Automated Production Line Solutions
Without Manufacturing Execution (MES) production systems, data collection and the Industrial Internet of Things (IIoT) - manufacturing production lines face multiple difficult issues. Some of the typical barriers can include:
- Complex order schedules, customer demands and profitability sub-optimized for production line equipment utilization (negatively impacting production, customer satisfaction and profitability)
- Labor and production means mismatched to production demands causing bloated or insufficient production resources
- Out of sequence issues resulting in production loss, rework, repair, and extended production schedules
- Unmonitored complex production recipes generating operator work quality errors and loss of assembly and component traceability while preventing product shipping holds
- Intricate and difficult-to-remember operator work instructions - producing quality issues and ultimately production losses
- Unpredicted equipment failures resulting in unplanned downtime
These scalable and extensible systems can be “right-sized” to a customer’s needs and provide the following functions and benefits:
- Managing production schedules and routing utilizing AI, optimizing production to customer, urgency and profitability to production line utilization
- Generating and managing labor and means schedules to ensure production resources correspond appropriately to production demand
- Managing production routing, product, and material tracking to prevent “out of sequence” issues (ensuring production schedules are kept, while quality data collection and product traceability provide consistency, uniformity, and historic records)
- Providing operators with visual work instructions resulting in first-time quality production while reducing the need for extensive training
INGENOVA360 Digital Solutions provide systems that allow for optimized planning, including real-time system response to changing inputs and system conditions, real-time monitoring, visualization, and analysis of operating performance and quality KPIs to enable proactively addressing issues as they arise. Having the ability to have a post-run analysis of quality data and system performance will support process, component, and system performance improvement initiative.
By collecting data from processes, people, machines, devices, and systems, aggregating that data and transforming it into information and insights, INGENOVA360 and JR Automation will give you the production line management tools to help you meet the manufacturing demands of Industry 4.0.
JR Automation has married its 40 plus years of automation development expertise with the highly technical demand of Industry 4.0, and the results are INGENOVA360.
