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Publications (4 of 4) Show all publications
Brownlee, A. E. I., Swan, J., Senington, R. & Kocsis, Z. A. (2019). Conflict-free routing of multi-stop warehouse trucks. Optimization Letters
Open this publication in new window or tab >>Conflict-free routing of multi-stop warehouse trucks
2019 (English)In: Optimization Letters, ISSN 1862-4472, E-ISSN 1862-4480Article in journal (Refereed) Epub ahead of print
Abstract [en]

The recent interest in greater vehicular autonomy for factory and warehouse automation has stimulated research in conflict-free routing: a challenging network routing problem in which vehicles may not pass each other. Motivated by a real-world case study, we consider one such application: truck movements in a tightly constrained warehouse. We propose an extension of an existing conflict-free routing algorithm to consider multiple stopping points per route. A high level metaheuristic is applied to determine the route construction and assignment of vehicles to routes. 

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Graphs, Metaheuristic, Onflict-free routing, Permutations, Shortest path, Graph theory, Industrial plants, Trucks, Warehouses
National Category
Computational Mathematics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-17519 (URN)10.1007/s11590-019-01453-6 (DOI)2-s2.0-85069669142 (Scopus ID)
Available from: 2019-08-12 Created: 2019-08-12 Last updated: 2019-08-13Bibliographically approved
Senington, R., Baumeister, F., Ng, A. & Oscarsson, J. (2018). A linked data approach for the connection of manufacturing processes with production simulation models. Paper presented at 28th CIRP Design Conference, Nantes, France, May 23-25, 2018. Procedia CIRP, 70, 440-445
Open this publication in new window or tab >>A linked data approach for the connection of manufacturing processes with production simulation models
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 70, p. 440-445Article in journal (Refereed) Published
Abstract [en]

This paper discusses the expected benefits of using linked data for the tasks of gathering, managing and understanding the data of smart factories. It has the further specific focus of using this data to maintaining a Digital Twin for the purposes of analysis and optimisation of such factories. The proposals are motivated by the use of an industrial example looking at the types of information required, the variation in data which is available and the requirements of an analysis platform to provide parameters for seamless, automated simulation and optimisation. 

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Smart Factory, Digital Twin, Linked Data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Computer Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16005 (URN)10.1016/j.procir.2018.03.243 (DOI)000437126800074 ()2-s2.0-85051264447 (Scopus ID)
Conference
28th CIRP Design Conference, Nantes, France, May 23-25, 2018
Projects
TWIN
Available from: 2018-07-20 Created: 2018-07-20 Last updated: 2018-11-09Bibliographically approved
Senington, R. (2018). Software containers as a generic foundation for iec 61499 distributed control systems. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 273-278). Amsterdam: IOS Press
Open this publication in new window or tab >>Software containers as a generic foundation for iec 61499 distributed control systems
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 273-278Conference paper, Published paper (Refereed)
Abstract [en]

It is predicated that in the future factories will be more dependent upon complex distributed control software, where execution and communication occur at the edge of the system, close to the machines that are involved in the manufacturing process. This introduces the problem of how to effectively design, deploy and manage such systems. The IEC 61499 function block standard has been given as one way to solve this problem, proposing applications made from a number of modular event driven blocks that encapsulate algorithms potentially in any programming language. At the same time the Internet of Things and Cloud computing fields have encountered the similar problem of encapsulating, managing and distributing scalable applications, and have been investigating software containers as a solution. This paper proposes to combine these two approaches using containers to enable easy distribution and management of software modules on manufacturing devices while taking advantage of the IEC 61499 application model to enable an application orchestration tool. It describes the properties of container technology that can support the creation of function block like components and the proposal is supported by a prototype version of such a system which has already been implemented.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Containers, Docker, IEC 61499, Distributed parameter control systems, Industrial research, Manufacture, Problem oriented languages, Problem solving, Application modeling, Distributed control, IEC 61499 function blocks, Manufacturing devices, Manufacturing process, Prototype versions, Application programs
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16495 (URN)10.3233/978-1-61499-902-7-273 (DOI)000462212700044 ()2-s2.0-85057420014 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2019-04-08Bibliographically approved
Senington, R., Pataki, B. & Wang, X. V. (2018). Using docker for factory system software management: Experience report. Paper presented at 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm, Sweden, 16 May 2018 through 18 May 2018. Procedia CIRP, 72, 659-664
Open this publication in new window or tab >>Using docker for factory system software management: Experience report
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 659-664Article in journal (Refereed) Published
Abstract [en]

As factories become increasingly computerised, and with the increasing interest in Cyber-Physical-Systems and the Internet-of-Things, the issues of software management, deployment, configuration and integration are expected to become increasingly important. This paper reports on the ongoing experiences of using the Docker container technology in a major EU research project targeting smart factories. Docker is used to distribute, deploy and manage the configuration of multiple software modules between multiple teams and demonstrator sites in multiple locations, where each module can use its own mixture of protocols, programming languages and platforms.

Keywords
System Integration, Docker, Software Containers
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16366 (URN)10.1016/j.procir.2018.03.173 (DOI)2-s2.0-85049587599 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm, Sweden, 16 May 2018 through 18 May 2018
Projects
SYMBIO-TICYOU
Available from: 2018-11-06 Created: 2018-11-06 Last updated: 2019-06-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1679-3319

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