Creation of a Learning Factory for Cyber Physical Production Systems

Gräßler, Iris; Pöhler, Alexander; Pottebaum, Jens

doi:10.1016/j.procir.2016.05.063

Cited by 42 publications

(6 citation statements)

References 8 publications

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“…The application of CPPS in manufacturing shop floors, together with machine learning applications provides intelligent production units [29]. Accordingly, in the present platform, the focus of CPPS is on the utilization of an efficient and customer-oriented order processing system, by employing practical hardware and software-based approach [30]. The present research is carried out at the Digital Learning Factory of the Institute of Mechatronic Systems (IMS) at Zurich University of Applied Science (ZHAW), which is deployed as a research platform for CPPS.…”

Section: Methodsmentioning

confidence: 99%

Development of Machine Vision System for Pen Parts Identification under Various Illumination Conditions in an Industry 4.0 Environment

Bagheri¹,

Venn²,

Mosaddegh³

2020

Preprint

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The fourth Industrial Revolution, well-known as "Industry 4.0", based on the integration of information and communication technologies, has introduced significant improvements in manufacturing. However, vision systems still experience various impracticalities in dealing with the effect of complex lighting on the systems platform. Therefore, a machine vision system for automatic identification of pen parts under varying lighting conditions at a digital learning factory is proposed. The developed vision system presented a straightforward approach by effectively minimizing the environmental lighting effect on the identification process. First, the obtained information of the designed vision framework is exported to a program, where a reduction of non-uniform illumination is achieved through the implementation of Retinex image enhancement techniques. Then, the color-based Fuzzy C-means (FCM) algorithm, including improved mark watershed segmentation, is employed for pen parts object classification. Finally, the position features of the selected pen part are reported. The process applied to a total number of 210 upper pen parts (caps) and 241 lower pen parts (tubes) images under different lighting scenarios. Results indicate that average parts identification precision for cap and tube parts is different and equals to 98.64% and 95.26%, respectively. The present methodology provides a promising scheme that can be feasibly adapted for other industrial Color-based object recognition applications.

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Section: Methodsmentioning

confidence: 99%

Development of Machine Vision System for Pen Parts Identification under Various Illumination Conditions in an Industry 4.0 Environment

Bagheri¹,

Venn²,

Mosaddegh³

2020

Preprint

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“…The vision of Industry 5.0 comprises of two prospective scenarios, commonly known as the automation and the tooling scenarios, which are characterized by a different degree of self-X abilities of the CPPS [31]. On the one hand, the 'automation' scenario proposes an extensive automation of…”

Section: The Role Of Ethics In Industry 50mentioning

confidence: 99%

“…In Industry 5.0, instead, researchers are compelled to design CPPS using a 'human-centered' rather than a 'techno-centered' approach [26], with a focus on social and ethical considerations [5]. The vision of Industry 5.0 comprises of two prospective scenarios, commonly known as the automation and the tooling scenarios, which are characterized by a different degree of self-X abilities of the CPPS [31]. On the one hand, the 'automation' scenario proposes an extensive automation of work processes and tasks, including planning of production process that might eventually lead to a devaluation of simple working tasks and to maintenance and supervision efforts performed only by highly qualified personnel [32].…”

Section: The Role Of Ethics In Industry 50mentioning

confidence: 99%

Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future

2020

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Although manufacturing companies are currently situated at a transition point in what has been called Industry 4.0, a new revolutionary wave—Industry 5.0—is emerging as an ‘Age of Augmentation’ when the human and machine reconcile and work in perfect symbiosis with one another. Recent years have indeed assisted in drawing attention to the human-centric design of Cyber-Physical Production Systems (CPPS) and to the genesis of the ‘Operator 4.0’, two novel concepts that raise significant ethical questions regarding the impact of technology on workers and society at large. This paper argues that a value-oriented and ethical technology engineering in Industry 5.0 is an urgent and sensitive topic as demonstrated by a survey administered to industry leaders from different companies. The Value Sensitive Design (VSD) approach is proposed as a principled framework to illustrate how technologies enabling human–machine symbiosis in the Factory of the Future can be designed to embody elicited human values and to illustrate actionable steps that engineers and designers can take in their design projects. Use cases based on real solutions and prototypes discuss how a design-for-values approach aids in the investigation and mitigation of ethical issues emerging from the implementation of technological solutions and, hence, support the migration to a symbiotic Factory of the Future.

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“…[106], and [107] agrees with the idea of the sustainability implications (for an organization) from the implementation of the Industry 4.0 concept. For example, a smart manufacturing system, an associated technology to Industry 4.0, is defined as a CPS coupled with (1) a decentralized, self-contained execution and decision-making structure, [108], and (2) a "self-conscious" environment [99]. The use of this technology makes it feasible to achieve the high levels of efficiency needed for a sustainable environment [109][110][111].…”

Section: Sustainability and Industry 40mentioning

confidence: 99%

Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts

Martínez-Olvera

2022

Automation

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Digital Twins (DTs) are one of the disruptive technologies associated with the Industry 4.0 concept. A DT connects the physical manufacturing system with the digital cyberspace, via the synchronization of the simulation (i.e., physical configurations) and data models (i.e., product, process, and resource models) of the manufacturing system. This synchronization of both worlds—the physical and digital—allows one to address the issue of manufacturing customized products. This challenge of mass customization (1) puts forward the goal of achieving the highest level of customer satisfaction, and (2) creates the need for the optimization of the complete value creation process. Within an Industry 4.0 context, the latter is translated as the interlinking of production resources and systems, via a DT, as it is in the physical world where the actual value-creation process takes place. The success of an Industry 4.0 mass customization environment (or mass customization 4.0), depends on its degree/level of sustainability. For these reasons, the present paper presents a review of relevant concepts related to the role of DTs in the achievement of a mass customization 4.0 environment, plus some proposals of how to address the identified research challenges. A future research agenda is proposed at the end of the paper.

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Creation of a Learning Factory for Cyber Physical Production Systems

Cited by 42 publications

References 8 publications

Development of Machine Vision System for Pen Parts Identification under Various Illumination Conditions in an Industry 4.0 Environment

Development of Machine Vision System for Pen Parts Identification under Various Illumination Conditions in an Industry 4.0 Environment

Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future

Towards the Development of a Digital Twin for a Sustainable Mass Customization 4.0 Environment: A Literature Review of Relevant Concepts

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