Initial plan of shipbuilding capacity based on the stochastic discrete event simulation

Proceedings of the International Offshore and Polar Engineering Conference

Volumn , Issue , 2013, Pages 713-720

  Kim, KwangSik ^a   Lee, JangHyun ^a   Hwang, HoJin ^b  

^a Inha University   (South Korea)

^b Korea Institute of Ocean Science and Technology (KIOST)   (South Korea)

Author keywords

DEVS (discrete event system); IHOP (integrated hull outfitting plan); Master production schedule; PPR S (product; Process; Production capacity; PWBS (product work breakdown structure); Resource; Schedule); Ship production

Indexed keywords

DEVS (DISCRETE EVENT SYSTEM); MASTER PRODUCTION SCHEDULE; PRODUCTION CAPACITY; SHIP PRODUCTION; WORK BREAKDOWN STRUCTURE;

DISCRETE EVENT SIMULATION; PROCESSING; PRODUCTION CONTROL; SCHEDULING; SHIPBUILDING; SHIPS; SHIPYARDS; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

EID: 84883715110     PISSN: 10986189     EISSN: 15551792     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Bolduc JS and Hans VA (2002). Modelling and simulation package for classic hierarchical DEVS, Technical report, McGill University, School of Computer Science.
2. Chabane, H (2004). Design of a Small Shipyard Facility Layout Optimised for Production and Repair, Symposium International: Qualite et Maintenance au Service de I'Enterprise QUALIMA01- Tlemecen.
3. Dain, O and Pardoe, I, (2006) Stochastic shipyard simulation with SIMYARD, Proceeding of 2006 Winter Simulation Conference, Monterey, CA, USA, pp. 1770-1778.
4. Kim, KS, Hwang, HJ and Lee, JH (2012). Discrete event simulation for the initial capacity estimation of shipyard based on the master production schedule, Transactions of the Society of CAD/CAM Engineers, Vol. 17, pp. 111-122.
5. Kofman, E (2003). Quantized-State Control. A Method for Discrete Event Control of Continuous Systems. Latin American Applied Research, Vol. 33, pp. 399-406.
6. Lee, CJ, Lee, JH, Woo, JH, Shin, JG, and Ryu, CH, (2007). A Study on Discrete Event Simulation of Shipyard Outdoor Block Movement, Journal of the Society of Naval Architects of Korea, Vol. 44, pp. 647- 656.
7. Nedeβ, C, Friedewald, A, Wanger, L and Hubler, M, (2006). Simulation of material flow processes in the planning of production spaces on shipbuilding, The 5th International Conference on Computer Applications.
8. Oliver, D and Iran, P (2006), Stochastic Shipyard Simulation With SIMYARD, proceeding of the 2006 winter simulation conference, pp.1770-1778.
9. Posse, E and Bolduc, JS (2003). Generation of DEVS Modeling and Simulation Environments, Proceedings of the 2003 Summer Simulation MultiConference.
10. Song, YJ, Lee, DK, Choe SW., Woo, JH, and Shin JG (2009). A Simulation-Based Capacity Analysis of a Block-Assembly Process in Ship Production Planning, Journal of the Society of Naval Architects of Korea, Vol. 46, pp. 78-86.
11. Shin, JG, Lee, JH and Woo, JH (2001). Digital Shipbuilding, Bulletin of the Society of Naval Architects of Korea, Vol. 38, pp. 54-61.
12. Woo, JH, Oh, DK, Lee, CJ, Choi, YR. and Shin, JG, (2006). Simulation Modeling Methodology and Simulation System Architecture for Shipbuilding Processes, Transactions of the Society of CAD/CAM Engineers, Vol. 11(1), pp. 11-19.
13. Yoon, TH, Lee, HY and Kang, YW (2009). An application of Digital Virtual Factory and Process Simulation for shipbuilding assembly shop, Proceedings of the Society of CAD/CAM Conference, PyeongChang, Korea, pp.475-481.
14. Zeigler, BP (2005). DEVS Today: Recent Advances in Discrete Event- Based Information Technology, Arizona Center for Integrative Modeling & Simulation, University of Arizona, USA.
15. Zeigler, BP and Sarjouhian, HS (2003). Introduction to DEVS modeling and simulation with JAVA™: Developing Component-based Simulation Models. Theory of Modeling and Simulation, Academic Press.