[1. M. Suszyński, M. Rogalewicz, ‘Selection of an Industrial Robot for Assembly Jobs Using Multi-Criteria Decision Making Methods’, Management and Production Engineering Review. 2020, doi: 10.24425/mper.2020.]Open DOISearch in Google Scholar
[2. R. Iwańkowicz and R. Rutkowski, ‘Assembly Management in the Shipyard Using a Welding Database’, in: Application of Computational Methods in Engineering Science. Wydawnictwo Politechniki Lubelskiej, Lublin 2019.]Search in Google Scholar
[3. M. Deja, M. S. Siemiatkowski, and D. Zielinski, ‘Multi-criteria comparative analysis of the use of subtractive and additive technologies in the manufacturing of offshore machinery components’, Polish Maritime Research. 2020, doi: 10.2478/pomr-2020-0048.]Open DOISearch in Google Scholar
[4. X. Li, Z. Zhu, Y. Li, and Z. Hu, ‘Design and Mechanical Analysis of a Composite T-Type Connection Structure for Marine Structures’, Polish Maritime Research. 2020, doi: 10.2478/pomr-2020-0036.]Open DOISearch in Google Scholar
[5. R. Iwańkowicz, ‘An efficient evolutionary method of assembly sequence planning for shipbuilding industry’, Assembly Automation. 2016, doi: 10.1108/AA-02-2015-013.]Open DOISearch in Google Scholar
[6. M. Kang, J. Seo, and H. Chung, ‘Ship block assembly sequence planning considering productivity and welding deformation’, International Journal of Naval Architecture and Ocean Engineering. 2017, doi: 10.1016/j.ijnaoe.2017.09.005.]Open DOISearch in Google Scholar
[7. D. Kolich, R. L. Storch, and N. Fafandjel, ‘Lean built-up panel assembly in a newbuilding shipyard’, Journal of Ship Production and Design. 2018, doi: 10.5957/JSPD.170007.]Open DOISearch in Google Scholar
[8. A. Oliveira, and J. M. Gordo, ‘Lean tools applied to a shipbuilding panel line assembling process’, Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike. 2018, doi: 10.21278/brod69404.]Open DOISearch in Google Scholar
[9. F. Bonneville, C. Perrard, and J. M. Henrioud, ‘A genetic algorithm to generate and evaluate assembly plans’, IEEE Symposium on Emerging Technology and Factory Automation. 1995, doi: 10.1109/ETFA.1995.496663.]Open DOISearch in Google Scholar
[10. S.F. Chen and Y.J. Liu, ‘An adaptive genetic assembly-sequence planner’, International Journal of Computer Integrated Manufacturing. 2001, doi: 10.1080/09511920110034987.]Open DOISearch in Google Scholar
[11. R. Schank, Dynamic memory: A theory of reminding and learning in computers and people. Cambridge University Press, 1982.]Search in Google Scholar
[12. J. Kolodner, ‘Reconstructive memory, a computer model’. Cognitive Science. 1983, doi: 10.1016/S0364-0213(83)80002-0.]Open DOISearch in Google Scholar
[13. A. Aamodt and E. Plaza, ‘Case-based reasoning: Foundational issues, methodological variations, and aystem approaches’, AI Communications. IOS Press. 1994, doi: 10.3233/AIC-1994-7104.]Open DOISearch in Google Scholar
[14. Q. Shipeng, J. Zuhua, and T. Ningrong, ‘An integrated method for block assembly sequence planning in shipbuilding’, The International Journal of Advanced Manufacturing Technology. 2013, doi: 10.1007/s00170-013-5087-6.]Open DOISearch in Google Scholar
[15. K.K. Cho, S.H. Lee, and D.S. Chung, ‘An automatic process-planning system for block assembly in shipbuilding’, Annals of the CIRP. 1996, doi: 10.1016/S0007-8506(07)63013-3.]Open DOISearch in Google Scholar
[16. K.K. Cho, J.G. Sun, and J.S. Oh, ‘An automated welding operation planning system for block assembly in shipbuilding’, International Journal of Production Economics. 1999, doi: 10.1016/S0925-5273(98)00151-0.]Open DOISearch in Google Scholar
[17. S. Qu, Z. Jiang, and N. Tao, ‘An integrated method for block assembly sequence planning in shipbuilding’, The International Journal of Advanced Manufacturing Technology. 2013, doi: 10.1007/s00170-013-5087-6.]Open DOISearch in Google Scholar
[18. Y. Seo, D. Sheen, and T. Kim, ‘Block assembly planning in shipbuilding using case-based reasoning’, Expert Systems with Applications. 2007, doi: 10.1016/j.eswa.2005.11.013]Open DOISearch in Google Scholar
[19. J.C. Bezdek, ‘Pattern recognition with fuzzy objective function algorithms’, Plenum Press, New York. 1981, doi: 10.1007/978-1-4757-0450-1.]Open DOISearch in Google Scholar
[20. M.J. Khan and C. Khan, ‘Performance evaluation of fuzzy clustered case-based reasoning’, Journal of Experimental & Theoretical Artificial Intelligence. 2020, doi: 10.1080/0952813X.2020.1744194.]Open DOISearch in Google Scholar