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Digital Thread
Digital thread, also known as digital chain, is defined as “the use of digital tools and representations for design, evaluation, and life cycle management.”. It is a data-driven architecture that links data gathered during a Product lifecycle from all involved and distributed manufacturing systems. This data can come from any part of product's lifecycle, its transportation, or its supply chain. Digital thread "enables the collection, transmission, and sharing of data and information between systems across the product lifecycle" to enable real-time decision making, gather data, and iterate on the product. The term 'digital thread' was first used in the Global Horizons 2013 report by the USAF Global Science and Technology Vision Task Force. Digital thread was further refined in 2018 by Singh and Willcox at MIT in their paper entitled "Engineering with a Digital Thread". In this academic paper the term digital thread is defined as "a data-driven architecture that links together ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Product Lifecycle
In industry, Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from its inception through the engineering, design and manufacture, as well as the service and disposal of manufactured products. PLM integrates people, data, processes and business systems and provides a product information backbone for companies and their extended enterprises. History The inspiration for the burgeoning business process now known as PLM came from American Motors Corporation (AMC). The automaker was looking for a way to speed up its product development process to compete better against its larger competitors in 1985, according to François Castaing, Vice President for Product Engineering and Development. Lacking the "massive budgets of General Motors, Ford, and foreign competitors … AMC placed R&D emphasis on bolstering the product lifecycle of its prime products (particularly Jeeps)." After introducing its compact Jeep Cherokee (XJ), the vehicle th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Supply Chain
In commerce, a supply chain is a network of facilities that procure raw materials, transform them into intermediate goods and then final products to customers through a distribution system. It refers to the network of organizations, people, activities, information, and resources involved in delivering a product or service to a consumer. Supply chain activities involve the transformation of natural resources, raw materials, and components into a finished product and delivering the same to the end customer. In sophisticated supply chain systems, used products may re-enter the supply chain at any point where residual value is recyclable. Supply chains link value chains. Suppliers in a supply chain are often ranked by "tier", with first-tier suppliers supplying directly to the client, second-tier suppliers supplying to the first tier, and so on. Overview A typical supply chain begins with the ecological, biological, and political regulation of natural resources, followed by the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Homeland Security Digital Library
The Center for Homeland Defense and Security at the Naval Postgraduate School (NPS) in Monterey, California is a school focusing on homeland security education. The Center's programs and resources have been developed to advance the study of homeland security research, scholarship, and professional discipline to enhance U.S. national security and safety. The Center offers a Master of Arts degree in Security Studies (Homeland Security and Defense), an Executive Leaders Program, Executive Education Seminars, the University and Agency Partnership Initiative, and self-study courses. Resources include the Homeland Security Digital Library and ''Homeland Security Affairs,'' an on open-source academic journal. History The events of September 11th, 2001 revealed that new homeland security issues and threats were facing the United States. There was a need for educational programs for homeland security professionals who could prevent, plan for, respond to, and lead recovery efforts from ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Idaho National Laboratory
Idaho National Laboratory (INL) is one of the national laboratories of the United States Department of Energy and is managed by the Battelle Energy Alliance. While the laboratory does other research, historically it has been involved with nuclear research. Much of current knowledge about how nuclear reactors behave and misbehave was discovered at what is now Idaho National Laboratory. John Grossenbacher, former INL director, said, "The history of nuclear energy for peaceful application has principally been written in Idaho". Various organizations have built more than 50 reactors at what is commonly called "the Site", including the ones that gave the world its first usable amount of electricity from nuclear power and the power plant for the world's first nuclear submarine. Although many are now decommissioned, these facilities are the largest concentration of reactors in the world. It is on a complex in the high desert of eastern Idaho, between Arco to the west and Idaho Fal ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Model-based Systems Engineering
Model-based systems engineering (MBSE), according to the International Council on Systems Engineering (INCOSE), is the ''formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.'' MBSE is a technical approach to systems engineering that focuses on creating and exploiting domain models (aka Chocolate Factory Diagrams) as the primary means of information exchange, rather than on document-based information exchange. MBSE technical approaches are commonly applied to a wide range of industries with complex systems, such as aerospace, defense, rail, automotive, manufacturing, etc. History The first known prominent public usage of the term "Model-Based Systems Engineering" is a book by A. Wayne Wymore with the same name. The MBSE term was also commonly used among the SysML Partners consortium during the formative years ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Advanced Engineering Informatics
''Advanced Engineering Informatics'' is a peer-reviewed scientific journal published by Elsevier covering research on all aspects of advanced computing methods for engineering. The editors-in-chief are Chun-Hsien Chen (Nanyang Technological University) and Timo Hartmann (Technical University of Berlin). The journal was established in 1986 as the ''Artificial Intelligence in Engineering'', with Kenneth J. MacCallum (Marine Technology Centre, Glasgow, UK) and Ram D. Sriram (MIT) as founding editors-in-chief. In 2002, the aims and scope of the journal were expanded, and the journal obtained its current name. Abstracting and indexing The journal is abstracted and indexed in: According to the ''Journal Citation Reports'', the journal has a 2023 impact factor The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a g ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for Business reporting, reporting and data analysis and is considered a core component of business intelligence. DWs are central Repository (version control), repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the DW for reporting. Extract, transform, load (ETL) and extract, load, transform (ELT) are the two main approaches used to build a data warehouse system. ETL-based data warehousing The typical extract, transform, load (ETL)-based data warehouse uses ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Time Series
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. A time series is very frequently plotted via a run chart (which is a temporal line chart). Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements. Time series ''analysis'' comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series ''forecasting' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Internet Of Things
The Internet of things (IoT) describes physical objects (or groups of such objects) with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Internet of things has been considered a misnomer because devices do not need to be connected to the public internet, they only need to be connected to a network and be individually addressable. The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, as well as machine learning.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring Aerospace Science and Technology, 2022. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including Home automation, home and building automation), indepen ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Big Data Analytics
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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