Abstract: Systems and methods for managing a supply chain. A multi-stage system receives data regarding different components and parts of a supply chain. These data points are formatted, streamed, and classified into a multitude of analysis modules that predictively assess potential problems in the supply chain. Identified potential problems are then further classified, ranked, and routed to relevant users who need to be informed of the potential problems. These users can then implement mitigating actions that mitigate if not prevent the consequences of these potential problems in the supply chain.

Abstract: An apparatus (30), method, network server (42, 43, 44, 46, 48) and system (40) for detecting data patterns in a data stream (37) comprising a plurality of data symbols representing characters of an alphabet, said apparatus (30) executing a deterministic finite automata. The apparatus comprises a state transition register (31) comprising a plurality of states (11, 12, 13, 14, 15) including a start state (11) and at least one accepting state (14), and state transitions (16a, 16b, 16c) from an initial state to a destination state triggered by a data symbol of the data stream (37).

Abstract: Computer controlled method, network server (42, 43, 44, 46, 48) and system (40) for detecting data patterns in a data stream (36) received by a computer (30). The data stream (36) comprising a plurality of data symbols. The computer (30) executes a finite automata (10) comprising a plurality of states (11, 12, 13, 14, 15) including a start state (11) and at least one accepting state (15). State transitions (16) are triggered by a data symbol (17a) according to a state transition register (17) and the method comprises the steps of determining (21), by the computer (30), from a data symbol register (18) whether a data symbol of the data stream (36) is comprised in a group of data symbols not resulting in an accepting state (15), and triggering (22), by the computer (30), a transition (16) to the start state (11) for data symbols comprised in the group and a transition (23) to a state (12, 13, 14, 15) according to the state transition register (17) for detecting the data pattern otherwise.

Abstract: An apparatus (30), method, network server (42, 43, 44, 46, 48) and system (40) for detecting data patterns in a data stream (37) comprising a plurality of data symbols representing characters of an alphabet, said apparatus (30) executing a deterministic finite automata. The apparatus comprises a state transition register (31) comprising a plurality of states (11, 12, 13, 14, 15) including a start state (11) and at least one accepting state (14), and state transitions (16a, 16b, 16c) from an initial state to a destination state triggered by a data symbol of the data stream (37).

Abstract: Computer controlled method, network server (42, 43, 44, 46, 48) and system (40) for detecting data patterns in a data stream (36) received by a computer (30). The data stream (36) comprising a plurality of data symbols. The computer (30) executes a finite automata (10) comprising a plurality of states (11, 12, 13, 14, 15) including a start state (11) and at least one accepting state (15). State transitions (16) are triggered by a data symbol (17a) according to a state transition register (17) and the method comprises the steps of determining (21), by the computer (30), from a data symbol register (18) whether a data symbol of the data stream (36) is comprised in a group of data symbols not resulting in an accepting state (15), and triggering (22), by the computer (30), a transition (16) to the start state (11) for data symbols comprised in the group and a transition (23) to a state (12, 13, 14, 15) according to the state transition register (17) for detecting the data pattern otherwise.