Abstract: Communication between machines in an event-based manufacturing system. In an event-based manufacturing system, material-specific data obtained for a material produced during a first manufacturing operation is used to govern a second manufacturing operation to decrease the likelihood of at least a delay event, a waste event, or poor quality of the product.

Abstract: Providing quality management and intelligent manufacturing with labels and smart tags in event-based product manufacturing. Some of the disclosed embodiments include a system, method, and computer-readable media for storing, during a process, data associated with a material. Also disclosed are a method of collecting, storing, and reporting machine productivity, waste, and delay information on an event basis in a manufacturing system, a method of capturing and storing material history, a method of automating tracking of positions of components used in a process and correlating portions of a component with production problems, an improved inventory management system, and a method of tracking and recording actions of specific operators of a process performed by a machine.

Abstract: A flat ribbon cable for interconnecting electrical components mounted in mating clamshell enclosure halves of an implantable cardiac stimulation device. The ribbon cable is configured to butterfly open when the enclosure is opened and interconnect components in each half without undergoing undue mechanical stress as the halves are distanced. The ribbon cable is also configured to fold together when the enclosure halves are mated together, without bending, in a very compact manner so as to occupy minimal room in the enclosure when the device is ready for implantation thus preserving more room for batteries, capacitors, and other electrical devices providing the sensing and stimulation functions of the device and/or allowing the overall space envelope of the stimulation device to be reduced.

Abstract: A data integrity module and method for evaluating data in a process information database. A neural network generates statistical patterns for specifying patterns for the data being evaluated. A fuzzy expert rules base specifies rules for evaluating the data. A processor, responsive to the rules base and the statistical patterns, identifies suspect data in the process information database by evaluating the data according to the rules base and the statistical patterns. A modification system modifies the suspect data in the process information database.