Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry

Weyer, Stephan; Meyer, Torben; Ohmer, Moritz; Gorecky, Dominic; Zühlke, Detlef

doi:10.1016/j.ifacol.2016.12.168

Cited by 192 publications

(100 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Not surprisingly, the first industrial robot was created in General Motors in 1961. The automotive industry is one of the most competitive, advanced, and complex industrial sectors (Weyer, Meyer, Ohmer, Gorecky, & Zühlke, ). No other industry invests more into smart factories than automobile manufacturers (Bongardt, ).…”

Section: Methodsmentioning

confidence: 99%

Transformation towards smart factory system: Examining new job profiles and competencies

2019

View full text Add to dashboard Cite

This paper increases understanding of the concept of smart factories system and its implementation in the automotive industry in terms of addressing necessary changes in human aspect of system, namely, employees' competencies, as well as to new job profiles. A qualitative research approach was used by utilizing a case study of the automotive industry in Slovenia. For the purpose of data collection, we used a semistructured interview on a sample of experts from governmental, educational, and private automotive sectors. In order to analyse gathered data, we used the method of content analysis. Research results indicate that significant changes are essential in the transformation from traditional to a smart factory system, especially regarding organizational mindset, the architecture of system and its processes, and the inclusion of Industry 4.0 technologies at all levels. Also, results indicate changes are essential regarding future job profiles and competencies. Although there are different perceptions about future jobs and competencies needed for Industry 4.0‐induced changes, depending on the sector in which the expert is employed, there is an overall agreement that job profiles related to programming, mechatronics, robotics, data analysis, Internet of Things, design, and maintenance of smart systems, process analysis, and bionics are the new job profiles needed in smart factory systems. In addition to the high emphasis on technical skill and knowledge, soft competencies are considered important, as well as competencies of continues learning, flexibility, creativity, problem solving, critical, and analytical thinking. Our findings possess important implications for conceptualizing job profiles and competencies in smart factories systems and practical implications for managers concerned with human resource management activities. We provide an outlook to the future job profiles that are underresearched, especially in the field of smart manufacturing. As well, our paper provides insight into the importance of different competencies recognized as crucial for complete functioning and optimal performance of smart factories system. This study provides a starting point for further research regarding human resource management issues in smart factories in the automotive sector, especially related to future job profiles and employee competencies, and their role in system performance.

show abstract

Section: Methodsmentioning

confidence: 99%

Transformation towards smart factory system: Examining new job profiles and competencies

2019

View full text Add to dashboard Cite

show abstract

“…This way, physical and virtual dimensions coexist and are synchronized in real-time [19]. However, synchronization requires full data models of alternative scenarios to be simulated [32][33][34]. This issue led to the concept of Digital Twin (DT), or a virtual representation of physical objects coping their behaviour through a real-time data acquisition from the field [16,35].…”

Section: Simulationmentioning

confidence: 99%

Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case

et al. 2020

View full text Add to dashboard Cite

The increasing awareness of customers toward climate change effects, the high demand instability affecting several industrial sectors, and the fast automation and digitalization of production systems are forcing companies to re-think their business strategies and models in view of both the Circular Economy (CE) and Industry 4.0 (I4.0) paradigms. Some studies have already assessed the relations between CE and I4.0, their benefits, and barriers. However, a practical demonstration of their potential impact in real contexts is still lacking. The aim of this paper is to present a laboratory application case showing how I4.0-based technologies can support CE practices by virtually testing a waste from electrical and electronic equipment (WEEE) disassembly plant configuration through a set of dedicated simulation tools. Our results highlight that service-oriented, event-driven processing and information models can support the integration of smart and digital solutions in current CE practices at the factory level.

show abstract

“…It builds the rule system for the automatic flow of data, realizes interconnection among enterprises, human, equipment, and service, maximizes the development, integration, and utilization of various information resources, knowledge, and intelligence, copes with the uncertainty in manufacturing system, and realizes efficient allocation of manufacturing resources. PCPS creates a more elaborate and dynamic manner for factory operation management …”

Section: Analysis Of the Pcps System Structurementioning

confidence: 99%

“…Through effective utilization of computation, communication, and control (3 C) technology, CPS can realize information processing, real‐time communication, and autonomous control in a highly integrated and interactive network environment . It focuses on the reasonable and effective allocation of system resources, as well as the optimization of system performance and efficiency, and provides personalized and humanized service for users …”

Section: Introductionmentioning

confidence: 99%

“…In the fields of electric power, automobile, medical treatment, transportation, and the like, some CPS‐related application research achievements have been developed . For example, some researchers have looked forward to the CPS theory framework of the electric power system; Some have put forward a health‐CPS medical system based on cloud computing and big data; some have paid attention to the real‐time management problem of railway CPS; some have depicted the application of CPS in future automobile production; and some have discussed the architecture of the air traffic system based on CPS, and so on.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

System Structure and Network Computing Architecture of Petrochemical Cyber‐Physical System: Overview and Perspective

Suo

Liu

2019

Can J Chem Eng

View full text Add to dashboard Cite

The cyber-physical system (CPS) has become the key infrastructure to support the development of smart manufacturing. On the basis of analyzing the CPS theory and industrial characteristics of the petrochemical industry, this paper defines the system structure of the CPS in petrochemical called petrochemical cyber-physical system (PCPS), and divides PCPS into three system structure levels, proceeding from the analysis on the overall development of the petrochemical industry and the production situation of Sinopec Group. On the basis of this system structure, the unit pattern structure, unit level structure, network architecture, computing architecture, and working model of PCPS are studied and analyzed. Finally, this paper introduces the application scenario of PCPS in the construction of a Sinopec smart factory.

show abstract

Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry

Cited by 192 publications

References 7 publications

Transformation towards smart factory system: Examining new job profiles and competencies

Transformation towards smart factory system: Examining new job profiles and competencies

Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case

System Structure and Network Computing Architecture of Petrochemical Cyber‐Physical System: Overview and Perspective

Contact Info

Product

Resources

About