What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
The supply chain of things: IoT in supply chain
When everything is analytics, nothing is analytics...?
The widespread adoption of the term "analytics" reminds me of the evolution of the term "supply chain management." Initially the term focused on supply chain planning. It involved demand and supply balancing and the heuristics and optimization tools that came out of advanced planning and scheduling. Over time practically everything was included
Avoid bloating your supply chain
Over the course of my career as industrial engineer turned supply chain planning advocate I've had the opportunity to work hands-on with many manufacturing and supply chain planning solutions. This has included solutions offered commercially by the usual suspects of ERP and post-SCM consolidation supply chain solution providers. Most of these