Modeling and Executing Production Processes with Capabilities and Skills using Ontologies and BPMN
April 20, 2022 Β· Declared Dead Β· π IEEE International Conference on Emerging Technologies and Factory Automation
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Authors
Aljosha KΓΆcher, Luis Miguel Vieira da Silva, Alexander Fay
arXiv ID
2204.09472
Category
cs.SE: Software Engineering
Cross-listed
eess.SY
Citations
14
Venue
IEEE International Conference on Emerging Technologies and Factory Automation
Last Checked
4 months ago
Abstract
Current challenges of the manufacturing industry require modular and changeable manufacturing systems that can be adapted to variable conditions with little effort. At the same time, production recipes typically represent important company know-how that should not be directly tied to changing plant configurations. Thus, there is a need to model general production recipes independent of specific plant layouts. For execution of such a recipe however, a binding to then available production resources needs to be made. In this contribution, select a suitable modeling language to model and execute such recipes. Furthermore, we present an approach to solve the issue of recipe modeling and execution in modular plants using semantically modeled capabilities and skills as well as BPMN. We make use of BPMN to model \emph{capability processes}, i.e. production processes referencing abstract descriptions of resource functions. These capability processes are not bound to a certain plant layout, as there can be multiple resources fulfilling the same capability. For execution, every capability in a capability process is replaced by a skill realizing it, effectively creating a \emph{skill process} consisting of various skill invocations. The presented solution is capable of orchestrating and executing complex processes that integrate production steps with typical IT functionalities such as error handling, user interactions and notifications. Benefits of the approach are demonstrated using a flexible manufacturing system.
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