Challenges in Skill-based Engineering of Industrial Automation Systems

Malakuti, Somayeh; Bock, Jürgen; Weser, Michael; Venet, Pierre; Zimmermann, Patrick; Wiegand, Mathias; Grothoff, Julian Alexander; Wagner, Constantin; Bayha, Andreas

doi:10.1109/etfa.2018.8502635

Cited by 50 publications

(18 citation statements)

References 10 publications

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“…investigate the feasibility of our knowledge-driven automation approach. A video of the experiment can be found online 3 .…”

Section: Discussionmentioning

confidence: 99%

“…Skills can be seen as a tool-centric approach to process modeling and execution that simplifies the abstraction of functionalities provided by hardware and software components [2], [3]. OPC UA (Open Platform Communications Unified Architecture) is a protocol for device integration and information exchange in modular production systems developed by the OPC Foundation.…”

Section: Related Workmentioning

confidence: 99%

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Toward a Knowledge-Based Data Backbone for Seamless Digital Engineering in Smart Factories

Perzylo

Kessler

Profanter

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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Digital transformation efforts in manufacturing companies bear the potential to reduce product costs and increase the flexibility of production systems. The semantic integration of data and information along the value chain enables the automated interpretation of interrelations between its different aspects such as product design, production process and manufacturing resources. These interrelations can be used to automatically generate semantic process descriptions and execute corresponding robot motions. An initial one-time effort to model the required knowledge of a particular application domain can make the manufacturing of high-variant products in small batches or even lot size one production more efficient. This paper introduces a knowledge-based digital engineering concept to automate engineering and production activities without human involvement. The concept was integrated and evaluated in a physical robot workcell where automotive fuse boxes are autonomously fitted with different fuse configurations.

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“…investigate the feasibility of our knowledge-driven automation approach. A video of the experiment can be found online 3 .…”

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Toward a Knowledge-Based Data Backbone for Seamless Digital Engineering in Smart Factories

Perzylo

Kessler

Profanter

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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“…T urn ∧ Shif t → P ass P ass ∧ Divide → Branch P ass ∧ Hold → Guide 7 For the sake of brevity, ontological axioms to express relationships between capabilities, such as in Eq. (9), are presented in simplified notation.…”

Section: P Osition ∧ Orient → Ordermentioning

confidence: 99%

“…It is expected that this envisaged flexibility and changeability in production can be facilitated by formally encoding what a production process is expecting from manufacturing resources and what each resource can contribute to the production system. Based on the work of [7], this paper proposes a formal encoding of capabilities, which can realize semiautomated and in the long run even fully automated production process planning. Fig.…”

Section: Introductionmentioning

confidence: 99%

“…Capabilities can be composed of sub-capabilities, e.g., the capability pick-and-place consists of the sub-capabilities grasp, release, and move. As discussed in [7], capabilities abstract manufacturing resource functionalities to enable the highest possible degree of changeability and flexibility in production systems. The matchmaking between required and offered capabilities shall automate the assessment, whether a device is able to execute a specific production task or not, as has been done implicitly or explicitly by human production planners so far.…”

Section: Introductionmentioning

confidence: 99%

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An Ontology-based Metamodel for Capability Descriptions

Weser

Bock

Schmitt

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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This paper presents an approach to describe abilities of manufacturing resources by a formal description of capabilities using Semantic Web technologies. A hierarchical ontology architecture is proposed to represent, publish, and extend knowledge on capabilities for different application domains and use cases. Furthermore, the paper describes patterns of how the underlying formal logic can be used in taxonomy modeling and the inference of implicit capability facts. The usability and performance of the approach was validated by formalizing capability knowledge of related work and evaluated in benchmarking a prototypical implemented tool for managing and querying catalogs of resources and their capabilities. The proposed concept is intended to be used as a foundation for a future multi-layered feasibility checking, which evaluates the compatibility of resources and their offered skills with the requirements of manufacturing tasks at symbolic and subsymbolic levels. Extended evaluations might be based on parameters, analytics, simulation, and other means.

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A Formal Skill Model Facilitating the Design and Operation of Flexible Assembly Workstations

Ginste

Cock

Alboom

et al. 2021

IFIP Advances in Information and Communication Technology

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In the Industry 4.0 area, there is an increasing demand for highly customized products in small batch sizes. Final assembly operations are frequently targeted to embed flexibility and compensate for the growing manufacturing uncertainties. Therefore, an adequately designed and operated flexible assembly workstation is crucial. Converting the flexibility needs into design and operational decisions requires versatile formal models delivering generic descriptions of needs and capacities. Skills form the central connector between products, processes and resources. Here, a skill-centered model for describing resource activities, the related production needs and flexibility impacts is introduced. The model fits both plug and produce and design optimization settings and goes beyond current skill-based modelling by offering a framework which, by design, does not limit the applications and easily adapts to the desired level of detail. One key strength is its ability to combine abstract and executable skills. Next to the product-action skills, also assistive skills related to operator support, parts storing, ergonomics etc. can be easily modelled. The use of the model is illustrated by an example based on an industrial use case from Flemish industry.

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Challenges in Skill-based Engineering of Industrial Automation Systems

Cited by 50 publications

References 10 publications

Toward a Knowledge-Based Data Backbone for Seamless Digital Engineering in Smart Factories

Toward a Knowledge-Based Data Backbone for Seamless Digital Engineering in Smart Factories

An Ontology-based Metamodel for Capability Descriptions

A Formal Skill Model Facilitating the Design and Operation of Flexible Assembly Workstations

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