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Precision, consistency, and uptime — now visible in real time.
Leanworx helps injection moulding manufacturers monitor cycle times, reduce rejections, and optimize cooling — so every shot counts.
Smarter Cycles, Cleaner Moulding
Injection moulding demands tight control over cycle time, cooling, and quality. But most plants rely on manual logs, delayed insights, and operator judgment — leading to avoidable scrap, hidden downtime, and expensive mould damage.
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Analyze trends in cycle time across cavities, machines, and shifts to catch bottlenecks early.
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Get notified when cooling issues or shot time variations cross thresholds—before scrap builds up.
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Track rejection types like short shot, flash, or warping per cavity and machine to reduce waste.
Reduce Scrap with Real-Time Tracking
Leanworx transforms your injection moulding shop into a smart, connected production environment. Get real-time insights on machine performance, rejections, and setup delays, so you can reduce cycle time variance and keep your moulds running clean and cool.
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Tag and analyze setup delays (e.g., mold alignment, incorrect temp) for faster resolution.
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Use usage-based alerts and MTBF data to trigger timely maintenance and avoid breakdowns.
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Compare OEE across machines, shifts, and products to identify high performers and weak links.
Ideal for hydraulic and electric injection moulders handling multi-cavity, high-precision parts.
Cooling delays and setup inefficiencies are the primary causes of lost productivity.
Inconsistent cooling and cycle times lead to high rejection and rework rates.
Manual tracking misses a significant chunk of hidden downtime and inefficiencies.
Improper setup often damages tooling, increasing maintenance time and cost.
Precision Tracking for High-Stakes Production
Capture and optimize mold changeover time with clear root-cause insights
Monitor cycle time deviations in real time to prevent quality issues like flash or warping
Track rejections machine-wise and cavity-wise for faster root-cause resolution.
Benchmark shift-wise performance to drive accountability and improvement
Benchmark shift-wise performance to drive accountability and improvement
Improve cooling efficiency by analyzing cycle time vs. part quality trends
Our subscribers includes some of the most prominent names in the manufacturing industry. Hear firsthand from leaders who have experienced the transformative power of our solutions.
An Indian automotive parts manufacturer faced growing challenges in managing operator efficiency and retention. While the company employed over 300 operators and ran 130 CNC lathes and machining centers, there was no reliable way to assess individual performance or reward high productivity. All operators received fixed salaries regardless of skill, discipline, or contribution to output.
A leading exporter of precision-machined castings for railways and off-road vehicles was facing a 15% annual growth in orders. At first glance, the solution seemed obvious: purchase 18 new machines to meet the additional demand. However, this would have required a ₹5.6 crore capital investment that the management was keen to avoid unless absolutely necessary.
A Tier-2 automotive parts manufacturer was losing close to 3 hours of productive time every day due to untracked machine downtime during shift changes. Across 39 CNC machines running three 8-hour shifts, this added up to a 12% reduction in daily output.
In a bustling hydraulic pumps manufacturing plant, one persistent issue was silently draining productivity — each of the 8 HMCs in a specific bay was experiencing one hour of daily downtime, consistently logged as “Waiting for Tool.” With each machine carrying a cost of ₹1000 per hour, the total monthly loss was nearly ₹2,00,000 across those machines.
An aerospace components manufacturer operating 40 CNC machines across three 8-hour shifts faced a puzzling issue: despite running 24 hours a day, output remained far below expectations. Spindle run times, a critical indicator of productivity, averaged only 30%. Yet machines were booked around the clock.
A leading springs manufacturer was facing an invisible yet costly problem: the absence of accurate, real-time production quantity data. Without knowing how many parts were being produced during each shift, they frequently overproduced, leading to inventory build-up and rising holding costs. On other days, they underproduced, causing delivery delays and reactive scheduling.
Smarter Operations, Less Supervision.
Get real-time visibility into machine status, output, and utilization with zero manual reporting delays or guesswork, across every shift and cell.
Know what’s running, what’s lagging, and what’s stopped. Track performance and part flow as it happens across shifts and job types.
Capture every unplanned stop with automated alerts. Log accurate downtime reasons and send instant notifications to teams for faster response.
Monitor Availability, Performance, and Quality over time. Compare OEE across shifts, machines, and product types with no manual effort required.
Connect machines to the cloud for smarter decisions. Start collecting real-time data without disrupting existing tools or production workflows.
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