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Optimize people resources
Daniel Igbokwe avatar
Written by Daniel Igbokwe
Updated over 11 months ago

By helping you improve efficiency across the plant floor, Guidewheel can help you optimize your valuable people resources to hit your production targets at a lower cost. For example, tagging issues allows you to identify the frequency and impact of not having enough qualified operators to run your critical machines. Knowing when you’re losing capacity due to staffing can be the first step to improved allocation of limited human resources to meet your production plan.

Displaying the Guidewheel Scoreboard on the plant floor also allows your team to understand how they’re performing and when they need to make adjustments to stay on track. By reducing downtime and improving efficiency you’ll understand true plant capacity for improved planning and scheduling. Setting goals and reviewing progress in daily meetings will keep the team accountable to driving continuous improvement.

Key Guidewheel features:

Tagging

Scoreboard

Pareto Analysis

Issue automatically created in Guidewheel when machine idling due to “no operator”

Issue automatically created in Guidewheel when machine idling due to “no operator”

How to use them:

Identify root causes of lost production

  • Refer to “Identify downtime root causes” playbook for more information about how and where to tag in Guidewheel.

  • Tag all downtime issues to understand where you’re losing production time to late starts, long changeovers, unplanned maintenance, and other issues.

  • Pareto issues to see which are having the biggest impact on production and make a plan to address them.

Track performance in real-time

  • Display live shift view on Guidewheel Scoreboard on plant floor.

  • Train operators and supervisors to track performance using the Scoreboard so they know how they’re tracking to goals and can make adjustments throughout the shift to stay on-track.

Review Trends in shift handoff meeting

  • Navigate to Trends

  • View Chart by percentages or hours for last 7 days.

  • If specific machines have been having downtime issues, filter to see these machines individually and review how you’re trending/progress against goals.

  • Make a plan with the team to address top downtime causes for the upcoming shift.

Understand true capacity to optimize planning and scheduling

  • Once you’ve addressed top causes of downtime, you’ll understand your true capacity.

  • Use this data in planning and scheduling to determine if you can reduce or eliminate overtime, or consolidate shifts.

Track your progress

  • Navigate to Issues > Analysis and select Chart Type “Time Series.” This shows you how issues are trending over time.

  • We recommend looking at the last 7 days, last 14 days and last 30 days to see how you’re trending against goals.

  • Make a plan to continuously improve.

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