
Programme overview
This programme helps teams examine R&D, manufacturing, and business processes end to end to find waste, bottlenecks, risks, and digitalization opportunities.
Optimization begins with operating objectives and current-state evidence before tools, automation, and control models are selected.
Who this is for
Operations, manufacturing, and R&D leaders
Digital-transformation, quality, and continuous-improvement teams
Process owners, data analysts, and information-technology teams
Core content
Mapping current processes, inputs, outputs, roles, and systems
Measuring time, errors, waiting, rework, and missing data
Prioritizing standardization, digitalization, integration, and automation opportunities
Designing measures, small pilots, and controls before scaling
Learning outcomes
Build an evidence-based process and problem map
Create an improvement backlog ranked by impact and feasibility
Define the data and measures to monitor
Design a pilot plan before wider rollout
Delivery options & scope
Level
Advanced
Duration
6-hours
Delivery channel
Online