Imagine an adrenaline-filled pilot of a WWII fighter plane with battle scars limping back to base. What enabled the pilot to return safely? Engineers carefully inspected the returned planes and improved the areas where they found gunfire holes. As the person responsible for managing the fighter plane disruption problem, would you rely on the data you see to define mitigation actions, such as reinforcing the plane where holes were spotted, to protect your soldiers and pilots? Would you comfortably make informed decisions based on the accurate and available data you have seen? The challenge lies in human beings' tendency to be biased toward what they see, causing them to discard what they don't see easily. WWII fighter plane engineers taught us a valuable lesson. If they had analyzed the planes that did NOT make it back to the home base, they would have likely come to different conclusions. However, the challenge of obtaining data from the planes that didn't return must be ac...
In a world faced with the prospect of tightening supplies, higher energy costs heightened geopolitical risk, and strained transportation networks, advanced supply chain technologies will become mission-critical for many more companies. The supply chain task is not an enterprise problem; it is an end-to-end network problem involving multiple enterprises. Therefore, the solution does not lie in fixing one link in the chain but in devising a community.