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The representation of knowledge about material,
process and resource and its consequent impact of
environment using ontologies together with
reasoning capabilities will help the inexperienced
planners as well the experienced ones to get
knowhow concerning emissions that is anticipated to
be assessed as well as the environmental impact of
combination of potential product, process and
resource. The intelligent assistance tool runs on web
based system to facilitate geographically distributed
planners in building, updating, sharing knowledge.
Moreover, this knowledge helps in conducting
assessements regarding eco-efficiency in
manufacturing of customized products.
ACKNOWLEDGEMENTS
The work reported in this paper is supported by EC
FP7 Factories of the FUTURE Research Project e-
Custom "A Web-based Collaboration System for
Mass Customization" (NMP2-SL-2010-260067), to
configure production systems through web based
collaboration in a decentralized production
environment.
REFERENCES
Berger, U., Kretzschmann, R., Arnold, K. P., Minhas, S.,
2008, Approach for the Development of a Heuristic
Process Planning Tool for Sequencing NC Machining
Operations, Applied Computer Science, 4/2:17-41
Cai, J., 2007, Development of a Reference Feature-Based
Machining Process Planning Data Model for Web-
Enabled Exchange in Extended Enterprise, PhD
Dissertation, Shaker Verlag, Aachen.
Christensen, T. B., 2009, Integration of Environmental
Technology in Modularized Production Systems in the
Automotive Industry, in: Proceedings of Joint Action
on Climate Changes Conference, Denmark.
Efthymiou, K., Alexopoulos, K., Sipsas, P., Mourtzis, D.,
Chryssolouris, G., 2011,(a), Knowledge Management
Framework, Supporting Manufacturing System
Design, Proceedings of 7
th
International Conference
on Digital Enterprise Technology (DET2011), Athens,
28-30 Sep. 2011.
Efthymiou, K., Sipsas, K., Melekos, D., Georgoulias, K.,
Chryssolouris, G., 2011, (b), A Manufacturing
Ontology Following Performance Indicators
Approach, Proceedings of 7
th
International
Conference on Digital Enterprise Technology
(DET2011), Athens, 28-30 Sep. 2011.
Fjällström, S., Säfsten, K., Harlin, U., Stahre, J., 2009,
Information Enabling Production Ramp-Up, Journal
of Manufacturing Technology Management. 20/2:178-
196.
Joo, J., 2005, Neural Network-based Dynamic Planning
Model for Process Parameter Determination,
Proceedings of International Conference on
Computational Intelligence for Modelling, Control
and Automation and International Conference on
Intelligent Agents, Web Technologies and Internet
Commerce, Vienna, 28.-30. Nov., 117-122.
Minhas, S., Juzek, C., Berger, U., 2012, Ontology based
Intelligent Assistance System to Support
Manufacturing Activities in a Distributed
Manufacturing Environment, Proceedings of 45
th
CIRP Conference on Manufacturing Systems, Athens,
16.-18. May, 2012.
Mokhtar, A., Tavakoli-Bina, A, Houshmand, M., 2007,
Approaches and Challenges in Machining Feature
Based Process Planning, Proceedings of 4th
International Conference on Digital Enterprise
Technology.
Monostori, L., Viharos, Z. J., Markos, S., 2000, Satisfying
Various Requirements in Different Levels and Stages
of Machining using One General ANN Based Process
Model, Journal of Materials Processing Technology,
107/1-3:228-235.
Tsai, Y. L., You, C. F., Lin, J. Y., Liu, K. Y., 2010,
Knowledge-based Engineering for Process Planning
and Die Design for Automotive Panels, Computer-
Aided Design & Applications, 7/1:75-87.
Tu, Y., Chu, X., Yang, W., 2000, Computer-Aided
Process Planning in Virtual One-of-a-Kind
Production, Journal Computers in Industry, 41:99-
110.
Venkatesan, D., Kannan, K., Saravanan, R., 2009, A
Genetic Algorithm-Based Artificial Neural Network
Model for the Optimization of Machining Processes,
Neural Computing and Applications, 18/2:135-140.
Wu, M., Li, D., Ji, W., 2010, Knowledge-Based
Reasoning Assembly Process Planning Approach to
Laser Range-Finder, International Conference on
Computer Application and System Modeling
(ICCASM), Taiyuan, 22.-24. Oct., V2-686-V2-690.
Zhang, D. Z., Anosike, A. I., Lim, M. K., Akanle, O. M.,
2006, An Agent-Based Approach for e-Manufacturing
and Supply Chain Integration, Journal of Computers
and Industrial Engineering, 51/2:343-360.
Zhang, F., Zhang, Y. F., Nee, A. Y. C., 1997, Using
Genetic Algorithms in Process Planning for Job Shop
Machining, IEEE Transactions on Evolutionary
Computation, 1/4:278-289.
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