Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/27709

Title: An AutomationML model for plug-and-produce assembly systems
Authors: Danny, Paul
Ferreira, Pedro
Lohse, Niels
Guedes, Magno
Keywords: AutomationML
Cyber physical systems
Semantic models
Process and resource
Skill recipe
Skill requirement
Issue Date: 2017
Publisher: © IEEE
Citation: DANNY, P. ... et al, 2017. An AutomationML model for plug-and-produce assembly systems. Presented at the 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, Germany, 24th-26th July 2017, pp. 849-854.
Abstract: This paper aims to support the creation of high performance ‘Plug-and-Produce’ systems by proposing a new semantic model that targets the use of AutomationML (AML). In this direction, the focus is narrowed to the self-description of equipment modules that highlights the use of ‘Skill’ concept. An insight description on how the concept of ‘Skill Recipe’ can be used to execute the equipment ‘Skills’ to fulfil the product's assembly requirements is also provided. This is viewed as a critical concept to achieve high performance in ‘Plug-and-Produce’. To translate the base semantic definitions, we have developed new libraries that are fully compliant with the AML standard. The main purpose of using AML in this context is to bridge production and other engineering domains. An overview of the literature that covers the past and current trends in data exchange and standards is presented, while pointing out the existing challenges and limitations. The vision of this paper is to support the standardization effort of integrating information for design, build, ramp-up and operation of production systems. Hence, this approach elucidates the use of existing AML concepts to model and instantiate Product, Process and Resource (PPR), and the underlying definitions such as: ‘Skills’, ‘Skill Recipes’ and ‘Skill Requirements’. Finally, this paper illustrates the implementation of this approach in AML with a help of an industrial case study demonstrated within the openMOS project.
Description: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: The reported work is a part of the openMOS project partially funded by the European Commission as a part of the EC-H2020-IA (GA 680735).
Version: Accepted for publication
DOI: 10.1109/INDIN.2017.8104883
URI: https://dspace.lboro.ac.uk/2134/27709
Publisher Link: https://doi.org/10.1109/INDIN.2017.8104883
ISBN: 978153860837117
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
ND -005088.pdfAccepted version1.17 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.