How Plasman Cut Changeover & Maintenance Downtime with Real-Time, Operator-Driven Insights
Client
Industry:
Automotive Manufacturing
Built-In Value:
Real-Time Visibility
Machines Connected:
Injection molding
Reading time:
~3 minutes
Overview
Cutting Changeover & Maintenance Downtime with Real-Time, Operator-Driven Insights
Plasman is a global automotive supplier specializing in injection-molded exterior components for major automotive brands. Operating in a high-mix, high-precision environment, Plasman’s Windsor plant knew that changeovers and maintenance downtime were unavoidable, but unmanaged downtime was not.
After struggling with limited visibility and adoption from a legacy system, Plasman turned to Shoplogix to bring clarity, accountability, and real-time insight to the shop floor.
They’ve been using Shoplogix since November 2023, and the impact has been immediate.
Quick Snapshot
Before Shoplogix
Limited insight from ShiftWorx’s
Changeovers are treated as “fixed cost”
Maintenance DT trending high
Labour performance anecdotal
How Shoplogix Helped
Real-time downtime tracking & trend analysis
Data-driven focus on setup efficiency
Root-cause visibility by event & duration
Labour module ties operators to performance
After Shoplogix
Sustained reduction in changeover & maintenance downtime
Changeover time per occurrence reduced by over 50%
Maintenance downtime reduced month over month
Smarter scheduling using real production data
The Challenge
Like most injection molding manufacturers, changeovers were one of Plasman’s largest and most disruptive downtime drivers.
On top of that:
Maintenance downtime was difficult to analyze beyond surface-level totals
Labour efficiency varied by operator and part, but there was no objective way to measure or act on it
Their previous platform, lacked adoption and did not deliver actionable insights
The result? Too much time reacting, not enough time improving.
What That Looked Like on the Plant Floor
What That Looked Like on the Plant Floor
Changeover time fluctuated wildly between jobs
Maintenance events were logged, but not consistently analyzed
Setup time was often mis-coded or blended into other downtime categories
Supervisors relied on experience instead of data to assign jobs and operators
Everyone knew there were opportunities, they just couldn’t see them clearly.
The Shoplogix Solution
The real-time execution layer Mondelez was missing.
After evaluating 30 different solutions, Mondelez selected Shoplogix Smart Factory Suite to complete its IDF strategy.
Why Shoplogix?
Because it connects directly to machines, delivers real-time operational visibility, and empowers operators, supervisors, and leadership with the same trusted data — instantly.
Monthly changeover downtime tracked by total hours and time per occurrence
Clear trends showing sustained improvement over time
Identification of best-performing changeovers vs. outliers
Maintenance Downtime Under Control
Maintenance DT tracked by month with a clear downward trend
Faster identification of repeat issues and long-duration events
Data used to prioritize preventive actions instead of firefighting
Labour Performance, Measured Objectively
Labour module links operators to parts, machines, and outcomes
Identifies who runs specific jobs most efficiently
Enables smarter scheduling decisions backed by real data
What’s Next: SMED Insights
Plasman is now rolling out Shoplogix SMED insights, measuring true part-to-part time to:
Labour module links operators to parts, machines, and outcomes
Identifies who runs specific jobs most efficiently
Enables smarter scheduling decisions backed by real data
The Real Results
$1.5M in annualized operational benefits
59% reduction in waste
59% reduction in waste
54% reduction in changeover time
Stronger accountability across teams
Operators and managers aligned around the same real-time truth
Changeovers
Total changeover hours cut by more than 60% from peak levels
Time per changeover reduced from ~2 hours to under 1 hour
Sustained improvement month after month, not a one-time gain
Maintenance Downtime
Clear, consistent downward trend in maintenance DT
Faster response to issues that actually impact production
Less guesswork, more targeted action
Labour Efficiency
Data-driven scheduling replacing assumptions
Visibility into operator strengths by part and machine
Improved collaboration between supervisors, operators, and maintenance
What the Customer Says
“Overall, as a team we love the product, love the collaborative approach that Shoplogix and Plasman have established, and love the gains through ‘LIVE’ data and visualization that the platform provides.”
Key Takeaways
Changeovers are not “fixed”, they’re measurable and improvable
Live, trusted data drives faster adoption than reports ever could
Labour efficiency improves when performance is visible, not personal
Sustainable gains come from engaging the floor, not just the office
Why It Matters for Manufacturers
For injection molders and automotive suppliers, margins are won or lost between jobs, not just during them.
This case proves that:
Technology alone isn’t enough
Ease of use drives adoption
Adoption drives insight
Insight drives results
Shoplogix bridges the gap between the shop floor and leadership, turning everyday production data into measurable performance gains.
Ready to get started?
Hop on a free no-commitment strategy call with one of our manufacturing experts to learn more.