Abstract
For a long time, shipbuilding industry has experienced suffering in the ship production from unexpected problems such as short-term delivery of ships, schedule changes, and deteriorating weather conditions, etc. Even though many researchers carried out various studies to improve their competitiveness as well as to detect problems in advance and present immediate solutions, it is still unresolved and very critical to maintain a cutting edge productivity of shipbuilding companies. In this paper, we propose a processbased production planning method to be capable to generate and evaluate a best alternative to an unexpected problem in ship production. The best alternative is generated, simulated and analyzed through a consecutive 4-steps, i.e., constraint structure modeling, work dispatching modeling, processbased modeling & simulation, and simulation-based analysis.
Original language | English |
---|---|
Title of host publication | 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018 |
Editors | Veronique Limere, Dieter Claeys |
Publisher | EUROSIS |
Pages | 82-87 |
Number of pages | 6 |
ISBN (Electronic) | 9789492859051 |
Publication status | Published - 2018 |
Event | 32nd Annual European Simulation and Modelling Conference, ESM 2018 - Ghent, Belgium Duration: 2018 Oct 24 → 2018 Oct 26 |
Publication series
Name | 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018 |
---|
Conference
Conference | 32nd Annual European Simulation and Modelling Conference, ESM 2018 |
---|---|
Country/Territory | Belgium |
City | Ghent |
Period | 18/10/24 → 18/10/26 |
Bibliographical note
Funding Information:This work was supported by National IT Industry Promotion Agency (NIPA) grant funded by the Korea government (MSIP) (S0607-18-1004, the development of the
Publisher Copyright:
© 2018 PDF-CONFERENCE. All rights reserved.
Keywords
- Cyber-physical system
- Process-based modeling & simulation
- Ship production planning
- Ship production system
- Shipbuilding
ASJC Scopus subject areas
- Modelling and Simulation