Lessons learned from disruptions and crisis?
- Covid differs from other SC disruptions in scope and timescale
- We seem to respond again in a traditional way by adding inventory and capacity buffers
- Mainly because planning systems could not quickly enough determine the end-to-end impact, and respond quickly
What can you do different?
- Look for early warnings in the transactions of your master data, where variability is becoming a risk. E2E connected visibility is a requirement.
- Take inherent variability into consideration in your planning process. Responding to inaccurate plans lead to wrong corrective decisions.
- Move away from high-medium-low scenario planning and start simulating thousands of plans, embedding planning parameters variability (S&D), to increase the likelihood of actually achieving the plan.
Nextgen technology like LOP.ai (Digital SC Twin) can support you in this journey to continuously predict & absorb variability in your supply chain, focus on the improvement opportunities, and simulate the likelihood to execute plans to fulfill demand.
Survey Report
Supply Chain Opportunities 2021
Lessons learned from disruptions and crisis?
- Covid differs from other SC disruptions in scope and timescale
- We seem to respond again in a traditional way by adding inventory and capacity buffers
- Mainly because planning systems could not quickly enough determine the end-to-end impact, and respond quickly
What can you do different?
- Look for early warnings in the transactions of your master data, where E2E variability is increasing
- Take variability into consideration in the planning process
- Run thousands of simulations to increase the likelihood of achieving a plan, including S&D variability
Nextgen technology like LOP.ai (Digital SC Twin) can support you in this journey to continuously predict & absorb variability in your supply chain, focus on the improvement opportunities, and simulate the likelihood to execute plans to fulfill demand.
