The rise of complex supply chains interaction and related data (the volume of structured and unstructured data) stimulate to a reflection: the connected supply chain operations could be so many to be unmanageable without a proper analytics just not talking about accomplish manual input and interpretation of data and related processes.
Probably fast, advanced analytical capabilities to support supply chain managers to operate on alert-based decision making to avoid or mitigate effectively business perturbation or disruption.
- What could be these capabilities mainly driven by modern enabling technologies?
- Is it reasonable thinking about a supply chain transformation towards digital platforms and applications?
- Are traditional supply chains really endangered in becoming increasingly overwhelmed when not evolving the operational model to digital?
- Can digitalization provide a relief of forecast with respect to the limited and uncertain future perspective of current markets?
In this article we present how sedApta is transforming a traditional supply chain decision support system in a next generation decision analysis, modelling, control and learning system.