9186results 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.

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.

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.

A system, method, and computer-readable medium for the collecting and storing of environmental data, and generating a user report of the environmental data, the user report providing document compliance with U.S. Food and Drug Administration requirements. The collected and stored environmental data includes a wide variety of manufacturing facility parameter data, including but is not limited to, the presence of viable microbiological organisms, the presence of particulates and other environmental conditions within the facility, such as humidity, pressure, temperature, water quality (e.g., pH, conductivity, total organic content (TOC), endotoxin, coliform, and metals), and the respective amounts of different materials involved in the manufacture of the end product(s).

The invention provides a CPS architecture oriented to intelligent cotton spinning production. The CPS architecture includes a sensing entity layer, a connection communication layer, a knowledge fusion layer, and a decision control layer. The sensing entity layer senses each entity of a physical world. The connection communication layer transmits the data of all entities in the physical world to an information world. The knowledge fusion layer fuses all resources required by a cotton spinning production cycle and the big data of an environment, analyzes and establishes a digital twin model. The decision control layer, by mining reliable data, forms knowledge based on cotton production, determines a variety of control decision, and commands the various entities of the physical world to work together. The CPS architecture takes the data of the whole process of cotton spinning production as a main line, takes the intelligent sensing as a core, uses the network and massive calculation as a basis, deeply integrates the calculation, communication and control, and realizes the intelligentization of the cotton spinning production process, and provides theoretical support for aspects of high-efficiently configuring various resources, optimizing a production process and improving production efficiency.

A system to manage and analyze conditions of pipeline structures, program product, and associated methods are provided. The system can include a computer defining a pipeline management computer having a processor and memory coupled to the processor to store operating instructions therein to manage and analyze conditions of the pipeline structure. The pipeline management computer can also include a display in communication with the processor to display pipeline project and client entity data and a user interface coupled to the processor to provide the pipeline management user with access to manipulate pipeline project and client entity data. A pipeline management database is provided accessible to the processor of the pipeline management computer. The database can include database records associated with at least one pipeline project related to database records associated with a pipeline management client entity. The system can also include pipeline management program product stored in the memory of the pipeline management computer to manage and analyze pipeline projects.

A management system for improving operation of a plant. A server is coupled to the management system for communicating with the plant via a communication network. A computer system has a web-based platform for receiving and sending plant data related to the operation of the plant over the network. A display device interactively displays the plant data. An optimization unit is configured for optimizing at least a portion of a refining or petrochemical process of the plant by acquiring the plant data from the plant on a recurring basis, analyzing the plant data for completeness, correcting the plant data for an error. The optimization unit corrects the plant data for a measurement issue and an overall mass balance closure, and generates a set of reconciled plant data based on the corrected plant data.

Systems and methods for creating route for powered industrial vehicles are provided. In one embodiment, the system includes a route generation module configured to determine route data based on facility layout data and historical usage data. The system also includes a PIV equipped with various sensors and a user interface module configured to allow selective access to the operative components of the PIV.

Computerized scheduling methods and computerized scheduling systems according to exemplary embodiments. A computerized scheduling method may be stored in a memory and executed on one or more processors. The method may include defining a main multi-machine scheduling problem as a plurality of single machine scheduling problems; independently solving the plurality of single machine scheduling problems thereby calculating a plurality of near optimal single machine scheduling problem solutions; integrating the plurality of near optimal single machine scheduling problem solutions into a main multi-machine scheduling problem solution; and outputting the main multi-machine scheduling problem solution.

A method and apparatus for visually querying an aircraft. A model is identified for the aircraft. Sections of the aircraft are displayed in a graphical user interface on a display device. The sections correspond to sections as manufactured for assembly of the aircraft. The sections are selectable.

Systems, methods, and media for optimizing and facilitating 3D printing services in a marketplace environment are provided. In one example, a system comprises a memory and at least one module, executing on one or more computer processors, to host or participate in a 3D printing service marketplace environment including marketplace participants and a federated network of 3D printing service providers. The at least one module receives a 3D printing request from a marketplace participant to print a 3D object at a 3D printing service provider, and communicates with at least some of the federated network of 3D printer service providers within the marketplace environment. In response to the received request, the at least one module lists at least some of the 3D printing service providers based on a 3D printer identifier metric.

A system for searching for patterns of semiconductor wafer features for use in silicon manufacturing and device fabrication processes, the system including: a data acquisition system 00 for acquiring scan data from differing types of semiconductor wafer scanning tools such as wafer dimensional tools 10, wafer inspection tools 12, and wafer nanotopography tools 14; a buffer system 02 for providing temporary storage for scan data transmitted and for providing fault tolerance; a server system 04 for providing storage for the scan data transmitted from the buffer system 02 and converting the scan data into a format used by and stored in a database 08 management system; an analysis system 06 client station including a display and communicating with the server system 04, the analysis system 06 and the server system 04 providing scan data structuring and query operations and data transfer operations.

The invention provides an MES platform for mass customization of furniture, and the platform comprises an order planning management unit, a workshop management unit and an information integration unit, wherein the order planning management unit is used for following up the order status and processing process in the management system. The workshop management unit is used for carrying out the real-time monitoring of the various operational specifications and technical requirements of a workshop and corresponding interaction processing, and feeding back various processing results to a productionsite in various modes so as to improve the production scheduling speed of the component processing required by an order. The information integration unit is used for achieving the sharing of the orderdata and the component processing data required for the order between the units and the transmitting of data between the devices. The invention has the beneficial effects that the MES platform improves the production scheduling speed of the component processing by controlling the workshop, overcomes the difficulty of implementing the information management in the processing workshop, and improvesthe labor efficiency.

The invention relates to a production line design and optimization method based on digital twinning. The production line design and optimization method comprises the following steps: performing digital process design on a product, integrally planning a production line, constructing and integrating a digital twinning model of the production line, performing simulation verification on a virtual production line, constructing and implementing a physical production line, and performing virtual-real mapping and optimization on the production lines. According to the invention, the digital twinning model is constructed according to three levels of elements, behaviors and rules, and has production line evaluation, evolution and reasoning capabilities; a virtual production line model is established,virtual debugging and simulation operation of the virtual production line are achieved, the production line does not need to be constructed firstly, design risks are avoided, and debugging time is saved; and a virtual-real mapping relationship and an interaction mechanism between the virtual production line and the physical production line are established, statistical analysis is performed on theoperation data of the virtual production line, and optimization and management and control on the physical production line are realized.

A holographic laser scanners of ultra-compact and modular design capable of reading bar and other types of graphical indicia within a large scanning volume using holographic optical elements and visible laser diodes, and also a method of designing and operating the same for use in diverse applications.

The invention relates to a hybrid genetic simulated annealing algorithm for solving a job shop scheduling problem. The job shop scheduling problem is solved through the algorithm. The hybrid genetic simulated annealing algorithm aims to solve the problems that the genetic algorithm is poor in local searching capability but high in capability of overall search process grasping, the simulated annealing algorithm has high local searching capability but knows less of conditions of the entire searching space and is inconvenient for enabling the searching process to enter the most promising searching region and the like. The genetic algorithm and the simulated annealing algorithm are combined for adopting the long points while overcoming the weak points, and the hybrid GASA is proposed. According to the algorithm, genetic operations such as selection, crossing, variation and the like are performed on populations to generate new populations, then each individual in the new populations is subjected to the simulated annealing, results are taken as input of genetic operation in the next steep, and the whole operation process is subjected to repeated iteration till certain end condition is satisfied.

A method and apparatus is presented. The apparatus comprises a parts library, a database, and a parts management system. The parts library is configured to store a plurality of part definition files. The database is configured to store entries identifying a printing of parts using the plurality of part definition files. The parts management system is configured to receive a request for a part definition file in the parts library, identify the part definition file in the plurality of part definition files in the parts library, receive an indication of a printing of a part using the part definition file, and store an entry identifying the printing of the part using the part definition file in the database.

An apparatus and a method for controlling critical dimension (CD) of a circuit is provided. An apparatus includes a controller for receiving CD measurements at respective locations in a circuit pattern in an etched film on a first substrate and a single wafer chamber for forming a second film of the film material on a second substrate. The single wafer chamber is responsive to a signal from the controller to locally adjust a thickness of the second film based on the measured CD's. A method provides for etching a circuit pattern of a film on a first substrate, measuring CD's of the circuit pattern, adjusting a single wafer chamber to form a second film on a second semiconductor substrate based on the measured CD. The second film thickness is locally adjusted based on the measured CD's.

The invention discloses an Internet + industrial 4.0 intelligent manufacturing management method and a system. The Internet + industrial 4.0 intelligent manufacturing management method and the system are used to provide a comprehensive information resource service for system exploitation, testing and operation deployment. The method and system are characterized in that the Internet + industrial 4.0 intelligent manufacturing management method and the system comprise five layers of service frameworks, two safety systems and intelligent building management; the five layers of frameworks are a hardware platform layer, a software platform layer, a production manufacturing execution layer, a service operation management layer and a strategy management layer from bottom to top respectively; through the intelligent building management and a series of guarantee support auxiliary of the two systems of an operation maintenance and IT management system and safety guarantee, sensors which are located everywhere, an embedded terminal system, an intelligent control system and communication facilities form one intelligent network through a CPS. People and people, people and machine, machine and machine, and server and server can be interconnected so that transverse, vertical and end-to-end high integration is realized. A production network is constructed. Perfect fusion of virtual and real worlds is achieved and an industrial 4.0 mode of information physics fusion system construction and application is constructed.