Competition from unexpected sources, increased consumer expectations, and a dramatic shift in the place cars hold in peoples’ lives is forcing automotive manufacturers to confront some difficult decisions. Learn how the industry will continue to evolve and see how an intelligent enterprise can help.
Just what is supply chain "digitization" anyway? And how far along are companies in adapting to it? Two PITT OHIO executives - CFO and CIO Scott Sullivan, and CMO and EVP Geoff Muessig, engage in a lively discussion about the promise and reality of the digital supply chain. A SupplyChainBrain Power Lunch Roundtable presentation.
Continental, one of the world’s largest producers of components for passenger and commercial vehicles, is under increasing pressure from auto manufacturers to increase operational efficiency and visibility.
IoT generates a tremendous amount of data - much more than people generate manually with their keyboards and cameras. And the volume of IoT data being generated will continue to increase at an exponential pace. How can companies extract the maximum value from that data? How should they think about it?
There is no doubt that big data has become a growth market, and is becoming one of the few on-premises projects seeing increased spending, as companies move less data-sensitive functions to the cloud. But where's the needed talent?
With the Jan. 1 U.S. Drug Supply Chain Security Act (DSCSA) lot-level traceability deadline now behind us, many pharmaceutical companies are turning their attention to full drug serialization. DSCSA requires that manufacturers mark packages with a product identifier, serial number, lot number, and expiration date by 2017. In that period, highly regulated packaging and distribution processes must be changed; physical equipment must be procured and operationalized; enterprise-wide IT must be implemented; and end-to-end serialization testing with supply chain partners must take place well in advance of the deadline to allow time for any necessary adjustments. Given these multi-faceted complexities, three years is an aggressive implementation time frame.