International Journal of Naval Architecture and Ocean Engineering

  • 제8권5호
  • /
  • Pages.496-510
  • /
  • 2016
  • /
  • 2092-6782(pISSN)
  • /
  • 2092-6790(eISSN)
대한조선학회 (The Society of Naval Architects of Korea)
권호 표지
DOI QR코드

DOI QR Code

A study for production simulation model generation system based on data model at a shipyard

  • Back, Myung-Gi (Dept. of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Lee, Dong-Kun (Dept. of Naval Architecture and Ocean Engineering, Mokpo National Maritime University) ;
  • Shin, Jong-Gye (Dept. of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Woo, Jong-Hoon (Dept. of Naval Architecture and Ocean Systems Engineering, Korea Maritime and Ocean University)
  • 투고 : 2015.06.30
  • 심사 : 2016.05.02
  • 발행 : 2016.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Simulation technology is a type of shipbuilding product lifecycle management solution used to support production planning or decision-making. Normally, most shipbuilding processes are consisted of job shop production, and the modeling and simulation require professional skills and experience on shipbuilding. For these reasons, many shipbuilding companies have difficulties adapting simulation systems, regardless of the necessity for the technology. In this paper, the data model for shipyard production simulation model generation was defined by analyzing the iterative simulation modeling procedure. The shipyard production simulation data model defined in this study contains the information necessary for the conventional simulation modeling procedure and can serve as a basis for simulation model generation. The efficacy of the developed system was validated by applying it to the simulation model generation of the panel block production line. By implementing the initial simulation model generation process, which was performed in the past with a simulation modeler, the proposed system substantially reduced the modeling time. In addition, by reducing the difficulties posed by different modeler-dependent generation methods, the proposed system makes the standardization of the simulation model quality possible.

키워드

참고문헌

  1. Alfeld, L.E., Pilliod, C.S., Wilkins, J.R., 1998. The virtual shipyard: a simulation model of the shipbuilding process. J. Ship Prod. 14 (1), 33-40.
  2. Back, M.G., Kim, Y.G., Hwang, I.H., Lee, K.K., Ryu, C.H., Shin, J.G., 2013. Design and development of scenario-based simulation system to improve shipbuilding execution scheduling assessment : a case study on panel line. Trans. Soc. CAD/CAM Eng. 18 (3), 211-223.
  3. Harward, G., Harrell, C., 2006. Assessment of the NIST shop data model as a neutral file format. In: Proceedings of the 2006 Winter Simulation Conference, Monterey, USA, pp. 941-946.
  4. Hwang, I.H., Song, J.K., Back, M.G., Ryu, C.H., Lee, K.K., Shin, J.G., 2013. Development of shipbuilding execution scheduling support system using mobile device : a case study for a panel block assembly shop. J. Soc. Nav. Archit. Korea 50 (4), 262-271. https://doi.org/10.3744/SNAK.2013.50.4.262
  5. Johansson, M., Johansson, B., Sjoogh, A., Leong, S., Riddick, F., Lee, Y.T., Shao, G., Klingstam, P., 2007. A test implementation of the core manufacturing simulation data specification. In: Proceedings of the 2007 Winter Simulation Conference, Washington, USA, pp. 1673-1681.
  6. Kang, H.S., 2007. A Study on the Automated Generation of Simulation Model Based on PPR Information. Dissertation. Sungkyunkwan University.
  7. Lee, C.J., Lee, J.H., Woo, J.H., Shin, J.G., Ryu, C.,H., 2007. A study on discrete event simulation of shipyard outdoor block movement. J. Soc. Nav. Archit. Korea 44 (6), 647-656. https://doi.org/10.3744/SNAK.2007.44.6.647
  8. Lee, D.K., Back, M.G., Lee, K.K., Park, J.S., Shin, J.G., 2013. Study on simulation model generation of a shipyard panel block shop using a neutral data format for production information. J. Soc. Nav. Archit. Korea 50 (5), 314-323. https://doi.org/10.3744/SNAK.2013.50.5.314
  9. Lee, D.K., Kim, Y.M., Hwang, I.H., Oh, D.K., Shin, J.G., 2014. Study on a process-centricmodelingmethodology for virtual manufacturing of ships and offshore structures in shipyards. Int. J. Adv. Manuf. Technol. 71, 621-633. https://doi.org/10.1007/s00170-013-5498-4
  10. Lee, J.H., Kim, S.H., Lee, K.H., 2011a. Integration of evolutional BOMs for design of ship outfitting equipment. Comput. Aided Des. 44 (3), 253-273. https://doi.org/10.1016/j.cad.2011.07.009
  11. Lee, J.Y., Kang, H.S., Noh, S.D., Woo, J.H., Lee, P.L., 2011b. NESIS: a neutral schema for a web-based simulation model exchange service across heterogeneous simulation software. Int. J.Comput. Integr.Manuf. 24 (10), 948-969. https://doi.org/10.1080/0951192X.2011.608726
  12. Lu, R.F., Qiao, G., McLean, C., 2003. Nist XML simulation interface specification at boeing : a case study. In: Proceedings of the 2003 Winter Simulation Conference, LA, USA, pp. 1230-1237.
  13. Oh, D.K., Shin, J.G., Choi, Y.R., Yao, Y.H., 2009. Development of a naval ship product model and management system. J. Soc. Nav. Archit. Korea 46 (1), 43-56. https://doi.org/10.3744/SNAK.2009.46.1.043
  14. Song, Y.J., Lee, D.G., Choe, S.W., Shin, J.G., 2009. A simulation-based capacity analysis of a block-assembly process in ship production planning. J. Soc. Nav. Archit. Korea 46 (1), 78-86. https://doi.org/10.3744/SNAK.2009.46.1.078
  15. Song, Y.J., Woo, J.H., Shin, J.G., 2011. Research on systematization and advancement of shipbuilding production management for flexible and agile response for high value offshore platform. Int. J. Nav. Archit. Ocean Eng. 3 (3), 181-192. https://doi.org/10.2478/IJNAOE-2013-0061
  16. Sly, D., Moorthy, S., 2001. Simulation data exchange (SDX) implementation and use. In: Proceedings of the 2001 Winter Simulation Conference, Arlington, USA, pp. 1473-1477.
  17. Watson, E.F., Medeiros, D.J., Sadowski, R.P., 1997. A simulation-based backward planning approach for order-release. In: Proceedings of the 1997 Winter Simulation Conference, Atlanta, USA, pp. 765-772.
  18. Wang, P., Mohamed, Y., Abourizk, S.M., Rawa, A.T., 2009. Flow production of pipe spool fabrication: simulation to support implementation of lean technique. J. Constr. Eng. Manag. 135 (10), 1027-1038. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000068
  19. Whitehead, K., 2002. Component-based Development: Principles and Planning for Business Systems. Pearson Education, London.
  20. 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
  21. Woo, J.H., Song, Y.J., Shin, J.G., 2009. Research on a simulation-based ship production support system for middle-sized shipbuilding companies. Int. J. Nav. Archit. Ocean Eng. 1, 70-77. https://doi.org/10.2478/IJNAOE-2013-0009
  22. Woo, J.H., 2005. Modeling and Simulation of Indoor Shop System of Shipbuilding by Integration of the Product, Process, Resource and Schedule Information. Dissertation. Seoul National University.

피인용 문헌

  1. Digitization in maritime logistics-What is there and what is missing? vol.4, pp.1, 2017, https://doi.org/10.1080/23311975.2017.1411066
  2. Review of Assembly Sequence Planning Methods in Terms of Their Applicability in Shipbuilding Processes vol.25, pp.1, 2016, https://doi.org/10.2478/pomr-2018-0033
  3. SCP-Matrix based shipyard APS design: Application to long-term production plan vol.10, pp.6, 2016, https://doi.org/10.1016/j.ijnaoe.2017.10.003
  4. Analytical Solution of the serial Bernoulli production line steady-state performance and its application in the shipbuilding process vol.57, pp.4, 2016, https://doi.org/10.1080/00207543.2018.1500042
  5. Big size highly customised product manufacturing systems: a literature review and future research agenda vol.57, pp.15, 2019, https://doi.org/10.1080/00207543.2019.1582819
  6. Modeling languages in Industry 4.0: an extended systematic mapping study vol.19, pp.1, 2016, https://doi.org/10.1007/s10270-019-00757-6
  7. Estimating Production Metric for Ship Assembly Based on Geometric and Production Information of Ship Block Model vol.9, pp.1, 2016, https://doi.org/10.3390/jmse9010039