The smart supply chain needs both real-time operational data and analytics
by Rafael Granato on Feb 3, 2014 11:19:00 PM
I read with interest today's article on how IBM is driving value into Supply Chain with Analytics to create a "smarter supply chain". It provides the following example:
"The idea is to “embed analytics into the fabric of supply-chain processes.” Traditionally, analytics has been performed within planning processes on a periodic basis. IBM now wants to take that capability a step further, building analytics into its execution function. It wants to produce reports and generate recommendations directly to users on a day-to-day frequency."
At PINC, we have been doing our part to make supply chains smarter, with the analytics we produce:
- At a site level, our yard management solutions select the optimal parking slot or warehouse gate in real-time as it is checked in at the gate. This form of reactive scheduling requires our cloud-based systems to have an accurate picture of all yard activities. Customers still try and plan for shipment arrivals over the day, to spread the load and minimize waits, but trucks hardly ever arrive at their appointment times, making such planning almost redundant. Daily or even hourly data is not current enough.
- At a yard network level, our Transportation Suite services provide analytics based on past activity that centralized supply chain execution managers use to view shipments across the supply chain.
Our definition of the "smarter supply chain" encompasses both analytics to aid planning and real-time information to make supply chain operations more reactive to real-time demands on the ground.