Core ontology for manufacturing and logistics

• Autorzy: Strzelczak S

Warianty tytułu

PL

Ontologia rdzeniowa dla wytwarzania i logistyki

• Języki publikacji: EN

Abstrakty

EN

Ontologies enjoy growing interest as facilitators for intra- and inter-organizational semantic integration of different management activities in the ICT and automation intensive industries. This work provides a proposal of core ontology that addresses the operational level of discrete manufacturing and logistics processes. Although only partial research results are presented, they go beyond published knowledge because they involve such important aspects of complexity as the spatiotemporal transformations, including the mereological one.

PL

Ontologie zyskują rosnące zainteresowanie jako narzędzie wewnątrz- i międzyorganizacyjnej integracji semantycznej w zarządzaniu tam, gdzie intensywnie wykorzystuje się informatyzację i automatyzację. W artykule przedstawiono propozycję ontologii rdzeniowej dla poziomu operacyjnego dyskretnych procesów wytwarzania i logistyki. Choć zaprezentowano tylko część wyników, to wykraczają one poza publikowaną wiedzę, gdyż ujęto takie aspekty złożoności, jak transformacje chwilowo-przestrzenne, w tym mereologiczne.

Słowa kluczowe

EN

manufacturing; logistics; ontology; changeability

PL

wytwarzanie; logistyka; ontologia; zmienność

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2014
• Tom: z. 73
• Strony: 603--618
• Opis fizyczny: Bibliogr. 28 poz.

Twórcy

autor

Strzelczak S

• Wydział Inżynierii Produkcji Politechnika Warszawska

Bibliografia

• 1. Wiendahl H.P., ElMaraghy H.A., Nyhuis P., Zäh M., Wiendahl H.H., Duffie N., Brieke M.: Changeable Manufacturing - Classification, Design and Operation, CIRP Annals, Vol. 56, No. 2, 2007, pp. 783-809.
• 2. Vrba P., Radakovič M., Obitko M., Mařik V.: Semantic technologies: Latest advances in agent-based manufacturing control systems, International Journal of Production Research, Vol. 49, No. 5, 2011, pp. 1483-1496.
• 3. Koren Y., Jovane F., Heisel U., Moriwaki T., Pritschow G., Ulsoy G., Van Brussel H.: Reconfigurable Manufacturing Systems, CIRP Annals, Vol. 48, No. 2, 1999, pp. 6-12.
• 4. Fumagalli L., Pala S., Garetti M., Negri E.: Ontology-based modeling of manufacturing and logistics systems for a new MES architecture, Proc. of the APMS 2014 Conference.
• 5. Chandrasekaran R., Josephson J.R., Benjamins V.R.: What are ontologies, and why do we need them? IEEE Transactions on Intelligent Systems, 1999/January-February, pp. 20-26.
• 6. McCulloch W.S.: A Hierarchy of Values Determined by a Topology of Nervous Nets, Bulletin of Mathematical Biophysics, No. 7, 1945, pp. 89-93.
• 7. Needs and requirements for future European manufacturing, Project no. 332946 of the EU ARTEMIS Program, Deliverable No. 2.1, 2013.
• 8. Gaps among industrial requirements and existing automation solutions, Project no. 332946 of the EU ARTEMIS Program, Deliverable No. 2.3, 2013.
• 9. Ontology-based system and method for industrial control, USA patent no. US8145333 B2, 2012.
• 10. Gruber T.R.: A translation approach to portable ontology specifications, Knowledge Acquisition, Vol. 5, No. 2, pp. 199-220.
• 11. Krupa T.: Elements of organization: resources and tasks (in Polish), WNT, 2006.
• 12. Seidewitz E.: What models mean, IEEE Transactions on Software Engineering, Vol. 20, No. 5, 2003, pp. 26-32.
• 13. Santarek K., Strzelczak S.: Flexible manufacturing systems (in Polish), WNT, 1989.
• 14. Grenon, P., Smith B.: SNAP and SPAN: Towards Dynamic Spatial Ontology, Spatial Cognition and Computation, Vol. 4 No. 1, 2004, pp. 69-103.
• 15. Lin Y., Liu S.F.: Grey information: Theory and Practical Applications, London, Springer 2006.
• 16. Hoehndorf R., Ngonga Ngomo A., Herre H.: Developing Consistent and Modular Software Models with Ontologies, [in:] Fujita H., Mařírk V. (eds.): Proc. of the 8th Int’l Conf. SoMeT_09, IOS Press Amsterdam 2009, pp. 399-412.
• 17. ANSI/ISA-88.00.01-2010 Batch Control Part 1: Models and Terminology.
• 18. ANSI/ISA-95.00.01-2000 Enterprise Control System Integration Part 1: Models and Terminology.
• 19. IEC 62264 Enterprise-control system integration, Part 1: Models and terminology, 2002.
• 20. Lin H.K, Harding J.A.: A manufacturing system engineering ontology model on the se-mantic web for inter-enterprise collaboration, Computers in Industry, Vol. 58, June 2007, pp. 428-437.
• 21. Soares A.L., Azevedo A.L., De Sousa J.P.: Distributed planning and control systems for the virtual enterprise: organizational requirements and development life-cycle, Journal of Intelligent Manufacturing, Vol. 11, No. 6, 2000, pp. 253–270.
• 22. Lemaignan S., Siadata A., Dantan J.-Y., Semenenko A.: Mason: A Proposal for an Ontology of Manufacturing Domain, [in:] Proc. of the IEEE Workshop on Distributed Intelligent Systems, 2006, pp. 195-200.
• 23. Dassisti M., Panetto H., Tursi A., De Nicolo M.: Ontology-Based Model for Production-Control Systems Interoperability, Proc. of the 5th CIRP Int’l Conference on Digital Enterprise Technology, 2008.
• 24. Cândido G., Barata J.A.: Multiagent Control System for Shop Floor Assembly. [in:] HoloMAS 2007, LNAI 4659, Springer, 2007, pp. 293-302.
• 25. Obitko M., Vrba P., Mařik V., Radakovič M., Kadera P.: Applications of Semantics in Agent-Based Manufacturing Systems, Informatica, Vol. 34, 2010, pp. 315–330.
• 26. Battista C., Giordano F., Iannone R., Schiraldi M.: A proposal for a standard framework for simulating and modelling manufacturing systems, [in:] Digiesi S., Mossa G., Mummolo G., Ranieri L. (ed): Sustainable Development: Industrial Practice, Education and Research, Vol. 2, 2010.
• 27. Garetti M., Fumagalli L.: P-PSO ontology for manufacturing systems, Proc. of the 14th IFAC Symposium on Information Control Problems in Manufacturing, 2012, pp. 247-254.
• 28. Fernández-Rañada M., Gurrola-Gal F.X., López-Tello E.: 3C. A Proven Alternative to MRP II for Optimizing Supply Chain Performance, Boca Raton: CRC Press (2000).