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

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.

[1]  Pedro Ferreira,et al.  An AutomationML model for plug-and-produce assembly systems , 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

[2]  Gunther Reinhart,et al.  Digital description of products, processes and resources for task-oriented programming of assembly systems , 2017, J. Intell. Manuf..

[3]  Bran Selic,et al.  Execution of UML models: a systematic review of research and practice , 2018, Software & Systems Modeling.

[4]  D. Battini,et al.  Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research , 2021, Int. J. Prod. Res..

[5]  Francesco Rovida,et al.  Design and development of a software architecture for autonomous mobile manipulators in industrial environments , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

[6]  Eeva Järvenpää,et al.  The development of an ontology for describing the capabilities of manufacturing resources , 2018, J. Intell. Manuf..

[7]  Gunther Reinhart,et al.  Decision Support System for Joint Product Design and Reconfiguration of Production Systems , 2019, APMS.

[8]  Robert I. M. Young,et al.  The application of common logic based formal ontologies to assembly knowledge sharing , 2015, J. Intell. Manuf..

[9]  Eeva Järvenpää,et al.  Capability-based Adaptation of Production Systems in a Changing Environment , 2012 .

[10]  Parag Vichare,et al.  A Unified Manufacturing Resource Model for representing CNC machining systems , 2009 .

[11]  Åsa Fast-Berglund,et al.  Increasing operational flexibility using Industry 4.0 enabling technologies in final assembly , 2020, 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[12]  Patrik Holmström Modelling manufacturing systems capability , 2006 .

[13]  Constantin Wagner,et al.  Challenges in Skill-based Engineering of Industrial Automation Systems* , 2018, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA).

[14]  El-Houssaine Aghezzaf,et al.  Defining Flexibility of Assembly Workstations Through the Underlying Dimensions and Impacting Drivers , 2019, Procedia Manufacturing.

[15]  Eeva Järvenpää,et al.  An Executable Capability Concept in Formal Resource Descriptions , 2018 .

[16]  Alexander Fay,et al.  Product-oriented description of manufacturing resource skills , 2018 .

[17]  Jürgen Beyerer,et al.  Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems , 2015, Autom..

[18]  Alexander Fay,et al.  A Formal Capability and Skill Model for Use in Plug and Produce Scenarios , 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).