Abstract: A system, method and computer program product for the root cause analysis of the failure of a manufactured product is disclosed. The present invention includes the development of a knowledge model, based on information obtained from historical warranty claim forms and various manufacturing data sources. The invention also includes processing text information in a free-form text that is obtained from warranty claim forms by using text-tagging and annotation techniques. Thereafter, the knowledge model is converted to a Bayesian network. The present invention provides a user interface to select parameters and corresponding instances from current warranty claim forms. The selected parameters and corresponding instances are used as input evidence for the Bayesian network. The present invention facilitates the process of drawing inferences for root cause analysis of the failure of manufactured products and corresponding probabilities.

Abstract: The disclosed embodiment relates to methods, systems, and computer readable code for establishing transshipment of a product between stocking locations. The exemplary method comprises the steps of transmitting a transshipment request to at least one supplier requesting transshipment of a product, the transshipment request including information regarding the product and specifying a reward for transshipment of the product, receiving a handshake request from one of the suppliers in response to the transshipment request, the handshake request indicating the willingness of the one of the suppliers to provide the product as specified in the transshipment request and including information regarding the transshipment; and accepting the handshake request, thereby initiating transshipment of the product from the one of the suppliers in accordance with the accepted handshake request.

Abstract: A system and method is disclosed of implementing a production planning module that is configured to optimize overall costs associated with reconfiguring a production facility during a changeover between to produce a another product family over a plurality of cycles. User input data is received via a user interface and a first state vector is created and is representative of a first product family and a first inventory of items of all product families manufactured at the production facility. A first action vector is created of a first quantity of items to be produced of the first product family in a first current cycle and a second product family to be produced in a second cycle. A first state-action value function is calculated for the first action vector in a first iteration and incorporates a first sampled demand of the first inventory items of the product families, a first inventory cost associated with the first inventory and a first set up cost.

Abstract: A system, method and computer program product for the root cause analysis of the failure of a manufactured product is disclosed. The present invention includes the development of a knowledge model, based on information obtained from historical warranty claim forms and various manufacturing data sources. The invention also includes processing text information in a free-form text that is obtained from warranty claim forms by using text-tagging and annotation techniques. Thereafter, the knowledge model is converted to a Bayesian network. The present invention provides a user interface to select parameters and corresponding instances from current warranty claim forms. The selected parameters and corresponding instances are used as input evidence for the Bayesian network. The present invention facilitates the process of drawing inferences for root cause analysis of the failure of manufactured products and corresponding probabilities.