New technology advancements and Industry 4.0 have accelerated productivity across the manufacturing industry. Software like Enterprise Resource Planning (ERP) and Manufacturing Execution System software (MES) are essential to being competitive.
Smart factories are the future of manufacturing because connected machine software (like an MES) can communicate with applications (like an ERP). Most importantly, an MES can facilitate total insight into production processes and analyse accurate data collected at each manufacturing moment.
This data capture and analysis is a fundamental component of a smart factory. Data analytics is the vital tool to increasing productivity in manufacturing because it reveals the truth about manufacturing processes.
What is a smart factory and how do data analysis tools like an MES fit in?
Besides easy scheduling, an MES provides real-time information which enables data driven decision making, process improvements and complete insight into troubleshooting assessments, labour resource requirements and predictive maintenance.
Within smart factories, technology empowers machines and people to share information seamlessly and automatically across the shop floor and into the ERP. MES connected equipment produces vast amounts of data that offers visibility into critical metrics. This data can be analysed and used in transformative ways – that positively affect profitability.
Data delivers visibility and certainty – if you know what’s happening on the manufacturing floor you can measure and improve it.
Visibility and traceability enable a regular critique of manufacturing processes, benchmarking progress and measurement of improvements.
More visibility for your business means more easily available information for your customers. Your team can access manufacturing plans and answer customer queries in real time.
AspectPL MES offers a constant stream of collected data, which manufacturers can use for greater agility, efficiency and flexibility – as well as improving profitability in their business.