Shopfloor Skills
Gum Mixing
Reducing Adhesive Failures via QR-Based Microlearning
How vishwajeet.org optimized a high-stakes manual process at YOJ Pack-Kraft using Just-in-Time performance support and standard work engineering.
-45%
Bonding Defects
< 2 Min
Learning Burst
100%
SOP Compliance
ROI 12x
Estimated First Year
The Challenge
Adhesive (Gum) preparation is the "silent driver" of quality in corrugation. Variability in mixing ratios and temperatures across different shifts led to inconsistent bonding, resulting in significant rework and wasted raw materials.
The Strategic Intervention
Instead of traditional classroom training, we implemented Performance Support in the Flow of Work. We digitized the "Tribal Knowledge" of the most senior operators into a standardized, scientific procedure.
Measurable Evidence
Our post-intervention audits showed a clear correlation between microlearning access and defect reduction. The following index demonstrates the trend from baseline (100) to quarter-end stability.
Frequently Asked Questions
How did the shopfloor operators respond to QR codes?
Initial skepticism was replaced by enthusiasm when operators realized the QR codes acted as a "safety net." They no longer had to wait for a supervisor to verify mixing ratios, which gave them more autonomy and confidence.
What was the biggest technical challenge?
Environment readiness. In a manufacturing setting with dust and chemicals, we had to use ruggedized tablet mounts and high-durability laminated QR stickers to ensure the technology remained accessible.
Can this model scale to other processes?
Absolutely. We later scaled this to QC machine calibration and electrical maintenance. The principle of "Microlearning at Point of Need" is universal across manufacturing.