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Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning


The requirements on production systems are continuously being shifted towards higher flexibility and adaptability. The ReCaM-project demonstrated at TRL 7 a set of integrated tools for the rapid and autonomous reconfiguration of agile production systems, both at operational as well as managerial levels, integrated with the existing production planning and scheduling tools (MES). This approach is based on intelligent plug-and-produce capable self-describing mechatronic objects, which are able to auto-program and self-adjust to the required task by utilizing parametric capabilities. These next generation flexible production systems and the proposed set of enabling ICT tools will allow a rapid and cost-efficient reaction to dynamic market changes, also in small-lot production contexts, reducing the efforts needed to switch between product types and production quantities. ReCaM-solutions are expected to allow increasing the amount of variants and decreasing the lot sizes by 50% in an economically feasible way. Also, at least 30% reduction in set-up and changeover times and costs are expected. The integrated planning tool will take into consideration the energy consumption of the specific resources and try to minimize it by smart production scheduling, utilization of integrated operating-point switching of mechatronic objects, and reconfiguration. Thus, at least 5% reduction in energy consumption is anticipated. The project will ground on existing de-facto standards and specifications regarding reconfigurable system architectures, resource data models, control architectures and interfaces, and will provide and supplement new specifications for the missing aspects. The ReCaM consortium sees strong involvement of SME’s to RTD and demonstration activities and two end-users from major EU sectors, thus enabling proper exploitation of the demonstrated results worldwide.


Project fact sheet and public deliverables can be found from here: and

Tampere University developed automatic capability matchmaking system which is used to compare the product requirements against the resource capabilities in order to find feasible resource combinations to specific requirements. This matchmaking relies on formal OWL-based descriptions of products and resources, and semantic rules. Video illustrating the work done by TAU in ReCaM can be found from here:

Downloadable information models:

The developed ontology models (OWL) representing products, manufacturing resources and capabilities:

Data model for XML-based Resource Description:

Sample Resource Description for a production resource as XML-based model:

The living models are hosted here:


List of publications produced by TAU

Järvenpää, E, Siltala, N, Hylli, O & Lanz, M 2019, 'Implementation of capability matchmaking software facilitating faster production system design and reconfiguration planning', Journal of Manufacturing Systems, vol. 53, pp. 261-270.

Siltala, N, Järvenpää, E & Lanz, M 2019, 'A method to evaluate interface compatibility during production system design and reconfiguration', Procedia CIRP, vol. 81, pp. 282-287.

Mital, A, Siltala, N, Järvenpää, E & Lanz, M 2019, 'Web-based solution to automate capability matchmaking for rapid system design and reconfiguration', Procedia CIRP, vol. 81, pp. 288-293.

Järvenpää, E, Siltala, N, Hylli, O & Lanz, M 2019, 'The development of an ontology for describing the capabilities of manufacturing resources', Journal of Intelligent Manufacturing, vol. 30, no. 2, pp. 959-978.

Siltala, N, Järvenpää, E & Lanz, M 2019, Creating resource combinations based on formally described hardware interfaces. in Precision Assembly in the Digital Age - 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018, Revised Selected Papers. vol. 530, IFIP Advances in Information and Communication Technology, Springer New York LLC, pp. 29-39, International precision assembly seminar, 1/01/14.

Siltala, N, Järvenpää, E & Lanz, M 2018, 'An executable capability concept in formal resource descriptions', IFAC-PapersOnLine, vol. 51, no. 11, pp. 102-107.

Järvenpää, E, Hylli, O, Siltala, N & Lanz, M 2018, 'Utilizing SPIN rules to infer the parameters for combined capabilities of aggregated manufacturing resources', IFAC-PapersOnLine, vol. 51, no. 11, pp. 84-89.

Järvenpää, E, Siltala, N, Hylli, O & Lanz, M 2018, 'Product Model ontology and its use in capability-based matchmaking', Procedia CIRP, vol. 72, pp. 1094-1099.

Siltala, N, Järvenpää, E & Lanz, M 2018, 'Value proposition of a resource description concept in a production automation domain', Procedia CIRP, vol. 72, pp. 1106-1111.

Järvenpää, E, Lanz, M & Siltala, N 2018, 'Formal resource and capability models supporting re-use of manufacturing resources', Procedia Manufacturing, vol. 19, pp. 87-94.

Hansson, MN, Järvenpää, E, Siltala, N & Madsen, O 2017, 'Modelling Capabilities for Functional Configuration of Part Feeding Equipment', Procedia Manufacturing, vol. 11, pp. 2051-2060.

Järvenpää, E, Siltala, N, Hylli, O & Lanz, M 2017, 'Capability Matchmaking Procedure to Support Rapid Configuration and Re-configuration of Production Systems', Procedia Manufacturing, vol. 11, pp. 1053-1060.

Siltala, N, Järvenpää, E & Lanz, M 2016, Formal Information Model for Representing Production Resources. in Advances in Production Management Systems: Initiatives for a Sustainable World - IFIP WG 5.7 International Conference, APMS 2016, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 488, Springer, pp. 53-60, International Conference on Advances in Production Management Systems, 1/01/00.

Järvenpää, E, Siltala, N & Lanz, M 2016, Formal Resource and Capability Descriptions Supporting Rapid Reconfiguration of Assembly Systems. in Proceedings of the 12th Conference on Automation Science and Engineering, and International Symposium on Assembly and Manufacturing. IEEE, pp. 120-125, INTERNATIONAL SYMPOSIUM ON ASSEMBLY AND MANUFACTURING, 1/01/00.