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ACCELERATE DATA-DRIVEN PROCESSES 

Today, manufacturers face an ongoing scarcity of skilled workers. LNS Research notes that over 70% of manufacturers say their productivity has been negatively impacted by this issue. Today, the challenge is figuring out how to get more productivity out of their current teams.

L2L FlowEngine lets manufacturers automate and standardize work processes so they can maximize their workforce's productivity. It enables employees of all skill levels to be successful by providing critical, in-the-moment guidance, automating tasks, and improving outcomes. 

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CREATE FLOWS FAST

FlowEngine is an easy-to-implement, no-code solution for creating rules-based automations. It can harness data from across multiple siloed systems and use it to establish standardized business rules and optimized workflows.

Typical use cases include:

  • Integrating Data: Quick import/export from legacy systems, ongoing synchronization, data transformation, and customizable data mapping
  • Automated Decision-Making: Intelligent algorithms to reduce manual process interventions and errors, dynamic rule adjustments based on real-time data insights, and adaptive decision-making to accommodate changing conditions and priorities
  • Accelerating Onboarding: Task-level guidance, consistent performance standards, interactive training modules embedded within workflows, and performance tracking with feedback mechanisms for continuous improvement
  • Ensuring Compliance: Real-time monitoring and enforcement, mitigation of risks and maintenance of compliance, automated audit trail generation for regulatory reporting, and rule-based alerts and notifications for non-compliance issues

SAMPLE FLOWS

ESCALATING OPERATOR FIXES

Problem: Increased operator fixes are going unnoticed, resulting in machine downtime, reduced production, and poor product quality.

Solution: Implement a rule within FlowEngine:

  • Trigger: Detect operator fixes
  • Actions: Create a code yellow dispatch and push an MS Teams notification

Outcome: This proactive approach enables timely intervention to minimize downtime and optimize productivity.

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CONDITION-BASED MAINTENANCE

Problem: Data from machines is not captured and utilized. Consequently, there's a reliance on operators to manually notify when a machine is down, leading to avoidable machine downtime.

Solution: Implement a rule within L2L FlowEngine

  • Trigger: Detect out of nominal machine parameters
  • Actions: Generate a maintenance dispatch

Outcome: Production experiences less downtime due to unexpected machine failures. 

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REAL-TIME DASHBOARD

Problem: A real-time dashboard intended to show line performance must combine data from multiple sources (L2L and external data sources) and calculate values as needed.

Solution: Implement a custom rule within L2L FlowEngine.

  • Trigger: New data available from any source
  • Actions: Retrieve data from source, update calculation, refresh dashboard

Outcome: The user is able to build a dashboard that wouldn’t be possible with L2L data alone

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LEARN MORE ABOUT L2L FLOW ENGINE

Download our FlowEngine eBook to learn how you can drive performance with improved guidance and automated decision-making.