Abstract: The system, method, and computer program product are disclosed that track the evolution of a network over time through the analysis of media corpora associated with nodes of the network at each time slice. The media corpora may be analyzed to generate word clusters for each time slice that are then compared across time slices to determine how the network has evolved. The evolution may be tracked by determining the similarity of each word cluster of a particular time slice to each word cluster of another time slice. The similarity may be measured by a similarity score for each comparison that may be combined to determine an overall similarity of the network between the two time slices.

Abstract: Methods and systems for determining a time dependent relevancy score of an agent node among an evolving heterogeneous network are described. A processor may expand the heterogeneous network by generating temporal heterogeneous networks representing states of the heterogeneous network at different times. The processor may extract a set of agent nodes from each temporal heterogeneous network and may generate a relationship network based on the extracted agent nodes for each temporal heterogeneous network. The processor may remove the agent node from the temporal heterogeneous network to generate a conditional relationship network excluding the removed agent node. The processor may determine a relevancy score for the agent node based on the corresponding relationship network and the conditional relationship network. Each relevancy score for the agent node may correspond to a temporal heterogeneous network and may indicate an impact of removing the agent node from the corresponding temporal heterogeneous network.

Abstract: The system, method, and computer program product are disclosed that track the evolution of a network over time through the analysis of media corpora associated with nodes of the network at each time slice. The media corpora may be analyzed to generate word clusters for each time slice that are then compared across time slices to determine how the network has evolved. The evolution may be tracked by determining the similarity of each word cluster of a particular time slice to each word cluster of another time slice. The similarity may be measured by a similarity score for each comparison that may be combined to determine an overall similarity of the network between the two time slices.

Abstract: Methods and systems for determining a time dependent relevancy score of an agent node among an evolving heterogeneous network are described. A processor may expand the heterogeneous network by generating temporal heterogeneous networks representing states of the heterogeneous network at different times. The processor may extract a set of agent nodes from each temporal heterogeneous network and may generate a relationship network based on the extracted agent nodes for each temporal heterogeneous network. The processor may remove the agent node from the temporal heterogeneous network to generate a conditional relationship network excluding the removed agent node. The processor may determine a relevancy score for the agent node based on the corresponding relationship network and the conditional relationship network. Each relevancy score for the agent node may correspond to a temporal heterogeneous network and may indicate an impact of removing the agent node from the corresponding temporal heterogeneous network.

Abstract: A tool for determining a non-optimized inventory system is provided. The tool retrieves a plurality of data related to a supply chain. The tool determines an inventory history for the supply chain. The tool creates a set of linear difference equations based, at least in part, the plurality of data related to the supply chain. The tool determines a plurality of supply chain performance measurements of interest. The tool determines one or more non-optimal inventory management practices.

Abstract: A tool for determining a non-optimized inventory system is provided. The tool retrieves a plurality of data related to a supply chain. The tool determines an inventory history for the supply chain. The tool creates a set of linear difference equations based, at least in part, the plurality of data related to the supply chain. The tool determines a plurality of supply chain performance measurements of interest. The tool determines one or more non-optimal inventory management practices.

Abstract: A method for determining a policy that considers observations delayed at runtime is disclosed. The method includes constructing a model of a stochastic decision process that receives delayed observations at run time, wherein the stochastic decision process is executed by an agent, finding an agent policy according to a measure of an expected total reward of a plurality of agent actions within the stochastic decision process over a given time horizon, and bounding an error of the agent policy according to an observation delay of the received delayed observations.

Abstract: A method and system for harvesting collaboration data in accordance with a privacy policy is provided. In one embodiment, the method comprises defining a privacy policy for collaboration data, said privacy policy including a list of fields associated with the collaboration data to be harvested; harvesting the collaboration data associated with the fields specified as allowable under the privacy policy; transforming the collaboration data associated with the fields specified as allowable if said collaboration data can be transformed in accordance with a set of rules defined in the privacy policy; and storing the harvested collaboration data in a database.

Abstract: Embodiments of the invention provide a method, system and computer program product for carbon management for sourcing and logistics. In one embodiment, the method comprises using a computer for quantifying both a cost and a carbon impact of one or more logistics policies relating to a manufacturing process; and minimizing the cost and carbon impact using a defined equation including a first component representing a transportation cost, and a second component representing a carbon cost. In an embodiment of the invention, the quantifying includes using an analytics engine to quantify the cost and carbon impact. The analytics engine may include a shipment analysis module to calculate an optimal transportation policy, a sourcing analysis module for testing alternate sourcing options, a scenario analysis module to find an optimal order frequency, and a sensitivity analysis module to test the impact of various changes.

Abstract: There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

Abstract: Embodiments of the invention provide a method, system and computer program product for carbon management for sourcing and logistics. In one embodiment, the method comprises using a computer for quantifying both a cost and a carbon impact of one or more logistics policies relating to a manufacturing process; and minimizing the cost and carbon impact using a defined equation including a first component representing a transportation cost, and a second component representing a carbon cost. In an embodiment of the invention, the quantifying includes using an analytics engine to quantify the cost and carbon impact. The analytics engine may include a shipment analysis module to calculate an optimal transportation policy, a sourcing analysis module for testing alternate sourcing options, a scenario analysis module to find an optimal order frequency, and a sensitivity analysis module to test the impact of various changes.

Abstract: Embodiments of the invention provide a method, system and computer program product for carbon management for sourcing and logistics. In one embodiment, the method comprises using a computer for quantifying both a cost and a carbon impact of one or more logistics policies relating to a manufacturing process; and minimizing the cost and carbon impact using a defined equation including a first component representing a transportation cost, and a second component representing a carbon cost. In an embodiment of the invention, the quantifying includes using an analytics engine to quantify the cost and carbon impact. The analytics engine may include a shipment analysis module to calculate an optimal transportation policy, a sourcing analysis module for testing alternate sourcing options, a scenario analysis module to find an optimal order frequency, and a sensitivity analysis module to test the impact of various changes.

Abstract: A method, system and computer program product are disclosed for providing an integrated solution to a set of supply chain optimization problems. In one embodiment, the method comprises defining a distribution network, vehicle routing, inventory positioning, and environmental sustainability for a supply chain; and combining an optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability into a single problem. In an embodiment, the optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability are combined into a single problem by using analytical engines.

Abstract: A method and structure for pricing a good or service to a customer includes a calculator that executes a pricing model that includes a dimension of a utility of the good or service to the customer.

Abstract: There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

Abstract: A method and system for scoring and ranking a plurality of component links in a social technical system having a plurality of components representing people and objects are provided. In one aspect, a degree of consistency relative to two or more people working on one or more objects and dependencies between the objects is determined to derive scores for the component links. The method and system identifies gaps in the link and determines the impact of filling the gaps. In another aspect, component links may be ranked and scores aggregated to provide system level quantifications.

Abstract: A method, framework, and system for providing formalized Information Technology (IT) business decision making, which includes determining a relationship between at least one Information Technology (IT) environmental element and at least one Information Technology (IT) performance metric, and determining a business value based on the at least one Information Technology (IT) environmental element and the at least one Information Technology (IT) performance metric to optimize an Information Technology (IT) business decision based on at least one predetermined business objective. The at least one predetermined business objective is based on a set of system constraints.

Abstract: A method and system constructs a socio-technical network representing design and development processes. In one aspect, a network of inter-personal interactions comprising at least a plurality of nodes representing actors in design and development process is established; an artifacts network comprising at least a plurality of nodes representing a plurality of heterogeneous artifact types is established; one or more relationships between the nodes in the network of inter-personal interactions are determined; one or more relationships between the nodes of the artifacts network are determined; and one or more relationships between the nodes in the network of inter-personal interactions and the nodes of the artifacts network are determined.

Abstract: A method and system for harvesting collaboration data in accordance with a privacy policy is provided. In one embodiment, the method comprises defining a privacy policy for collaboration data, said privacy policy including a list of fields associated with the collaboration data to be harvested; harvesting the collaboration data associated with the fields specified as allowable under the privacy policy; transforming the collaboration data associated with the fields specified as allowable if said collaboration data can be transformed in accordance with a set of rules defined in the privacy policy; and storing the harvested collaboration data in a database.

Abstract: A method and system for identifying and quantifying a risk is disclosed. In one embodiment, the method comprises forming a two-dimensional risk matrix, wherein a first dimension of the matrix comprises risk variable categories and a second dimension comprises standard business processes, placing a risk variable onto the two-dimensional risk matrix, wherein the risk variable is categorized by one of the risk variable categories and one of the standard business processes, connecting the variable node with another risk variable in the two-dimensional risk matrix, and applying a learning method to the two-dimensional risk matrix to compose a risk model to use for quantifying the risk. The system comprises a processor operable to perform the steps embodied by the method.