scholarly journals Model-based Development of Modular Complex Systems for Accomplishing System Integration for Industry 4.0

2017 ◽  
Author(s):  
Kunal Suri ◽  
Arnaud Cuccuru ◽  
Juan Cadavid ◽  
Sebastien Gerard ◽  
Walid Gaaloul ◽  
...  
Keyword(s):  
Complex Systems ◽  
System Integration ◽  
Industry 4.0 ◽  
Model Based

scholarly journals MODEL-BASED DESIGN FOR SYSTEM INTEGRATION

2011 ◽  
Author(s):  
Pieter J. Mostermanm ◽  
Jason Ghidella ◽  
Jon Friedman
Keyword(s):  
Complex Systems ◽  
Programming Languages ◽  
System Integration ◽  
Feature Integration ◽  
Shared Resources ◽  
Model Based ◽  
Level Of Abstraction ◽  
Design Perspective ◽  
High Level ◽  
System Partitioning

System partitioning is essential to the design of complex systems such as automobiles. Complexity can be because of compounded phenomena or because of intricate behavior. This paper focuses on the compounding effect of integrating the different subsystems that result from the partitioning. In particular, it concentrates on subsystems, or features, that have an embedded computation part to them. Three types of feature integration are classified: (i) shared resources, (ii) communicating features, and (iii) interacting control. The integration is addressed from a Model-Based Design perspective. It is discussed how this allows managing the complexity of integrating computations because it is operative at a higher level of abstraction than even high-level programming languages.

scholarly journals Architecture at the edge of chaos: a model for uncertainty in architecture

2021 ◽  
Author(s):  
Calvin Fung
Keyword(s):  
Complex Systems ◽  
Conceptual Model ◽  
Granular Matter ◽  
Human Agency ◽  
Dynamic Feedback ◽  
Edge Of Chaos ◽  
Model Based ◽  
Ecological Changes ◽  
Unique Approach

The changing needs of society informed by rapid technological, social and ecological changes have disturbed the foundation of permanence on which much of architecture was built. Traditional Western architecture is too solid, hard, and slow—presenting difficulties for it to adequately adapt to change and uncertainty. A reconceptualization of architecture is necessary, one not focused on the certainty of solutions or forms, but one patterned by the dynamic feedback of human agency and environmental forces. For architecture to adapt, and to adapt to unpredictable circumstances, requires that architecture accept uncertainty in its formulation and materialization. Embracing systems-based thinking, a conceptual model based on the complex systems of granular matter provides a unique approach to architecture’s material and immaterial structures. Architecture will then be critically poised at the edge of chaos, ready to reorganize and evolve towards a new fluid paradigm.

Industry 4.0 From the Systems Engineering Perspective

2020 ◽  
pp. 575-599
Author(s):  
Vladimír Bureš
Keyword(s):  
Complex System ◽  
Physical Activity ◽  
Complex Systems ◽  
Frequency Analysis ◽  
Systems Engineering ◽  
Industry 4.0 ◽  
Control Level ◽  
Design Development ◽  
Starting Point ◽  
And Control

Systems engineering focuses on design, development, and implementation of complex systems. Not only does the Industry 4.0 concept consist of various technical components that need to be properly set and interconnected, but it is also tied to various managerial aspects. Thus, systems engineering approach can be used for its successful deployment. Overemphasis of technological aspects of Industry 4.0 represents the main starting point of this chapter. Then, collocation analysis, word clusters identification, selection and exemplification of selected domain in the business management realm, and frequency analysis are used in order to develop a holistic framework of Industry 4.0. This framework comprises six levels – physical, activity, outcome, content, triggers, and context. Moreover, the information and control level is integrated. The new holistic framework helps to consider Industry 4.0 from the complex systems engineering perspective – design and deployment of a complex system with required parameters and functionality.

Logistics 4.0 Energy Modelling

2021 ◽  
pp. 436-460
Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Pavitra Dhamija
Keyword(s):  
Industry 4.0 ◽  
Energy Demand ◽  
Business Processes ◽  
Industrial Revolution ◽  
Ghg Emissions ◽  
Energy Model ◽  
Logistics Network ◽  
Model Based ◽  
Research Propositions ◽  
Energy Optimisation

Logistics activities are significant energy consumers and known contributors to GHG emissions, hence optimisation of logistics energy demand is of critical importance. The onset of the fourth Industrial revolution delivers significant technological opportunities for logistics optimisation with additional benefits in logistics energy optimisation. This research propositions a business process centric logistics model based on Industry 4.0. A Logistics 4.0 architecture is developed comprising Industry 4.0 technologies and associated enablers. The Industry 4.0 architecture components are validated by conducting a Systematic Literature Review on Industry 4.0 and logistics. Applying the validated Logistics 4.0 architecture to a cyber physical logistics energy model, based on the digitalisation of business processes, a comprehensive simulation is developed identified as the Logistic 4.0 Energy Model. The model simulates the technological impact of Industry 4.0 on a logistics network. The model generates energy and CO2 emission values for “as-is” and “to-be” Industry 4.0 scenarios.

On Developing Hybrid Modeling Methods using Metamodeling Platforms

2015 ◽  
Vol 6 (1) ◽  
pp. 47-66
Author(s):  
Srdjan Zivkovic ◽  
Krzystof Miksa ◽  
Harald Kühn
Keyword(s):  
Complex Systems ◽  
Hybrid Modeling ◽  
Modeling Languages ◽  
Modeling Tools ◽  
Analysis And Design ◽  
Domain Specific ◽  
Modeling Methods ◽  
Model Based ◽  
Domain Specific Modeling ◽  
Specific Modeling

It has been acknowledged that model-based approaches and domain-specific modeling (DSM) languages, methods and tools are beneficial for the engineering of increasingly complex systems and software. Instead of general-purpose one-size-fits-all modeling languages, DSM methods facilitate model-based analysis and design of complex systems by providing modeling concepts tailored to the specific problem domain. Furthermore, hybrid DSM methods combine single DSM methods into integrated modeling methods, to allow for multi-perspective modeling. Metamodeling platforms provide flexible means for design and implementation of such hybrid modeling methods and appropriate domain-specific modeling tools. In this paper, we report on the conceptualization of a hybrid DSM method in the domain of network physical devices management, and its implementation based on the ADOxx metamodeling platform. The method introduces a hybrid modeling approach. A dedicated DSM language (DSML) is used to model the structure of physical devices and their configurations, whereas the formal language for knowledge representation OWL2 is used to specify configuration-related constraints. The outcome of the work is a hybrid, semantic technology-enabled DSM tool that allows for efficient and consistency-preserving model-based configuration of network equipment.

scholarly journals Graphical Deduction Model Based Production Instruction Service System for Smart Job Shops in Industry 4.0

Procedia CIRP ◽  
2019 ◽  
Vol 83 ◽  
pp. 739-742
Author(s):  
Chuang Wang ◽  
Xu’nan Chen ◽  
Junsheng Wu ◽  
Zhixiang Zhu
Keyword(s):  
Industry 4.0 ◽  
Service System ◽  
Job Shops ◽  
Model Based
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