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2020 | OriginalPaper | Buchkapitel

7. Closure

verfasst von : Jelena Milisavljevic-Syed, Janet K. Allen, Sesh Commuri, Farrokh Mistree

Erschienen in: Architecting Networked Engineered Systems

Verlag: Springer International Publishing

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Abstract

In this monograph we address the challenges in architecting networked engineered systems that are anchored in the Industry 4.0 construct. Global markets, rapidly evolving technologies, and changing customer preferences have all given rise to distributed manufacturing connected by internet technologies. While digitization helps in connecting erstwhile distributed systems and enables the use of digital models of physical processes in design and analysis, it does not automatically translate into the design of “smart” systems.

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Glossar
AI
Artificial Intelligence
CAD
Computer-Aided Design
cDSP
Compromise Decision Support Problem
Cloud Computing
Cloud computing—virtualization of software and hardware resources allowing for networked resources to be accessed as a service in a ubiquitous way and on the basis of pay-as-you-go pricing Schaefer (2017)
Cloud-based Design and Manufacturing (CBDM)
A cyber-physical integration and control of manufacturing machines with CAD, CAE, ERP, and MES systems across one enterprise as a vertical integration. CBDM is a precursor for extending IoT and IoS Schaefer (2017)
Computational Complexity
Mathematical model of high complexity that requires extensive computational resources to instantiate
CRM
Customer Relations Management
DFDM
Design for Dynamic Management
Digital Platform
Provides decision support for engineers/designers, collaboration between different users from different domains and trains them how to understand the impacts of design decisions in order to speed up the design process and facilitate the creation of quality cost-effective designs
Digital Thread
Refers to the communication framework that allows a connected data flow and integrated view of the asset’s data throughout its lifecycle across traditionally siloed functional perspectives
Digital Twin
Refers to computerized companions of physical assets that can be used for various purposes. Digital twins use data from sensors installed on physical objects to represent their near real-time status, working condition or position
DOM
Dynamic Operability Model
ERP
Enterprise Resource Planning
FDIA
Fault Detection, Identification, and Accommodation
Low-Level Controls
Refer to control of machines and processes based on desired output and actual output. Low-Level Controls are characterized by real-time operation and take corrective actions based on real-time measurements (data). In contrast, High-Level Controls act on information and abstractions of data and deal with system level functionality as opposed to actual outputs
Health 4.0
A tactical deployment, and managerial model for healthcare inspired by the Industry 4.0
High-Level Decision Making
Enterprise level decision making
Industry 4.0
Industry 4.0 is the subset of the fourth industrial revolution that concerns industry. Industry 4.0 describes the trend towards automation and data exchange in manufacturing technologies and processes that include cyber-physical systems (CPS), the internet of things (IoT), industrial internet of things (IIOT), cloud computing, cognitive computing and artificial intelligence (Wikipedia)
Inspection Stations
Inspection Machines
Inspection System
Control System
IoP
Internet of People
IoS
Internet of Services
IoT
Internet of Things
MMP
Multistage Manufacturing Process
NES
Networked Engineered Systems
RIS
Reconfiguration of the Inspection System
RMS
Reconfigurable Manufacturing System
RMT
Reconfiguration of Machine Tools
SF
Smart Factory
Smart Manufacturing
Digitized Manufacturing
SoV
Stream of Variation model
SSOM
Steady-State Operability Model.
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Metadaten
Titel
Closure
verfasst von
Jelena Milisavljevic-Syed
Janet K. Allen
Sesh Commuri
Farrokh Mistree
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-38610-8_7

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