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Ship block assembly sequence planning considering productivity and welding deformation 원문보기

International journal of naval architecture and ocean engineering, v.10 no.4, 2018년, pp.450 - 457  

Kang, Minseok (Graduate School of Ocean Systems Engineering, Dept. of Mechanical Engineering, KAIST) ,  Seo, Jeongyeon (Graduate School of Ocean Systems Engineering, Dept. of Mechanical Engineering, KAIST) ,  Chung, Hyun (Department of Naval Architecture & Ocean Engineering, Chungnam National University)

Abstract AI-Helper 아이콘AI-Helper

The determination of assembly sequence in general mechanical assemblies plays an important role in terms of manufacturing cost, duration and quality. In the production of ships and offshore plants, the consideration of productivity factors and welding deformation is crucial in determining the optima...

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문제 정의

  • The weight factors are determined by case-based reasoning based on empirical factors and the sum of the weights is 1. The objective of this function is to find assembly sequences of minimal cost.
  • This paper proposes an assembly sequence planning method considering productivity and welding deformation in ship and offshore manufacturing in order to achieve higher quality and better productivity. The proposed method defines the part types for all parts in the target assembly based on case-based reasoning and takes into account constraints like part movement, part location, welding type and simultaneous welding conditions.
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참고문헌 (19)

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  2. Chen, W.C., Tai, P.H., Deng, W.J., Heieh, L.F., 2008. A three-stage integrated approach for assembly sequence planning using neural networks. Expert Syst. Appl. 32 (1), 245-253. 

  3. Cheng, R., Gen, M., Tsujimura, Y., 1996. A tutorial survey of job-shop scheduling problems using genetic algorithms-I. Represent. Comput. Ind. Engng 30 (4), 983-997. 

  4. Defazio, T.L., Whitney, D.E., 1987. Simplified generation of all mechanical assembly sequences. IEEE J. Robot. Autom. RA-3 (6), 640-658. 

  5. Ha, Y.S., 2011. A study on weldment boundary condition for elasto-plastic thermal distortion analysis of large welded structures. J. KWJS 29-4, 48-53. 

  6. Ha, Y.S., 2013. Analytical methodology obtaining an optimal welding sequence for least distortion of welded structure. JWJ 31 (3), 54-59. 

  7. Hardikar, K.D., Nidgalkar, D.J., Inamdar, K.H., 2012. Techniques to ensure minimum distortion of an assembly of metal parts induced due to the process of welding used for an assembly. IJSER 3 (2), 1-4. 

  8. Kim, H., Kang, J., Park, S., 2000. Scheduling of shipyard block assembly process using constraint satisfaction problem. Asia Pac. Mgmt. Rev. 7 (1), 119-138. 

  9. Kim, J.W., Jang, B.S., Kang, S.W., 2014a. A study on an efficient prediction of welding deformation for T-joint laser welding of sandwich panel PART II: proposal of a method to use shell element model. Int. J. Nav. Archit. Ocean. Eng. 6, 245-256. 

  10. Kim, T.J., Jang, B.S., Kang, S.W., 2014b. Welding deformation analysis based on improved equivalent strain method considering the effect of temperature gradients. Int. J. Nav. Archit. Ocean Eng. 7 (1), 157-173. 

  11. Kim, M.K., Kang, M.S., Chung, H., 2015a. Simplified welding distortion analysis for fillet welding using composite shell elements. IJNAOE 7 (3), 452-465. 

  12. Kim, T.J., Jang, B.S., Kang, S.W., 2015b. Welding deformation analysis based on improved equivalent strain method to cover external constraint during cooling stage. Int. J. Nav. Archit. Ocean. Eng. 7, 805-816. 

  13. Mula, J., Poler, R., Garcia-Sabater, J.P., Lario, F.C., 2006. Models for production planning under uncertainty: a review. Int. J. Prod. Econ. 103, 271-285. 

  14. Park, W., Kim, K.J., Won, S.T., 2013. Deformation and residual stress analysis of automotive frame following as welding sequency variation. Trans. Korean Soc. Automot. Eng. 21 (3), 50-57. 

  15. Shipeng, Q., Zuhua, J., Ningrong, T., 2013. An integrated method for block assembly sequence planning in shipbuilding. Int. J. Adv. Manuf. Tech. 69, 1123-1135. 

  16. Su, Q., 2014. Applying case-based reasoning in assembly sequence planning. Int. J. Prod. Res. 45, 29-47. 

  17. Wang, J., 2013. Reduction of welding distortion for an improved assembly process for hatch coaming production. SNAME 737-744. 

  18. Yasin, A., Puteh, N., Daud, R., 2010. Product assembly sequence optimization based on genetic algorithm. Int. J. Comput. Sce. Eng. Commun. 02 (09), 3065-3070. 

  19. Zhang, Y.Z., Ni, J., Lin, Z.Q., Lai, X.M., 2002. Automated sequencing and sub-assembly detection in automobile body assembly planning. J. Mater. Process. Technol. 129 (1-3), 490-494. 

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