In Life Sciences, every supplier quality event has a deeper impact that just financial, operational or supply chain impact. For every missed delivery or every batch that failed due to poor performance of a supplier, there is a patient who has been kept waiting or has missed their opportunity to better life. In most cases, these failures do not appear suddenly, but there are signals across the value chain that can be traced weeks before the actual failure event occurs. This article explores what it would take to connect those signals to create a predictive and end-to-end view of the suppliers performance and what would be achieve if such a predictive view is made available.
Part 1 of 6 in the Supplier Intelligence in Life Sciences series
In Life Sciences, every supplier quality event has a deeper impact that just financial, operational or supply chain impact. For every missed delivery or every batch that failed due to poor performance of a supplier, there is a patient who has been kept waiting or has missed their opportunity to better life. In most cases, these failures do not appear suddenly, but there are signals across the value chain that can be traced weeks before the actual failure event occurs. This article explores what it would take to connect those signals to create a predictive and end-to-end view of the suppliers performance and what would be achieve if such a predictive view is made available. Part 1 of 6 in the Supplier Intelligence in Life Sciences series Read More Technology Blog Posts by SAP articles
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