Systems and methods for providing diagnostics for a supply chain
Apparatus, system and method for supply chain management (SCM) system processing. A SCM operating platform is operatively coupled to SCM modules for collecting, storing, distributing and processing SCM data to determine statistical opportunities and risk in a SCM hierarchy. SCM risk processing may be utilized to determine risk values that are dependent upon SCM attributes. Multiple SCM risk processing results may be produced for further drill-down by a user. SCM network nodes, their relation and status may further be produced for fast and efficient status determination.
1. A supply chain platform for providing diagnostics related to a supply chain comprising a plurality of supply chain nodes, comprising:
a plurality of data inputs that receive primary hardware and software data from at least one second supply chain accessible over a computer network, wherein the data inputs comprise data hooks for one or more applications, that receive diagnostic data regarding at least one of the plurality of supply chain nodes, that receive social media feeds, and that receive information on parts supplied by ones of the plurality of supply chain nodes, which parts have characteristics reflected in the social media feeds, upon indication by at least one processor, wherein the parts are associated with a category for determining a frequency of procurement;
a plurality of rules stored in at least one memory element associated with the at least one processor that compare the primary hardware data, the software data, the information on the parts, and the diagnostic data to produce secondary data upon direction from the at least one processor; and
a plurality of data outputs that are based on visualization rules for the one or more applications and configured to:
provide the secondary data to a user interface, the secondary data comprising at least a comparative optimization of the at least one of the plurality of supply chain nodes to predictively address risk of potential disruptions in the supply chain based on the comparison by at least ones of the plurality of rules of the supply chain and historic ones of the primary hardware and software data of the second supply chain, the secondary data also including at least a parts stock buffer for ones of the parts from one of the plurality of supply chain nodes, the part stock buffer being responsive particularly to at least the social media feeds which indicate at least a negating of a prior assumption about a natural disaster or catastrophic event,
wherein the user interface is configured to display the secondary data as selectable graphical node icons organized in a first hierarchy of upstream node icons and downstream node icons corresponding to the plurality of supply chain nodes, and
wherein, in response to receiving a selection of the graphical node icon, the at least one processor is configured to display on the user interface a second hierarchy of upstream node icons and downstream node icons corresponding to the selected graphical node icon.
2. The supply chain platform of claim 1 , wherein the secondary data relates only to selected ones of the plurality of nodes.
3. The supply chain platform of claim 1 , wherein the secondary data relates to all of the plurality of nodes in the supply chain.
4. The supply chain platform of claim 1 , wherein the secondary data relates to ones of the plurality of supply chain nodes other than a node of the user.
5. The supply chain platform of claim 1 , wherein the secondary data is provided to the user interface as a software as a service.
6. The supply chain platform of claim 5 , wherein the software as a service is subject to a subscription fee.
7. The supply chain platform of claim 5 , wherein the software as a service is subject to administrative limitations.
8. The supply chain platform of claim 1 , wherein the diagnostics comprise a primary comparison to a successful second supply chain.
9. The supply chain platform of claim 8 , wherein the primary comparison diagnoses the flaws or inadequacies of the nodes of the supply chain.
10. The supply chain platform of claim 9 , wherein the flaws comprise likelihood of failure.
11. The supply chain platform of claim 1 , wherein the secondary data provides for collaboration across ones of the plurality of nodes.
12. The supply chain platform of claim 1 , wherein the secondary data comprises an action trigger for corrective action in the supply chain.
13. The supply chain platform of claim 1 , wherein the diagnostic data relates solely to automated aspects of the supply chain.
14. The supply chain platform of claim 1 , wherein the diagnostics data relates to optimization of computing resources.
15. The supply chain platform of claim 1 , wherein the diagnostics data relates to optimization of networking of the plurality of nodes.
16. The supply chain platform of claim 1 , wherein the first hierarchy comprises a tree node hierarchy of the plurality of supply chain nodes.
17. The supply chain platform of claim 16 , wherein each node in the tree node hierarchy includes one-to-one, one-to-many and many-to-many connections to other nodes in the tree node hierarchy.
18. The supply chain platform of claim 1 , wherein the procurement comprises a minimum order quantity.
19. The supply chain platform of claim 1 , wherein the user interface comprises a bubble chart.