operational decisions on the shop floor.

Leaders reviewing operational KPIs and hidden risks on a plant dashboard

The Illusion of Green KPIs

Learn why healthy-looking indicators can hide rework, inflated capacity and financial losses inside industrial operations.

Infographic about profitability, liquidity and cash gaps

Profitable but Cash-Strapped

Why a company can report profit and still run out of available cash by the end of the month.

Industrial manager worried about trapped inventory on the shop floor

The 100% Trap: Efficiency That Kills Cash

Why producing at maximum utilization can lock up liquidity and fill the plant with inventory that cannot be invoiced.

Industrial dashboard for calculating OEE

How to Calculate OEE Using Power BI

A practical guide to Overall Equipment Effectiveness: how to measure it, interpret it and use it to remove operational waste.

Industrial KPI indicators on an operations dashboard

How to Define and Manage Industrial KPIs Effectively

Learn how to design dashboards and indicators that drive real decisions instead of creating reports with no operational action.

Industrial data analysis with common mistakes highlighted

5 Common Mistakes in Industrial Data Analysis

Avoid common traps in industrial data analysis, from missing operational context to averages that hide variability.

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