About KIPPcolla project

The main idea of the project is to create methods and tools for defining and designing formal information structures and communication interfaces for intelligent self-organizing entities, aka. Holons. Resource planning in factory floor (or other facility), knowledge flows between design tools and generic element descriptions are seen as evolving entities, which each have requirements for inputs and outputs communicated through well defined interfaces.

The project has two connecting focus areas. The first focus area is the development of better product-process knowledge exchange medias, which embed the meaning to the model. The knowledge intensive meaningful models offer the companies a basis for more reliable decision support as well as means for the re-use of the knowledge.

The second and following focus is in the area of intelligent manufacturing where the content of the models is fitted to the context. Digital manufacturing in DiMS context is seen as an ongoing negotiation process within a holarchy. Product design and business functions can test manufacture virtually against manufacturing domains best practices using Digital Virtual (DV) service holons. The holons are not only used for describing the manufacturing system in the digital product-process representation but also can be used for aftermarket purposes. Since the digital description of products and processes are validated against the reality the updated information of the processes and operations is saved into the history holon and archived.

In order to reach level where the product and production knowledge is available a new set of tools, standards and methods for the Finnish industrial environment is required. This project offers a novel method to map the meaning to the content in different levels of abstraction in heterogeneous design environment, where different service agents can utilize the created and/or reasoned knowledge smoothly. The project contains several work packages in order to overcome the challenges the companies are facing today.

Project partners:

TUT, Department of Production Engineering
National Institute of Standards and Technology (NIST)
Nokia Oyj
Finn-Power Oy
Hollming-Works Oy
Surveypal Oy

Images of the research:

Presentation of the research project and its results (pdf)

Research results:

1. Holonic Operation Environment Concept
Definition of the requirements for the dynamic holon-based environment (D 1.3. Requirements for holons, D3.1. Company specific case studies) opens up the concept as a whole. The main characteristics of the system are that it is an open system and has characteristics of a complex system. The system itself is an adaptive system, where different services are needed depending on the evolution of the production system itself.

The concept outlines following:

• Main characteristics and supporting theory base
• Comparison between static and dynamic environments
• Definition of modular components and interface requirements
• Information flow analysis and modeling
• Operation strategies in defined levels

2. Modular System – Modular ICT Concept
One of the main results was the development of concept for modular and flexible information architecture and operation environment (D 2.1. Interoperability Strategies, D 2.2. Knowledge models and D 3.2. Operation Strategies). The modular ICT approach is developed for a holonic manufacturing system (HMS). The concept developed here aims to enhance knowledge management and process control by facilitating the move from technology based solutions to configurable modular systems and processes where the digital models and modular knowledge management systems can be configured based on the need - not based on the closed legacy systems and fixed process planning. The developed modular ICT concept utilizes and extends the dynamic modularization ideology allowing new modules to be added or old ones to be removed throughout the system lifecycle, without disturbing the overall system.

• The principles of modularization, such as functionalities and interfaces, are used to deal with interactions of the full system.
• The approach taken here divides the knowledge management system into three separate layers: databases, semantic operation logic (the knowledge representation) and services that utilize the commonly available knowledge.
• Once the storing method is extracted from the logic and services, the new concepts (new service modules) can emerge.

3. Methodology for describing the capabilities and combined capabilities of resources
In a holonic system, resources need to describe their capabilities to other holons in order to organize the production.

• Automatic mapping of available resources against product requirements requires formalized and structured representation of the functional capabilities, properties and constraints of the resources.
• Presenting a simple capability of an individual resource.
• Methodology to describe the combined capability of multiple co-operating resources.

During the KIPPcolla project a methodology to formally describe the capabilities of individual resources and combined capabilities of multiple co-operating resources was developed and utilized in the pilot implementation (D 2.1. Interoperability Strategies; D3.1. Company Specific Case Studies – Case Sonecta).

 

Research reports:

D1.1 Standards Landscape
D1.2 Virtuality Roadmap
D1.3 Requirements for Holons

PhD Thesis: M. Lanz, Logical and Semantic Foundations of Knowledge Representation for Assembly and Manufacturing Processes, PhD Thesis, Publication 903, Tampere 2010

D2.1 Interoperability Strategies
D2.2 Knowledge Models

D3.1 Case Studies (only for concortia members)
D3.2 Operation Strategies

KIPPcolla Final Report

Publications:

Nylund H., Andersson P.H. 2011, Framework for extended digital manufacturing systems, International Journal of Computer Integrated Manufacturing, doi:10.1080/0951192X.2010.542179

Nylund H., Lanz M., Ranta A., Ikkala K. and Tuokko R., 2011, Viewpoints on Competitive and Sustainable Performance Metrics of an Intelligent Manufacturing Environment, Submitted to: Strojniški vestnik – Journal of Mechanical Engineering

Nylund, H., Lanz, M., Tuokko, R. and Andersson P.H. 2011, A holistic view on modelling and simulation in the context of an intelligent manufacturing environment, Submitted to: International conference on Flexible automation and intelligent manufacturing, FAIM 2011.

Nylund, H., Salminen, K., Lanz, M., Järvenpää, E. and Tuokko, R. 2011, Concept and Roadmap for a CSM-Hotel Capability Management, Extended abstract submitted to: International conference on Concurrent Enterprising, ICE 2011.

Järvenpää, E., Lanz, M., Siltala, N. & Tuokko, R. 2011. Activities and Corresponding Information Flows for Production System Adaptation Planning. Swedish Production Symposium, SPS11, 3-5 May 2011, Lund, Sweden.

Lanz, M., Järvenpää, E., Luostarinen, P., Tenhunen, A., Tuokko, R. & Rodriguez, R. 2011. Formalising Connections between Products, Processes and Resources – Towards Semantic Knowledge Management System. Swedish Production Symposium, SPS11, 3-5 May 2011, Lund, Sweden

Järvenpää, E., Luostarinen, P., Lanz, M. & Tuokko, R. 2011. Presenting capabilities of resources and resource combinations to support production system adaptation. Proceedings of IEEE International Symposium of Assembly and Manufacturing (ISAM), 25-27 May 2011, Tampere, Finland.

Järvenpää, E., Luostarinen, P., Lanz, M., Garcia, F. & Tuokko, R. 2011. Dynamic Operation Environment – Towards Intelligent Adaptive Production Systems. Proceedings of IEEE International Symposium of Assembly and Manufacturing (ISAM), 25-27 May 2011, Tampere, Finland.

Garcia, F., Lanz, M. Järvenpää, E. & Tuokko, R. 2011. Process Planning Based on Feature Recognition Method. International Symposium of Assembly and Manufacturing (ISAM), 25-27 May 2011, Tampere, Finland.

Lehtonen, T., Pakkanen, J., Järvenpää, J., Lanz, M. & Tuokko, R. 2011. Brownfield Process for Developing of Product Families. Proceedings of the 18th International Conference on Engineering Design, ICED11, 15-18 August 2011, Copenhagen, Denmark.

Nylund H, Andersson PH. 2010, Simulation of service-oriented and distributed manufacturing systems. Journal of Robotics and Computer Integrated Manufacturing 26/6 (2010), pp. 622-628.

Lanz, M., Nylund, H., Ranta, A., Luostarinen, P. & Tuokko, R. 2010. Set-up and first steps on capturing of realistic resource characteristics of an intelligent manufacturing environment. Proceedings of the 20th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2010, July 12-14, 2010, California State University East Bay, USA. pp. 1028-1036.

Järvenpää, E., Lanz, E., Mela, J. & Tuokko, R. 2010. Studying the Information Sources and Flows in a Company – Support for the Development of New Intelligent Systems. Proceedings of the 20th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM2010, July 14-17, 2010 California, USA, 8 p.

Nylund, H., Lanz, M., Ranta, A., Ikkala, K. and Tuokko, R. 2010, Developing Competitive and Sustainable Performance Metrics for an Intelligent Manufacturing Environment, Baric, G. & Dukic, G. (eds.). Proceedings of International Scientific Conference on Management of Technology - Step to Sustainable Production, MOTSP 2010, 2-4 June, 2010, Rovinj, Croatia, 8 p. (Best paper award).

M.Lanz, R.Rodriguez and R.Tuokko, Neutral Interface for Assembly and Manufacturing Related Knowledge Exchange in Heterogeneous Design Environment, published as book, Svetan M. Ratchev (Ed.): Precision Assembly Technologies and Systems, 5th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2010, Chamonix, France, February 14-17, 2010. Proceedings. IFIP 315 Springer 2010, ISBN 978-3-642-11597-4, France

M.Lanz, H.Nylund, A.Ranta, P.Luostarinen and R.Tuokko, Set-up and first steps on capturing of realistic resource characteristics of an intelligent manufacturing environment, Proceedings of FAIM 2010, US

H.Nylund, M.Lanz, A.Ranta, K.Ikkala and R.Tuokko, Developing Competitive and Sustainable Performance Metrics for an Intelligent Manufacturing Environment, Proceedings of MOTSP 2010, Kroatia

M.Lanz, M.Mani, S.Leong, K. Lyons, A.Ranta, K.Ikkala and N. Bengtsson, Impact of Energy Measurements in Machining Operations, Proceedings of ASME IDETC 2010,Canada, NIST internal publication 2010, US

M.Lanz and R. Tuokko, Generic Reference Architecture For Digital, Virtual, and Real Representations of Manufacturing Systems, proceedings of Indo-US Workshop 2009, India

M. Lanz, P. Luostarinen, F.Garcia and P. Andersson, Feature recognition as a basis for the cost allocation and decision making toolset, Proceedings of International Conference on Production Research (ICPR 2009), China