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Review of assembly sequence planning methods in terms of their applicability in shipbuilding processes

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article characterises the sea-going vessel hull assembly processes and then reviews the existing assembly methods of mechanisms and welded ship structures. Classification of these methods is done with respect to selected criteria of their applicability to hull assembly. Selected methods are used for calculations performed on a model structure and exemplary database. The analysed aspects include the performance of calculation algorithms and the quality of the obtained solutions. Particular attention is paid to the need for reduction of experts’ participation in the planning process due to strong search space explosion effect. The performed analyses have enabled the authors to formulate assumptions for models which would be applicable in real assembly planning in shipyards, as well as to indicate areas of further research which would make it possible to better consider the specificity of production of large-size welded structures.
Rocznik
Tom
S 1
Strony
124--133
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
  • West Pomeranian University of Technology in Szczecin, Poland
  • Maritime University of Szczecin, Faculty of Transport Engineering and Economics, Poland
autor
  • West Pomeranian University of Technology in Szczecin, Poland
autor
  • West Pomeranian University of Technology in Szczecin, Poland
Bibliografia
  • 1. Yun D. H., Choi S. I., Kim S. H., Ko K. H.: Registration of multi-view point clouds for application to ship fabrication, Graphical Models, Vol.90, pp. 1-12, 2017.
  • 2. Back M. –G., Lee D. –K., Shin J. –G., Woo J. –H.: A study for production simulation model generation system based on data model at a shipyard, International Journal of Naval Architecture and Ocean Engineering, Vol.8(5), pp. 496-510, 2016.
  • 3. Zhao-Hui W., Ji-Wang D., Ming-hua Z., Xiu-min F.: Survey on Flexible Shipbuilding Technologies for Curved Ship-Blocks, Procedia Engineering, Vol. 174, pp.800-807, 2017.
  • 4. Banerjee S. K.: Shipyard production systems design: a statistical approach, International journal of Production Research, Vol. 6, pp. 541-555, 1979.
  • 5. Cho K.-K., Sun J.-G., Oh J.-S.: An automated welding operation planning system for block assembly in shipbuilding, International Journal of Production Economics, 60-61, pp. 203–209, 1999.
  • 6. Chi Z., Jun S.: Intelligentized work-preparation for ship hull construction with Optimized Assembly Planning System, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13, pp. 2740–2744, 2010.
  • 7. Ghandi S., Masehian E.: Assembly sequence planning of rigid and flexible parts, Journal of Manufacturing Systems, Vol. 36, pp. 128-146, 2015.
  • 8. Iwańkowicz R.: Methods of sea-going ship hull assembly sequencing and scheduling, Collegiate Publication of the West Pomeranian University of Technology Szczecin, ISBN 978-83-7663-216-2, 2016.
  • 9. Robinson R.W.: Counting labeled acyclic digraphs, in: New directions in the theory of graphs, Ed. F. Harary, [b.m.], Academic Press, 239–273, ISBN-13 978-0123242556, ISBN- 10 012324255X, 1973.
  • 10. De Fazio T., Whitney D.: Simplified generation of all mechanical assembly sequences, IEEE Journal of Robotics and Automation, Vol. 3(6), pp. 640–658, 1987.
  • 11. Bourjault A.: Contribution a uneapprochemkthodologique de l’assemblage automatis: Elaboration automatique des sequences operatiores, These de doctorat, Université de Franche-Comte, 1984.
  • 12. Homem de Mello, L. S., and Sanderson, A. C.: AND/OR graph representation of assembly plans, IEEE Transactions on Robotics and Automation, Vol. 6, no. 2, pp. 188-199, 1986.
  • 13. Homem de Mello, L. S., and Sanderson, A. C.: Planning repair sequences using the And/Or graph representation of assembly plans, Proceedings of the 1988 IEEE International Conference on Robotics and Automation, Philadelphia, USA, pp. 1861-1862, 1988.
  • 14. Eng T.-H., Ling Z.-K., Olson W., McLean C.: Feature-based assembly modeling and sequence generation, Comput. Ind. Eng., Vol. 36, pp. 17-33, 1999.
  • 15. Voutchkov I., Keane A., Bhaskar A., Olsen T.M.: Weld sequence optimization: the use of surrogate models for solving sequential combinatorial problems, Computer Methods in Applied Mechanics and Engineering, vol. 194, pp. 3535–3551, 2005.
  • 16. Sasaki Y., Sonda M., Ito K.: Development of a computeraided process planning system based on a knowledge base, Journal of Marine Science and Technology, Vol. 7, pp. 175-179, 2010.
  • 17. Bonneville F., Perrard C., Henrioud J.M.: A genetic algorithm to generate and evaluate assembly plans, IEEE Symposium on Emerging Technology and Factory Automation, Vol. 2, pp. 231–239, 1995.
  • 18. Chen & Liu Chen S.F., Liu Y.J.: An adaptive genetic assembly-sequence planner, Int J Comput Integr Manuf, Vol. 14(5), pp. 489–500, 2001.
  • 19. Seo Y., Sheen D., Kim T.: Block assembly planning in shipbuilding using case-based reasoning. Expert Systems with Applications, Vol. 32, pp. 245–253, 2007.
  • 20. Qu S., Jiang Z., Tao N.: An integrated method for block assembly sequence planning in shipbuilding, The International Journal of Advanced Manufacturing Technology, Vol. 69 (5-8), pp. 1123–1135, 2013.
  • 21. Zhong Y., Xue K., Shi D.: Assembly unit partitioning for hull structure in shipbuilding, Computer- Aided Design, Vol. 45(12), pp. 1630–1638, 2013.
  • 22. Iwańkowicz R.: An efficient evolutionary method of assembly sequence planning for shipbuilding industry, Assembly Automation, Vol. 36(1), pp. 60-71, 2016.
  • 23. Iwańkowicz R.: Optimization of assembly plan for large offshore structures, Advances in Science and Technology – Research Journal, Vol. 6(16), pp. 31-36, 2012.
  • 24. Iwańkowicz R., Taraska M.: Self-classification of assembly database using evolutionary method, Assembly Automation, Vol. 38(1), 2017.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2f83ca7c-68a4-42f6-9343-3ba0cc1927b7
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