Industry 4.0 and the New Simulation Modelling Paradigm
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Summary
While the examined cases indicate the acceptance of the new simulation modelling paradigm in the industrial and scientific communities, its adoption in academic environment requires close cooperation with industry partners and diversification of knowledge of researchers in order to build integrated, multi-level models of cyber-physical systems.
- Type
- article
- Published
- 2017-08-01
- Cited by
- 248
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2746518050
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:64547223
Keywords
Paradigm shift, Computer science, Diversification (marketing strategy), Process (computing), Embodied cognition
References
- Mobile Agents and XML for Distributed Simulation Support
- Case Study Research in Education : A Qualitative Approach
- Automated Petri net modeling of military operations
- Simulation Approach to Decision Assessment in Enterprises
- A brief history of simulation
- A knowledge-based approach to automated simulation model adaptation
- Real World Research: A Resource for Social Scientists and Practitioner-Researchers
- Awareness and Attitude Towards Green IS in Slovenian Enterprises
- Automation of input data to discrete event simulation for manufacturing: A review
- About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
- Business Model Innovation: Insights from a Multiple Case Study of Slovenian SMEs
- Standards based generation of a virtual factory model
- Innovations in digital modelling for next generation manufacturing system design
- The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0☆
- Case Study Research and Applications: Design and Methods
- Simulation software component architecture for simulation-based enterprise applications
- Automated production system simulations using commercial off-the-shelf simulation tools
- Multiple Case Studies - not just more data points?
- The fourth industrial revolution
- Real World Research: A Resource for Social Scientists and Practitioner-Researchers
Cited by
- Communication mechanism of the discrete event simulation and the mechanical project softwares for manufacturing systems
- Productivity, Portability, Performance: Data-Centric Python
- Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection
- An application framework of digital twin and its case study
- Recent and prospective developments in power system control centers: Adapting the digital twin technology for application in power system control centers
- Industry 4.0 in Management Studies: A Systematic Literature Review
- Evaluation of provincial integration degree of "internet + industry" based on matrix grey relational analysis
- Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems
- Barriers to Digital Transformation in Manufacturing: Development of a Research Agenda
- The Impact of VR Application on Student’s Competency Development: A Comparative Study of Regular and VR Engineering Classes with Similar Competency Scopes
- Industry 4.0, Digitisation in Manufacturing, and Simulation: A Review of the Literature
- A Survey on Automatic Model Generation for Material Flow Simulation in Discrete Manufacturing
- Automated in situ consolidation process for pre-impregnated carbon fibers: a cyber phisycal approach
- Performance of an automated process model discovery – the logistics process of a manufacturing company
- An integrative Model Based Systems Engineering (MBSE) and lean-based approach for development of new complex products
- Critical factors for the successful implementation of Industry 4.0: a review and future research direction
- Utilização da simulação dentro do contexto da indústria 4.0: proposta de um sistema cyber-físico visando a redução de desperdícios em um processo de abastecimento de materiais de uma indústria aeronáutica
- A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
- Object-oriented event-graph modeling formalism to simulate manufacturing systems in the Industry 4.0 era
- Ecosystems of Industry 4.0: Combining Technology and Human Power
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