Gary Neights, Elemica's Director of Product Management, Interviewed
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Analytics in Manufacturing Supply Chains – Predicting Behavior In Chemical Industry Supply Chains, Gary is asked for his input on the topic. A sample response can be seen below.
Product-by-product and plant-by-plant, predictions can lead to information overload and indecision. Supply chain decisions have financial impact and need to be taken in near real-time. For example, if rail cars to a manufacturing site are predicted to be late. Do I dispatch trucks as a rush shipments… or dip into safety stock? If trucks, how many? Over the long-term data may be analyzed systematically and accounted for during periodic planning cycles or contract renegotiations.