PT. Pan Brothers Tbk. is one of the biggest garment manufacturing organisations in Indonesia, and has production facilities in Tangerang, Bandung, Boyolali, Sragen, Demak, Ungaran and Tasikmalaya cities of Indonesia.
Their garment product line includes woven garments, such as padded and lightweight jackets, pants, shorts, casual pants, and dress shirts and technical, functional and activewear jackets suited for snowboarding, ski outerwear, activewear, jogging, hiking, and other sports and outdoor activities.
Fabric tracking and visibility
Rise in production efficiency
PT. Pan Brothers Tbk. chose IntelloCut for :
- 100% visibility
Auto-generated reporting for 100% visibility.
- Real-time fabric tracking
Real-time fabric tracking on the floor, enabling better utilisation and end-bit management.
- KPI benchmarking
KPI Benchmarking Reports to help in highlighting any bottlenecks in the factory’s fabric utilisation performance, and equip them to take data-backed and informed business decisions.
Set up of independent self-audit teams within the factory to ensure standardised and sustainable processes in the factory.
Fabric Optimisation with IntelloCut
1. Auto-generated reporting
IntelloCut helped through auto-generated fabric reconciliation reports in a single click, giving the user visibility of ongoing consumptions, wastage trends, and cutting quantity.
2. Real-time fabric tracking
IntelloCut’s ability to live track and record every inch of fabric that comes for spreading, helped the Pan team by giving auto-calculated production consumption, along with overall and segregated wastages. This helped the team to get more control over their production floor.
3. AI-based algorithm
IntelloCut’s artificial intelligence-based algorithm helped the team in the auto allocation of generated end-bits in the upcoming lays based on the lay length, fabric group and the number of plies, ensuring maximum utilisation.
4. KPI benchmarking reports
Post factory visit, the implementation team discussed with the factory team and worked on identifying their Key Performance Indicators (KPIs), and at the same time set the benchmarks for quantity analysis, fabric usage and fabric wastage breakdown.
The KPIs helped by highlighting the bottlenecks (if any) in the factory’s fabric utilisation performance and equip them to take data-backed and informed business decisions. This report provided the trend analysis for the factory with respect to their set benchmarks.
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