ESTONIAN ACADEMY
PUBLISHERS
eesti teaduste
akadeemia kirjastus
cover
Estonian Journal of Engineering
Evaluation of the operation expedience of technological resources in a manufacturing network; pp. 51–65
PDF | doi: 10.3176/eng.2011.1.06

Authors
Kaia Lõun, Jüri Riives, Tauno Otto
Abstract
Cost-effective manufacturing and technology-based manufacturing are basic keywords in contemporary manufacturing. Efficiency and productivity require extremely good job management, correlation of resources and competencies to production requirements, as well as continuous monitor­ing of possible wastes and additional expenditures, i.e. real efficiency of the continuous improvement process. In the current article the methodology of technological resources and competence management evaluation in terms of manufacturing system ontology are analysed in pre-order and post-order fulfilment stages. The expedience of resources operation and order outsourcing, but also corresponding risk management principles are analysed. The elaborated methodology enables enterprises to implement a more rational utilization of manufacturing resources by estimating the influence of existing competencies and technological possibilities into productivity and efficiency.
References

  1. Riives, J., Lõun, K. and Otto, T. Framework for extended use of technological resources in the network of enterprises. In Proc. 7th International DAAAM Baltic Conference “Industrial Engineering”, Tallinn, 2010.

  2. Riives, J., Otto, T. and Papstel, J. Monitoring of technological resources for extended usage. In Proc. 4th International DAAAM Conference “Industrial Engineering – Innovation as Competitive Edge for SME”, Tallinn, 2004.

  3. Lõun, K. Enhancement of Company’s Competitiveness by Using Process Approach. LAP Lambert Academic Publishing, 2010.

  4. Askin, R. G. and Stanridge, S. R. Modeling and Analysis of Manufacturing Systems. Wiley, 1993.

  5. Porter, M. E. Competitive Strategy: Techniques for Analyzing Industries and Competitors. Free Press, New York, 1980.

  6. Huang, G. Q., Lee, S. W. and Mak, K. L. Synchronized web applications for product develop­ment in the 21st century. Int. J. Adv. Manufact. Technol., 2001, 18, 605–613.
doi:10.1007/PL00003961

  7. Lin, H. K. and Harding, J. A. A manufacturing system engineering ontology model on the semantic web for inter-enterprise collaboration. Computers in Industry, 2007, 58, 428–437.
doi:10.1016/j.compind.2006.09.015

  8. Lin, H. K., Harding, J. A. and Shahbaz, M. Manufacturing system engineering ontology for semantic interoperability across extended project teams. Int. J. Production Res., 2004, 42, 5099–5118.
doi:10.1080/00207540412331281999

  9. Zhao, J., Cheung, W. M., Young, R. I. and Bell, R. An object oriented manufacturing data model for a global enterprise. In Proc. 15th International Conference on Computer Aided Production Engineering (CAPE’99), Durham, UK, 1999, 582–588.

10. Gaševiic, M., Djuric, D. and Devedžic, V. Model Driven Engineering and Ontology Develop­ment. Springer, 2009.

11. Allemang, D. and Hendler, J. Semantic Web for the Working Ontologist. Elsevier, 2007.

12. Otto, T., Riives, J. and Lõun, K. Productivity improvement through monitoring of human resources competence level. In DAAAM International Scientific Book, Vienna, 2008, 565–576.

13. Bell, S. Lean Enterprise Systems. Using IT for Continuous Improvement. Wiley, 2006.

14. Riives, J. and Otto, T. (eds). Innovative Development of Human Resources in Enterprise and Society. TUT Press, Tallinn, 2007.

15. Wang, L. D. An information-integrated framework to support e-Manufacturing. Int. J. Adv. Manufact. Technol., 2007, 32, 625–630.
doi:10.1007/s00170-005-0362-9

16. Lee, J. E-manufacturing – fundamental, tools, and transformation. Robotics Computer Integrated Manufact., 2003, 19, 501–507.
doi:10.1016/S0736-5845(03)00060-7

17. Worthington, S. L. S. and Boyes, W. E-business in Manufacturing: Putting the Internet to Work in the Industrial Enterprise. ISA, The Instrumentation, Systems, and Automation Society, 2002.
Back to Issue

Back issues