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Ayani, Mikel
Publications (4 of 4) Show all publications
Syberfeldt, A., Ayani, M. & Holm, M. (2018). A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. 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. 405-410). Amsterdam: IOS Press
Open this publication in new window or tab >>A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle
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. 405-410Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a project that attempts to develop a holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. With such holistic solution, virtual commission could be undertaken in all steps of the life-cycle which facilitates companies in realizing flexible and intelligent automation systems. Based on the simulated twin, the companies could easily and cost-efficiently evaluate modifications, make improvements, and train operators when changes in the production setup occurs due mass-customization or new products being introduced. This aids the companies in staying competitive on a global and rapidly changing market and meet the challenges coming with the forth industrial revolution, such as mass-customization and short product life-cycles.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Simulated twin, Virtual commissioning, Automation system
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16374 (URN)10.3233/978-1-61499-902-7-405 (DOI)000462212700065 ()2-s2.0-85057394455 (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: 2018-11-08 Created: 2018-11-08 Last updated: 2019-04-08Bibliographically approved
Ayani, M., Ganebäck, M. & Ng, A. H. C. (2018). Digital Twin: Applying emulation for machine reconditioning. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 243-248
Open this publication in new window or tab >>Digital Twin: Applying emulation for machine reconditioning
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 243-248Article in journal (Refereed) Published
Abstract [en]

Old machine reconditioning projects extend the life length of machines with reduced investments, however they frequently involve complex challenges. Due to the lack of technical documentation and the fact that the machines are running in production, they can require a reverse engineering phase and extremely short commissioning times. Recently, emulation software has become a key tool to create Digital Twins and carry out virtual commissioning of new manufacturing systems, reducing the commissioning time and increasing its final quality. This paper presents an industrial application study in which an emulation model is used to support a reconditioning project and where the benefits gained in the working process are highlighted.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
digital twin, emulation, virtual commissioning, industry 4.0, reconditioning, retrofitting
National Category
Control Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16078 (URN)10.1016/j.procir.2018.03.139 (DOI)2-s2.0-85049565560 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Projects
Twin
Available from: 2018-08-24 Created: 2018-08-24 Last updated: 2018-10-31Bibliographically approved
Ayani, M., Ng, A. H. C. & Birtic, M. (2018). Optimizing Cycle Time and Energy Efficiency of a Robotic Cell Using an Emulation Model. 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 (ICMR), incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 411-416). Amsterdam: IOS Press, 8
Open this publication in new window or tab >>Optimizing Cycle Time and Energy Efficiency of a Robotic Cell Using an Emulation Model
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, Vol. 8, p. 411-416Conference paper, Published paper (Refereed)
Abstract [en]

Industrial automated systems are mostly designed and pre-adjusted to always work at their maximum production rate. This leaves room for important energy consumption reductions considering the production rate variations of factories in reality. This article presents a multi-objective optimization application targeting cycle time and energy consumption of a robotic cell. A novel approach is presented where an existing emulation model of a fictitious robotic cell was extended with low-level electrical components modeled and encapsulated as FMUs. The model, commanded by PLC and Robot Control software, was subjected to a multi-objective optimization algorithm in order to find the Pareto front between energy consumption and production rate. The result of the optimization process allows selecting the most efficient energy consumption for the robotic cell in order to achieve the required cycle.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Emulation, Optimization, Energy efficiency, Robotic cell
National Category
Control Engineering Computer Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16286 (URN)10.3233/978-1-61499-902-7-411 (DOI)000462212700066 ()2-s2.0-85057355546 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research (ICMR), incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2019-04-08Bibliographically approved
Syberfeldt, A., Ayani, M., Holm, M., Wang, L. & Lindgren-Brewster, R. (2016). Localizing Operators in the Smart Factory: A Review of Existing Techniques and systems. In: Proceedings of 2016 International Symposium on Flexible Automation: . Paper presented at 2016 International Symposium on Flexible Automation, Cleveland, Ohio, USA, 13 August, 2016 (pp. 186-192). IEEE Computer Society
Open this publication in new window or tab >>Localizing Operators in the Smart Factory: A Review of Existing Techniques and systems
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2016 (English)In: Proceedings of 2016 International Symposium on Flexible Automation, IEEE Computer Society, 2016, p. 186-192Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper to give a comprehensive overview of existing techniques and state-of-the-art systems for indoor localization that could be adopted in smart factories of the future. We present different techniques for calculating the position of a moving object using signal transmission and signal measurement,and compare their advantages and disadvantages. The paper also includes a discussion of various localization systems available in the market and compares their most important features. It ends with a discussion of important issues to consider in future work in order to fully implement indoor, real-time localization of operators in the smart factory.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-12909 (URN)000391854000032 ()2-s2.0-85010538957 (Scopus ID)978-1-5090-3467-3 (ISBN)978-1-5090-3468-0 (ISBN)978-1-5090-3466-6 (ISBN)
Conference
2016 International Symposium on Flexible Automation, Cleveland, Ohio, USA, 13 August, 2016
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2018-06-28Bibliographically approved
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