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Introduction to Smart Manufacturing
Published in Susmita Bandyopadhyay, Production and Operations Analysis, 2019
According to NIST, cloud computing is “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that be rapidly provisioned and released with minimal management effort or service provider interaction.” Cloud computing serves to be an important part of the infrastructure for smart manufacturing. However, before proceeding into further discussion on cloud computing, the definition of cloud must be clear. A cloud is basically a large number of computing resources such as computers and computing machines or remote servers, information systems, and software that are all interconnected through a network such as Wide Area Network (WAN) or Internet. The purpose is to store and manage large and/or complex data in cloud and thus to increase the speed of execution and storage. Cloud computing incorporates the concepts and application of virtualization, open source software application, Internet delivery of services, and on-demand deployment. Popular examples of cloud include Google drive, OneDrive, Dropbox, and so on.
Cyber Defence and Countermeasures
Published in Stanislav Abaimov, Maurizio Martellini, Cyber Arms, 2020
Stanislav Abaimov, Maurizio Martellini
At the present state of evolution, an abstract term “information” is merging with Information Systems, which is a socio-technical system, responsible for delivering the information and communication services required by an organization in order to achieve business objectives. An Information System encompasses four components: information (data), people, business processes (procedures), and ICT, which includes hardware, software, and networks.35
Aircraft Information Systems
Published in Mike Tooley, Aircraft Digital Electronic and Computer Systems, 2023
An information system can be defined as a computer system with software applications that collect, store and process data to provide information and knowledge. Airlines and other businesses rely on information systems to manage their operations, interact with customers and suppliers, and compete in the marketplace. Although this definition refers to a computerised system, it is important to remember that people are also part of any information system.
Planning methods and decision support systems in vehicle routing problems for timber transportation: a review
Published in International Journal of Forest Engineering, 2023
Jean-François Audy, Mikael Rönnqvist, Sophie D’Amours, Ala-Eddine Yahiaoui
Depending on the scope and complexity of DSSs, the requirement for information system support can be different. The information system includes the system for data collection, entering, transmission, storing, and management. This is typically handled by the company-wide database with network support, which can be less complicated for individual vehicle routing and scheduling DSSs, but more complex for supply chain and collaboration DSSs. Another fundamental information challenge for solving TTVRPs is access to the road network information, distances, fuel consumption, GHG emissions, and traveling times, which are essential for transportation invoices and planning as well as support the fight against global warming. This requires road network information to be connected with company-specific geospatial road databases, or where technologies and accessibilities are available, a general online service, such as Google Maps web service can be used. Because routes obtained are often based on the shortest distance or fastest route (e.g., shortest time), the obtained routes may not be the drivers’ preferred routes. Many other factors must be considered when choosing a route, such as road classifications, quality, ownership, and toll fees. A comparison of over 1000 routes by Swedish carriers shows that, on average, the computed distances are approximately 7.4% shorter than the preferred and driven routes (Flisberg et al. 2012b). This raise concerns as well as requirements for DSSs to incorporate a practical planning approach.
Information Systems and Operations/Supply Chain Management: A Systematic Literature Review
Published in Journal of Computer Information Systems, 2023
Jean A. Pratt, Liqiang Chen, Hans F. Kishel, Abraham Y. Nahm
An information system is “an integrated set of components for collecting, storing, and processing data and for providing information, knowledge, and digital products.”1 Technology, people, and processes comprise information systems, which are ubiquitous across industries. Therefore, great diversity exists in research areas and perspectives. Information Systems (IS) is an independent discipline as demonstrated by within-field and external references to IS research;2–4 established and well-respected IS journals and conferences; and scholarly societies – the most notable of which is the Association for Information Systems (AIS).