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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Glossary
- AI
-
Artificial Intelligence
- CAD
-
Computer-Aided Design
- cDSP
-
Compromise Decision Support Problem
- Cloud Computing
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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)
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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
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A tactical deployment, and managerial model for healthcare inspired by the Industry 4.0
- High-Level Decision Making
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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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Milisavljevic-Syed, J., Allen, J.K., Commuri, S., Mistree, F. (2020). Closure. In: Architecting Networked Engineered Systems . Springer, Cham. https://doi.org/10.1007/978-3-030-38610-8_7
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DOI: https://doi.org/10.1007/978-3-030-38610-8_7
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