International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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System development for establishing shipyard mid-term production plans using backward process-centric simulation

  • Ju, Suheon (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Sung, Saenal (Hyundai Heavy Industry Co.) ;
  • Shen, Huiqiang (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Jeong, Yong-Kuk (Department of Sustainable Production Development, KTH Royal Institute of Technology) ;
  • Shin, Jong Gye (Department of Naval Architecture and Ocean Engineering, Seoul National University)
  • Received : 2019.02.15
  • Accepted : 2019.05.24
  • Published : 2020.12.31
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Abstract

In this paper, we propose a simulation method based on backward simulation and process-oriented simulation to take into account the characteristics of shipbuilding production, which is an order-based industry with a job shop production environment. The shipyard production planning process was investigated to analyze the detailed process, variables and constraints of mid-term production planning. Backward and process-centric simulation methods were applied to the mid-term production planning process and an improved planning process, which considers the shipbuilding characteristics, was proposed. Based on the problem defined by applying backward process-centric simulation, a system which can conduct Discrete Event Simulation (DES) was developed. The developed mid-term planning system can be linked with the existing shipyard Advanced Planning System (APS). Verification of the system was performed with the actual shipyard mid-term production data for the four ships corresponding to a one-year period.

Keywords

Acknowledgement

The national project "Development of the Simulation-Based Production Management System for Middle-Sized Shipbuilding Companies" (no. 10050495), which is supported by the industry core technology development business of the Ministry of Trade, Industry and Energy (Rep. of Korea), supported this research. The national project “Development of Smart Factory with Artificial Intelligent Forming Machine” (no. 10077588), which is supported by the industry core technology development business of the Ministry of Trade, Industry and Energy (Rep. of Korea), supported this research. This research was also a product of the “Development of Production Strategy for Optimizing Cost of Marine Ships and Execution Simulation Technology” (no. S1106-16-1020) of the ICT Convergence Industry 4.0S (Naval Architecture & Ocean Engineering) Technology Development Projects supported by the Ministry of Science, ICT and Future Planning (Rep. of Korea).

References

  1. Cho, K.K., Oh, J.S., Ryu, K.R., Choi, H.R., 1998. An integrated process planning and scheduling system for block assembly in shipbuilding. CIRP Annal. 47 (1), 419-422. https://doi.org/10.1016/S0007-8506(07)62865-0
  2. Jeong, K.Y., 2000. Conceptual frame for development of optimized simulation-based scheduling systems. Expert Syst. Appl. 18 (4), 299-306. https://doi.org/10.1016/S0957-4174(00)00011-7
  3. Jeong, Y.K., Woo, J.H., Oh, D.K., Shin, J.G., 2016. A shipyard simulation system using the process-centric simulation modeling methodology: case study of the simulation model for the shipyard master plan validation. Korean J. Comp. Des. Eng. 21 (2), 204-214. https://doi.org/10.7315/CADCAM.2016.204
  4. Kim, H., Lee, S.S., Park, J.H., Lee, J.G., 2005. A model for a simulation-based shipbuilding system in a shipyard manufacturing process. Int. J. Comput. Integr. Manuf. 18 (6), 427-441. https://doi.org/10.1080/09511920500064789
  5. Koenig, P.C., Narita, H., Baba, K., 2002. Lean production in the Japanese shipbuilding industry. J. Ship Prod. 18 (3), 167-174. https://doi.org/10.5957/jsp.2002.18.3.167
  6. Kutanoglu, E., Sabuncuoglu, I., 2001. Experimental investigation of iterative simulation-based scheduling in a dynamic and stochastic job shop. J. Manuf. Syst. 20 (4), 264-279. https://doi.org/10.1016/S0278-6125(01)80046-7
  7. Lee, J.K., Lee, K.J., Hong, J.S., Kim, W., Kim, E.Y., Choi, S.Y., Kim, H.D., Yang, O.R., Choi, H.R., 1995. Das: Intelligent scheduling systems for shipbuilding. AI Mag. 16(4), 78-94.
  8. Lee, J.K., Lee, K.J., Park, H.K., Hong, J.S., Lee, J.S., 1997. Developing scheduling systems for Daewoo Shipbuilding: DAS project. Eur. J. Oper. Res. 97 (2), 380-395. https://doi.org/10.1016/S0377-2217(96)00205-6
  9. Lee, D.K., Kim, Y., Hwang, I.H., Oh, D.K., Shin, J.G., 2014. Study on a process-centric modeling methodology for virtual manufacturing of ships and offshore structures in shipyards. Int. J. Adv. Manuf. Technol. 71 (1-4), 621-633. https://doi.org/10.1007/s00170-013-5498-4
  10. Liu, Z., Chua, D.K.H., Yeoh, K.W., 2011. Aggregate production planning for shipbuilding with variation-inventory trade-offs. Int. J. Prod. Res. 49 (20), 6249-6272. https://doi.org/10.1080/00207543.2010.527388
  11. Lynch, N., Vaandrager, F., 1995. Forward and backward simulations. Inf. Comput. 121(2), 214-233. https://doi.org/10.1006/inco.1995.1134
  12. Musselman, K., O'Reilly, J., Duket, S., 2002. Supply chain planning: the role of simulation in advanced planning and scheduling. In: Proc. 2002 Winter Simul. Conf., pp. 1825-1830.
  13. Nam, S.H., Shen, H.Q., Ryu, C.H., Shin, J.G., 2018. SCP-Matrix based shipyard APS design: application to long-term production plan. Int. J. Nav. Archit. Ocean. Eng. 10 (6), 741-761. https://doi.org/10.1016/j.ijnaoe.2017.10.003
  14. Neumann, R.J., McQuaide, D.J., 1991. Implementation of PC-Based Project Management in an Integrated Planning Process (The National Shipbuilding Research Program) (No. NSRP-0340). National Steel And Shipbuilding Co., San Diego, CA.
  15. Park, B.C., Park, E.S., Choi, B.K., Kim, B.H., Lee, J.H., 2008. Simulation based planning and scheduling system for TFT-LCD fab. In: Proc. 2002 Winter Simul. Conf., pp. 2271-2276.
  16. Seo, J.C., Chung, Y.H., Kim, B.H., Park, S.C., 2016. Backward capacity-filtering for electronics Fabs. Prod. Plann. Contr. 27 (11), 925-933. https://doi.org/10.1080/09537287.2016.1164349
  17. Spicknall, M.H., 1997. Scheduling Methods for Ship Build Strategy Development. Literature Search and Research Report.
  18. Watson, E.F., Medeiros, D.J., Sadowski, R.P., 1995. Order-release planning using variable lead times based on a backward simulation model. Int. J. Prod. Res. 33(10), 2867-2888. https://doi.org/10.1080/00207549508904850
  19. Woo, J.H., Lee, K.K., Jung, H.R., Kwon, Y.D., Shin, J.G., 2005. A framework of plant simulation for a construction of a digital shipyard. J. Soc. Nav. Archit. Korea 42(2), 165-174. https://doi.org/10.3744/SNAK.2005.42.2.165
  20. Zhu, D.F., Zheng, Z., Gao, X.Q., 2010. Intelligent optimization-based production planning and simulation analysis for steelmaking and continuous casting process. Int. J. Iron Steel Res. 17 (9), 19-30.

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