Loading…
On a containerized approach for the dynamic planning and control of a cyber - physical production system
•A framework for reconfigurable cyber-physical production systems.•A hierarchical structure enables holistic production plan, supervision, and control.•IEC61499 based function blocks used as data model and for event triggered control.•Use of containers to automate deployment of control systems in Io...
Saved in:
Published in: | Robotics and computer-integrated manufacturing 2020-08, Vol.64, p.101919, Article 101919 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273 |
---|---|
cites | cdi_FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273 |
container_end_page | |
container_issue | |
container_start_page | 101919 |
container_title | Robotics and computer-integrated manufacturing |
container_volume | 64 |
creator | Nikolakis, Nikolaos Senington, Richard Sipsas, Konstantinos Syberfeldt, Anna Makris, Sotiris |
description | •A framework for reconfigurable cyber-physical production systems.•A hierarchical structure enables holistic production plan, supervision, and control.•IEC61499 based function blocks used as data model and for event triggered control.•Use of containers to automate deployment of control systems in IoT environment.•The use case results support advanced control and enhanced flexibility.
The increased complexity of modern production systems requires sophisticated system control approaches to maintain high levels of flexibility. Furthermore, the request for customized production with the introduction of heterogeneous production resources, increases the diversity of manufacturing systems making their reconfiguration complex and time consuming.
In this paper, an end-to-end approach for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events.
High-level management of manufacturing operations is performed on a centralized node while the data processing and execution control is handled at the network edge. Runtime events are generated at the edge and in smart connected devices via means of a variant of IEC61499 function blocks. Software containers manage the deployment and low-level orchestration of FBs at the edge devices. All aspects of the proposed solution have been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry. |
doi_str_mv | 10.1016/j.rcim.2019.101919 |
format | article |
fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_DiVA_org_his_18283</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0736584519300183</els_id><sourcerecordid>2437187019</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273</originalsourceid><addsrcrecordid>eNp9UU1r3DAUFCWBbrb5AzkJeo03kmXZFvQSNs0HLOyl7VVopadYy67kSN4G59dXjkuOubwHj5lh3gxCV5SsKKH1zX4VtTuuSkLFdBBUfEEL2jaiKDlrztCCNKwueFvxr-gipT0hpKw4W6Bu67HCOvhBOQ_RvYHBqu9jULrDNkQ8dIDN6NXRadwflPfOP2PlzTsnhgMOdhIYdxBxgftuTE6rA84K5qQHFzxOYxrg-A2dW3VIcPl_L9Hv-5-_1o_FZvvwtL7dFLoiYihM05BacLGDPFhra2EVZ7ziraitsczwStOmNKyipObcQr2rNQhmlKoUKxu2RNezbnqF_rSTfXRHFUcZlJN37s-tDPFZdi5J2pYty_DvMzwbfjlBGuQ-nKLPDmVZsSZHmNPMqHJG6RhSimA_ZCmRUwFyL6cC5FSAnAvIpB8zCfK7fx1EmbQDr8G4CHqQJrjP6P8AQk2PKQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2437187019</pqid></control><display><type>article</type><title>On a containerized approach for the dynamic planning and control of a cyber - physical production system</title><source>ScienceDirect Freedom Collection</source><creator>Nikolakis, Nikolaos ; Senington, Richard ; Sipsas, Konstantinos ; Syberfeldt, Anna ; Makris, Sotiris</creator><creatorcontrib>Nikolakis, Nikolaos ; Senington, Richard ; Sipsas, Konstantinos ; Syberfeldt, Anna ; Makris, Sotiris</creatorcontrib><description>•A framework for reconfigurable cyber-physical production systems.•A hierarchical structure enables holistic production plan, supervision, and control.•IEC61499 based function blocks used as data model and for event triggered control.•Use of containers to automate deployment of control systems in IoT environment.•The use case results support advanced control and enhanced flexibility.
The increased complexity of modern production systems requires sophisticated system control approaches to maintain high levels of flexibility. Furthermore, the request for customized production with the introduction of heterogeneous production resources, increases the diversity of manufacturing systems making their reconfiguration complex and time consuming.
In this paper, an end-to-end approach for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events.
High-level management of manufacturing operations is performed on a centralized node while the data processing and execution control is handled at the network edge. Runtime events are generated at the edge and in smart connected devices via means of a variant of IEC61499 function blocks. Software containers manage the deployment and low-level orchestration of FBs at the edge devices. All aspects of the proposed solution have been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry.</description><identifier>ISSN: 0736-5845</identifier><identifier>ISSN: 1879-2537</identifier><identifier>EISSN: 1879-2537</identifier><identifier>DOI: 10.1016/j.rcim.2019.101919</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Automobile industry ; Complexity ; Containerization ; Containers ; Cyber-physical production system ; Data processing ; Flexibility ; Planning ; Production and Automation Engineering ; Production scheduling ; Produktion och automatiseringsteknik ; Reconfiguration ; Schedules ; Software ; VF-KDO</subject><ispartof>Robotics and computer-integrated manufacturing, 2020-08, Vol.64, p.101919, Article 101919</ispartof><rights>2019 The Authors</rights><rights>Copyright Elsevier BV Aug 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273</citedby><cites>FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273</cites><orcidid>0000-0003-3973-3394 ; 0000-0003-1679-3319</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18283$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Nikolakis, Nikolaos</creatorcontrib><creatorcontrib>Senington, Richard</creatorcontrib><creatorcontrib>Sipsas, Konstantinos</creatorcontrib><creatorcontrib>Syberfeldt, Anna</creatorcontrib><creatorcontrib>Makris, Sotiris</creatorcontrib><title>On a containerized approach for the dynamic planning and control of a cyber - physical production system</title><title>Robotics and computer-integrated manufacturing</title><description>•A framework for reconfigurable cyber-physical production systems.•A hierarchical structure enables holistic production plan, supervision, and control.•IEC61499 based function blocks used as data model and for event triggered control.•Use of containers to automate deployment of control systems in IoT environment.•The use case results support advanced control and enhanced flexibility.
The increased complexity of modern production systems requires sophisticated system control approaches to maintain high levels of flexibility. Furthermore, the request for customized production with the introduction of heterogeneous production resources, increases the diversity of manufacturing systems making their reconfiguration complex and time consuming.
In this paper, an end-to-end approach for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events.
High-level management of manufacturing operations is performed on a centralized node while the data processing and execution control is handled at the network edge. Runtime events are generated at the edge and in smart connected devices via means of a variant of IEC61499 function blocks. Software containers manage the deployment and low-level orchestration of FBs at the edge devices. All aspects of the proposed solution have been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry.</description><subject>Automobile industry</subject><subject>Complexity</subject><subject>Containerization</subject><subject>Containers</subject><subject>Cyber-physical production system</subject><subject>Data processing</subject><subject>Flexibility</subject><subject>Planning</subject><subject>Production and Automation Engineering</subject><subject>Production scheduling</subject><subject>Produktion och automatiseringsteknik</subject><subject>Reconfiguration</subject><subject>Schedules</subject><subject>Software</subject><subject>VF-KDO</subject><issn>0736-5845</issn><issn>1879-2537</issn><issn>1879-2537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UU1r3DAUFCWBbrb5AzkJeo03kmXZFvQSNs0HLOyl7VVopadYy67kSN4G59dXjkuOubwHj5lh3gxCV5SsKKH1zX4VtTuuSkLFdBBUfEEL2jaiKDlrztCCNKwueFvxr-gipT0hpKw4W6Bu67HCOvhBOQ_RvYHBqu9jULrDNkQ8dIDN6NXRadwflPfOP2PlzTsnhgMOdhIYdxBxgftuTE6rA84K5qQHFzxOYxrg-A2dW3VIcPl_L9Hv-5-_1o_FZvvwtL7dFLoiYihM05BacLGDPFhra2EVZ7ziraitsczwStOmNKyipObcQr2rNQhmlKoUKxu2RNezbnqF_rSTfXRHFUcZlJN37s-tDPFZdi5J2pYty_DvMzwbfjlBGuQ-nKLPDmVZsSZHmNPMqHJG6RhSimA_ZCmRUwFyL6cC5FSAnAvIpB8zCfK7fx1EmbQDr8G4CHqQJrjP6P8AQk2PKQ</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Nikolakis, Nikolaos</creator><creator>Senington, Richard</creator><creator>Sipsas, Konstantinos</creator><creator>Syberfeldt, Anna</creator><creator>Makris, Sotiris</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>ABSHZ</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DF6</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0003-3973-3394</orcidid><orcidid>https://orcid.org/0000-0003-1679-3319</orcidid></search><sort><creationdate>20200801</creationdate><title>On a containerized approach for the dynamic planning and control of a cyber - physical production system</title><author>Nikolakis, Nikolaos ; Senington, Richard ; Sipsas, Konstantinos ; Syberfeldt, Anna ; Makris, Sotiris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Automobile industry</topic><topic>Complexity</topic><topic>Containerization</topic><topic>Containers</topic><topic>Cyber-physical production system</topic><topic>Data processing</topic><topic>Flexibility</topic><topic>Planning</topic><topic>Production and Automation Engineering</topic><topic>Production scheduling</topic><topic>Produktion och automatiseringsteknik</topic><topic>Reconfiguration</topic><topic>Schedules</topic><topic>Software</topic><topic>VF-KDO</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nikolakis, Nikolaos</creatorcontrib><creatorcontrib>Senington, Richard</creatorcontrib><creatorcontrib>Sipsas, Konstantinos</creatorcontrib><creatorcontrib>Syberfeldt, Anna</creatorcontrib><creatorcontrib>Makris, Sotiris</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>SWEPUB Högskolan i Skövde full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Högskolan i Skövde</collection><collection>SwePub Articles full text</collection><jtitle>Robotics and computer-integrated manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nikolakis, Nikolaos</au><au>Senington, Richard</au><au>Sipsas, Konstantinos</au><au>Syberfeldt, Anna</au><au>Makris, Sotiris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On a containerized approach for the dynamic planning and control of a cyber - physical production system</atitle><jtitle>Robotics and computer-integrated manufacturing</jtitle><date>2020-08-01</date><risdate>2020</risdate><volume>64</volume><spage>101919</spage><pages>101919-</pages><artnum>101919</artnum><issn>0736-5845</issn><issn>1879-2537</issn><eissn>1879-2537</eissn><abstract>•A framework for reconfigurable cyber-physical production systems.•A hierarchical structure enables holistic production plan, supervision, and control.•IEC61499 based function blocks used as data model and for event triggered control.•Use of containers to automate deployment of control systems in IoT environment.•The use case results support advanced control and enhanced flexibility.
The increased complexity of modern production systems requires sophisticated system control approaches to maintain high levels of flexibility. Furthermore, the request for customized production with the introduction of heterogeneous production resources, increases the diversity of manufacturing systems making their reconfiguration complex and time consuming.
In this paper, an end-to-end approach for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events.
High-level management of manufacturing operations is performed on a centralized node while the data processing and execution control is handled at the network edge. Runtime events are generated at the edge and in smart connected devices via means of a variant of IEC61499 function blocks. Software containers manage the deployment and low-level orchestration of FBs at the edge devices. All aspects of the proposed solution have been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.rcim.2019.101919</doi><orcidid>https://orcid.org/0000-0003-3973-3394</orcidid><orcidid>https://orcid.org/0000-0003-1679-3319</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0736-5845 |
ispartof | Robotics and computer-integrated manufacturing, 2020-08, Vol.64, p.101919, Article 101919 |
issn | 0736-5845 1879-2537 1879-2537 |
language | eng |
recordid | cdi_swepub_primary_oai_DiVA_org_his_18283 |
source | ScienceDirect Freedom Collection |
subjects | Automobile industry Complexity Containerization Containers Cyber-physical production system Data processing Flexibility Planning Production and Automation Engineering Production scheduling Produktion och automatiseringsteknik Reconfiguration Schedules Software VF-KDO |
title | On a containerized approach for the dynamic planning and control of a cyber - physical production system |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T08%3A39%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20a%20containerized%20approach%20for%20the%20dynamic%20planning%20and%20control%20of%20a%20cyber%20-%20physical%20production%20system&rft.jtitle=Robotics%20and%20computer-integrated%20manufacturing&rft.au=Nikolakis,%20Nikolaos&rft.date=2020-08-01&rft.volume=64&rft.spage=101919&rft.pages=101919-&rft.artnum=101919&rft.issn=0736-5845&rft.eissn=1879-2537&rft_id=info:doi/10.1016/j.rcim.2019.101919&rft_dat=%3Cproquest_swepu%3E2437187019%3C/proquest_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c409t-d7706959be95938f69fa53545896fdf3d54c172d3410655fe6b6ce93daa4a3273%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2437187019&rft_id=info:pmid/&rfr_iscdi=true |