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Transcript

Site intervenes to save up to $500,000 USD of product

SHepherdsville

Shipment is getting warm from spending much time in Indy

Chicago & indiana

Risk tools warns of risk in the last leg

Cilag

CASE STUDY: HOW PREDICTIVE ANALYTICS AND REAL-TIME dEVICES LEAD TO SUPPLY CHAIN RESILIENCE

  • Up to $500,000 USD worth of shipments were saved with a single intervention. Expanding this capability can save at least ~$7M
  • Temperature and location visibility lets J&J deliver on the promise to ship products to our patients safely and on time
  • The combination of a historical risk assessment tool, temperature prediction algorithm, and real-time temperature assessments equip our associates with the tools to mantain a resilient supply chain

Shipment departs from origin for the first leg. Before the shipment departs, our lane risk tool warns us of a medium temperature and transit time risk in the final leg of the journey. Cilag adds real-time sensors to the shipment to provide location and temperature visibility throughout the product journey

shipment departs from origin with a warning flag

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Risk tool receives pings from devices confirming that the shipment spent 1 day longer than average in Indianapolis. Predictive algorithm anticipates a temperature excursion happening in the upcoming leg. We have a chance to intervene and minimize product damage.

algorithm predicts that shipment will get too hot

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Shepherdsville is notified of a shipment at risk of becoming invalid and immediately plugged in the envirotainer package to halt further degredation. While this is happening our real-time temperature monitoring tool (DTEM) calculated that the product was still safe to use every hour. This shipment is safe for our patients!

receiving site alerted and shipment validated to be safe

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