19291results about "Manufacturing computing systems" patented technology

Smart graphic elements are provided for use as portions or components of one or more graphic displays, which may be executed in a process plant to display information to users about the process plant environment, such as the current state of devices within the process plant. Each of the graphic elements is an executable object that includes a property or a variable that may be bound to an associated process entity, like a field device, and that includes multiple visualizations, each of which may be used to graphically depict the associated process entity on a user interface when the graphic element is executed as part of the graphic display. Any of the graphic element visualizations may be used in any particular graphic display and the same graphic display may use different ones of the visualizations at different times. The different visualizations associated with a graphic element make the graphic element more versatile, at they allow the same graphic element to be used in different displays using different graphical styles or norms. These visualizations also enable the same graphic element to be used in displays designed for different types of display devices, such as display devices having large display screens, standard computer screens and very small display screens, such as PDA and telephone display screens.

The present invention allocates the supply of critical components and manufacturing capacity by optimizing critical material planning decisions and dynamically allocating constrained materials using advanced substitution logic that considers alternate suppliers and supports product life cycle from design through end-of-life. The present invention may utilize unique synchronized allocations and matched sets logic. The synchronized allocations ensure that all materials necessary for production are available in the appropriate time-phased allocation before beginning production to minimize wasted production capacity and materials. The supply system may include various combination of components, including a Supply Planner, a Resource Optimizer, a Constraint Based Master Planner, a Product Change Analyzer, a Comparer, a Resource Requirements Planner, a Finite Resource Planner, a Customer Promiser, and an Interactive Master Scheduler. Another embodiment of the supply system includes a tool that allows users to define products using engineering specifications.

A decision support system for supply chain management is disclosed. In one embodiment, an organizational structure of an enterprise value chain is mock-constructed as a framework model and solutions are logically distributed through the organization in accordance with the model. Product management, demand management and inventory management are performed on an exception basis and these processes are implemented incrementally and organizationally such that enterprise activities may be tracked and monitored, by exception, at multiple levels of granularity. In a general aspect, the invention enables collaborative ordering, forecasting, inventory and replenishment management by implementing such systems through an enterprise organizational model.

A system that enables a fleet of vehicles to be maintained is provided. The disclosed system allows a fleet operator to review the history of the vehicles in the fleet along with vehicle sensor data to identify earmarks in the vehicle sensor data that are predictive of faults that the vehicles have experienced. The operator develops statistical algorithms that can detect an earmark in vehicle sensor data. The system then collects vehicle sensor data and applies the statistical algorithms the vehicle data to determine if a potential fault is going to occur in a vehicle. In response to determining that a potential fault is going to occur, the disclosed system automatically alerts the vehicle driver, automatically schedule a maintenance visit, automatically check the fleet inventory for components required for a maintenance visit and order unavailable components, and automatically dispatch the components to the mechanic.

The subject innovation provides for systems and methods to optimize control systems for networked industrial sensors or devices and methods for self sensing, communicating with, monitoring of, controlling and optimizing utilization of networked industrial sensors and related control systems primarily in an industrial automation environment. The invention provides self-sensing and communication with sensors, and integration of control methods and strategies with decision support and logistics systems, to optimize specifically defined operational and performance objectives.

Disclosed are systems and methods for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process. In some cases, the operation of the process is simulated to generate model data indicative of a simulated representation of the operation of the process and based on the process measurements. A multivariate statistical analysis of the operation of the process is implemented based on the model data and the process measurements. The output data from the multivariate statistical analysis may then be evaluated during the operation of the process to enable the on-line monitoring of the process involving, for instance, fault detection via classification analysis of the output data.

A method of authenticating the printing of a three-dimensional (3D) article at a 3D printer according to a 3D print file describing a three-dimensional design is described. The method comprises: receiving an authentication request from a 3D print server that is associated with the 3D printer, the request comprising a unique design identifier associated with a 3D design file and a unique 3D printer identifier associated with a 3D printer, the received unique 3D design identifier being related to the received 3D printer ter identifier in accordance with a first relationship; using at least one of the received unique identifiers to access a verifying 3D design identifier and a verifying 3D printer identifier, the verifying identifiers being related to each other in accordance with a second relationship; comparing the first and second relationships between the received and verifying identifiers; generating an authentication signal if the first relationship corresponds with the second relationship; obtaining a decryption key associated with the received identifiers in response to the authentication signal; and transferring the decryption key to the 3D print server to authenticate and enable the printing of the 3D article on the 3D printer.

An automated system for the production of a personalized custom-fit garment comprises a scanner for obtaining a three-dimensional model of a customer's body shape; a computer having non-transitory computer algorithms for scaling a digital design to the customer's body shape, customizing the digital pattern with the customer's fit and style preferences, and visualizing the drape and fit of the garment; a database comprising a set of digital design patterns; and an automated garment manufacturing system networked to a central controller. A method for creating a personalized custom-fit garment comprises obtaining three-dimensional body measurements of a customer, having the customer select and customize a particular garment design, and manufacturing the personalized garment using an automated manufacturing process. The system and method can be used to prepare any kind of garments without substantive manual intervention or touch labor.

A method is provided for producing three-dimensional (3D) models. The invention will take any sculpture, character, or model from artwork, still life models, images of human beings, characters from a computer game, or any other 3D digital image or model that is scanned, and turn the digital image into 3D models. The method is comprised of the following steps: creating a user account in a computer storage area; storing 3D images under the user account; allowing the user to select the 3D image(s) he or she wants to create as 3D models; manufacturing the 3D models; and delivering the models to the user or to a specified third-party. An online storefront and/or auction system may allow each user the opportunity to sell their 3D models or purchase other users' 3D models. The system may also create 3D models for a mobile phone and portable media player while transferring the models to either of these devices.

Methods and systems for developing and manufacturing componentized drug product precursor modules that can be simply assembled to create customized drug products are disclosed. Each module contains components of a final drug product (e.g., active pharmaceutical ingredients, nutritional ingredients, and/or excipients) in a fixed mixture selected to maximize desired pharmaceutical characteristics (e.g., stability, manufacturing efficiency) and minimize cost. The modules can be extensively tested for quality and assembled immediately, or at a later time, in multiple combinations to customize the final drug product characteristics (e.g., multiple active ingredients, doses, flavor, viscosity, etc.) to meet individual patient/consumer needs and/or preferences while assuring high quality. Permitted combinations may be maintained in a database to enable networked drug product selection, prescribing, and ordering. Each resulting customized drug product dose can be labeled to facilitate compliance and reduce the number of drug products administered per day.

A design system is accessible to a designer and a plurality of manufacturers. The design system comprises a first user interface configured to receive design information for a component from the designer. The design system further comprises a second user interface configured to receive manufacturing information from the plurality of manufacturers. The manufacturing information comprises at least process cost information. The design system further comprises a database comprising the manufacturing information associated with each of the plurality of manufacturers. The design system further comprises a cost estimation module. The cost estimation module is configured to generate a cost estimate for producing the component for each of the plurality of manufacturers. The cost estimate is at least partially based on the process cost information. The cost estimation module is further configured to output the cost estimate for one or more of the plurality of manufacturers to the first user interface.

The invention discloses a workshop production management method and system based on Internet of Things. The management method includes the steps of establishment of an enterprise production and operation management system, on-site acquisition, real time monitoring, productive task tracking, product quality analyzing and production order feeding back. The workshop production management system based on Internet of Things comprises a terminal management server, a receiving computer, a mobile phone with bluetooth or wireless fidelity (WiFi), a ZigBee coordinator, a ZigBee router, a station controller, a radio frequency identification (RFID) reader-writer, an electronic tag and a process displayer. According to the workshop production management method and system based on Internet of Things, workshop site is connected with an upper decision system by the aid of the RFID reader-writer and electronic tag manufacturing execution system (MES), integration and sharing of various data information of workshops can be achieved, thereby, the 'fault' phenomenon caused by incomplete sharing and exchange of enterprise data information in enterprises can be avoided, the management process is simplified, and the management efficiency is increased.

A method of automating validation in a manufacturing facility is disclosed. The method comprises defining requirements, selecting and integrating automated devices for manufacturing. A hub-box with communication links is used to integrate the automated devices. The hub-box controls and facilitates communication between automated devices. The hub-box further collects and analyzes processing data for validation of the process. By interconnecting the automated devices to a hub-box, processing data may be collected substantially real-time and accessed remotely, facilitating continuous process validation.

Systems and methods for health data management are disclosed. In one embodiment, a method of monitoring health information for a multi-platform system includes receiving health information from one or more subsystems of a plurality of platforms, and analyzing the health information using one or more reasoner algorithms configured to predict a potential failure of the one or more subsystems. Upon prediction of a potential failure, the method includes providing a prognostic characteristic of the one or more subsystems. In alternate embodiments, the method may further include translating at least some of the health information for each of the one or more subsystems into a common format, and storing the translated health information into a database for subsequent analysis.

Method and system for providing volume manufacturing of customizable items including receiving a data package including a plurality of manufacturing parameters, each of the plurality of manufacturing parameters associated with a unique item, verifying the received data package, and implementing a manufacturing process associated with the received data package is provided.

The invention provides an intelligent management system of a flexible production enterprise. The system comprises a product tracing inquiry module, an order management and production planning module, an equipment monitoring module, a material management module, an energy monitoring module, a human resource management module, a financial management module and an information exchange platform, wherein the product tracing inquiry module is used as a basis and the order management and production planning module is a core to intelligently realize automatic generation of a production plan, whole-course on-line tracing recording of a processing process, monitoring of equipment and hydroelectric energy and plan management of human, material and money. By using the intelligent management system of the flexible production enterprise, the flexible production enterprise can perform true product quality tracing, master the use conditions of the equipment and the hydroelectric energy in real time and fully utilize the capacities of the equipment, the human, the energy and the like of the enterprise, so that the production cost of the enterprise is reduced.