Featured speakers:
(from left to right)
- Aaron Muhl, Managing Partner and Co-Founder | On Time Edge
- Tim Conlon, Director - Global Partnerships | PlanetTogether
- Dennis Faisst, Team Lead - Drug Product Planning & Scheduling, Freiburg Site | Pfizer
- Brian Vogel, CEO | On Time Edge
What you'll learn:
- Why “connected systems” still fail to deliver consistent performance
- Where production schedules break between planning and execution
- How execution-aligned scheduling reduces daily replanning
- The role of APS, MES, and operational data in closing the gap
- How to improve OTIF, throughput, and recovery without system replacement
- Practical steps to make scheduling accountable to real-world constraints
The Problem: Connected, but Not Performing
Most manufacturers have invested heavily in ERP, APS, MES, and integration. Yet performance remains unstable—marked by constant replanning, expediting, and missed delivery targets. Connectivity alone does not create execution. The production schedule remains disconnected from shop floor reality, resulting in fragile plans that break under real-world conditions.
A Pharma Manufacturer’s Shift to Execution-Ready Scheduling
This session presents a client-led transformation story from a top-three pharmaceutical manufacturer. Despite significant digital investment, fragmented planning and unreliable schedules were undermining performance.
Key changes included:
- Aligning scheduling logic to real execution constraints
- Establishing clear decision ownership across planning and operations
- Integrating APS, MES, and operational data into a cohesive execution loop
- Reducing dependence on manual intervention and expediting
Measured Outcomes
- Reduced daily replanning and schedule volatility
- Improved on-time delivery (OTIF)
- Stabilized throughput across operations
- Faster recovery from disruption
- Lower reliance on expediting and workarounds
From Connectivity to Control
Production scheduling is where digital strategy either delivers or breaks. Moving beyond integration requires:
- Execution-aware scheduling logic
- Trusted, interoperable data across systems
- Clear ownership of scheduling decisions
- Continuous alignment between plan, schedule, and execution
