Portable Rapid Visual Workflow Simulation Tool for Human Robot Coproduction

Dukalski, Radoslaw; Cencen, Argun; Aschenbrenner, Doris; Verlinden, Jouke

doi:10.1016/j.promfg.2017.07.223

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…For smarter production system, following methodology should be adopted in order to enhance the production of the pharmaceutical products within the manufacturing units: Figure 1, represents the methods under smart production system. Steenkamp de ines procedure of implementation as an approach, where hardware architecture should irst provide a strong base for software deployment (Dukalski et al, 2017). The Machinery aspect involves Internet of Things to a degree in which shop loor consists of smart and intelligent machinery along with machine communication capability thereby providing the intelligent facility.…”

Section: Requisite Of An Organization For Using Smarter Production Systemmentioning

confidence: 99%

“…Many Subsequent software implementation might begin, which in combination with cyber-physical produc-tion framework will involve a higher-resolution managerial framework forming basis of Industry 4.0. Therefore, at such stage the smarter system can be connected to smart service extent of performance and thus be turned into a smarter system of output (Dukalski et al, 2017).…”

Section: Requisite Of An Organization For Using Smarter Production Systemmentioning

confidence: 99%

See 1 more Smart Citation

Challenges and Research Opportunities faced in Pharma Industries: 4.0

Goshain¹,

Sharma²

2021

ijrps

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The use of new technology from Pharma Industry 4.0 promotes sustainable production of value, makes pharmaceutical industry more flexible, clever and customized and thereby helps pharmaceutical companies to achieve economic benefit in long term. The present review discusses about the implications caused in enhancing pharmaceutical production and also investigate that how industry 4.0 aids in increasing the production. The review also discusses about the challenges faced by pharma industries 4.0 and addresses research opportunities faced in pharma industries 4.0. From the review it was observed that, main barriers which come in the way of increasing the production are high cost, time consuming design and framework development, seniors unsupportiveness, lack of good training skills, inadequate business inducement, lack of co-operation and communications. Further it was observed that, smart production system has led to the development of the increased production, but still difficulties and impediment to smart production should be considered in order to achieve expertize in supply chain managerial and sustainable practices.

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Section: Requisite Of An Organization For Using Smarter Production Systemmentioning

confidence: 99%

Section: Requisite Of An Organization For Using Smarter Production Systemmentioning

confidence: 99%

Challenges and Research Opportunities faced in Pharma Industries: 4.0

Goshain¹,

Sharma²

2021

ijrps

View full text Add to dashboard Cite

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“…Within the context of this paper, the application of VR within Industry 4.0 scenarios is especially interesting, on which an overview can be found in [13]. This overview is limited to discrete event simulation, but there are also additional use cases for AR/VR within the socio-technical work system, for example, the technology has been used for production planning [14], [15].…”

Section: Virtual Reality For Scenario Buildingmentioning

confidence: 99%

Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production

Aschenbrenner

Tol

Rusák

et al. 2020

2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Self Cite

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This paper proposes to use Virtual Reality scenarios to explore the reaction of stakeholders within an innovation process in the context of the introduction of robots working in close collaboration with users. The goal is to design the system upfront in such a way, that it is not perceived as a threat to the worker or his/her job. Within the responsible research and innovation approach, the introduction of new technology needs to be accompanied by a careful investigation of the thoughts and feelings of all stakeholders. Especially workers who are currently not working with robots but their workspace is currently undergoing an Industry 4.0 driven transformation, experience fear, that this new technology will make their jobs redundant. On the other hand, it can be observed, that successful robot interaction processes, on the one hand, increase the overall productivity, but also can enhance human well-being. The feeling of "teamwork" with the artificial intelligence entity can develop to be equally positive and motivating. To be able to design future workspaces which will result in a "teamwork" perception instead of the "fear" perception, the use of VR can be applied.

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“…In [31], a model‐based programming environment is proposed that integrates robotic control flow with workflows specified as structured flow charts. A visual workflow simulation environment is proposed in [32] that helps integrate robotic and human participants in Industry 4.0 workflows. In [29], concurrent patterns such as periodic timers and active objects are integrated into robotic task executions.…”

Section: Related Workmentioning

confidence: 99%

Workflow composition and analysis in Industry 4.0 warehouse automation

Kattepur

2019

IET Collaborative Intelligent Manufacturing

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Workflow compositions have been exploited in business process modelling to handle concurrent invocations of modular components. With the emergence of Industry 4.0 warehouse automation, which enable the integration of business processes, mechanised robots, sensor–actuators and human participants, analysis and specification of workflows become crucial. As such environments have dynamic deployments due to varying demand rates and environmental conditions, the workflow compositions are intended to be adaptable to runtime changes. In addition, monitoring the end‐to‐end latency and optimal runtime binding is critical in industrial deployments such as warehouse automation. The authors provide specifications in the concurrent programming language Orc that supports most commonly used workflow patterns. Complex deployments involving multiple robotic agents and business processes further require analysis of correctness, liveness, and safety properties. In order to verify the workflows, the Orc specifications are translated into workflow net representations, with verification done using the TAPAAL model checker. The advantages of deploying fine grained analysis of workflows are demonstrated over picker/delivery robots involved in warehouse operations. The envisioned set of reusable specifications may be extended and applied to a variety of Industry 4.0 deployments to handle complex workflow interactions.

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Portable Rapid Visual Workflow Simulation Tool for Human Robot Coproduction

Cited by 7 publications

References 12 publications

Challenges and Research Opportunities faced in Pharma Industries: 4.0

Challenges and Research Opportunities faced in Pharma Industries: 4.0

Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production

Workflow composition and analysis in Industry 4.0 warehouse automation

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