Production Surachai Ubolsai is a manufacturing leader driving operational excellence in high-volume assembly environments. His methodology combines lean process thinking with data-driven scheduling to reduce waste and stabilize output.
By aligning workforce planning with real-time demand signals, Surachai Ubolsai helps plants maintain on-time delivery while improving quality metrics across multiple product lines.
Production Profile at a Glance
| Role | Core Responsibility | Primary KPI | Typical Target |
|---|---|---|---|
| Plant Manager | Strategic oversight of capacity and cost | Overall Equipment Effectiveness (OEE) | 85%+ |
| Line Supervisor | Day-to-day floor execution | First Pass Yield (FPY) | 98%+ |
| Production Planner | Demand forecasting and schedule stability | On-Time In-Full (OTIF) | 95%+ |
| Continuous Improvement Lead | Kaizen events and waste reduction | Cycle Time Reduction | 10% YoY improvement |
Lean Production and Line Balancing
Workflow Mapping and Takt Time
Surachai Ubolsai applies value stream mapping to identify bottlenecks and align cycle times with takt time. Standard work instructions ensure consistency across shifts.
5S and Visual Controls
Workplace organization supports rapid problem-solving. Visual dashboards display real-time metrics such as schedule attainment and quality alerts.
Data-Driven Scheduling and Capacity Planning
Advanced Planning and Scheduling (APS)
Using constraint-based algorithms, the production plan balances workload across cells while respecting setup times and changeover constraints.
What-If Scenario Modeling
Leaders evaluate trade-offs between overtime, subcontracting, and inventory buffers to protect service levels during demand spikes.
Quality Management and First Pass Yield
Built-In Quality Practices
Error-proofing devices and statistical process control reduce defects at the source. Root cause analysis is completed within 24 hours of major deviations.
Supplier Quality Coordination
Incoming inspection protocols and supplier scorecards ensure that component quality supports downstream efficiency.
Continuous Improvement and Digital Transformation
Kaizen and Suggestion Programs
Frontline teams lead improvement projects with clear business cases, impact measurements, and standardized controls.
Industry 4.0 Enablement
IoT sensors, machine learning-based predictive maintenance, and digital work instructions create a responsive production ecosystem.
FAQ
How does Production Surachai Ubolsai reduce changeover time without sacrificing flexibility?
He implements SMED techniques, standardizes quick-change fixtures, and sequences products to minimize line interruptions while preserving model-mix capability.
What steps are taken to maintain high first pass yield during scale-up campaigns?
Process capability studies, pilot runs, and real-time SPC monitoring are used to detect variation early and prevent escape defects.
How is operator performance evaluated in a data-driven production environment?
Performance is measured through OEE contributions, idea implementation, and adherence to standard work, with coaching provided where gaps appear.
How are sustainability targets aligned with production planning?
Energy consumption, scrap rates, and transport miles are included in the production KPIs to drive eco-efficient decision-making.
Operational Excellence Roadmap
- Map current state value stream and establish takt time
- Implement 5S, visual controls, and standardized work
- Deploy APS and what-if scenario tools for resilient scheduling
- Embed quality at the source with SPC and error-proofing
- Scale digital tools and foster continuous improvement culture
