Name
Title | ||
|---|---|---|
Active Discrete Event Simulation Algorithm Using Probability Distribution of Shipbuilding Process |
Abstract | ||
|---|---|---|
Capacity planning plays an important role not only for master production plan but also for facility or layout design in shipbuilding. Product work breakdown structure attributes of production resources, and production method or process data are associated in order to make the discrete event simulation model of shipyard layout plan. The production amount of each process and the process time is assumed to be stochastic. Based on the stochastic discrete event simulation model, the production capacity of each facility in shipyard is estimated. The stochastic model of product arrival time, process time and transferring time is introduced for each process. Also, the production capacity is estimated for the assumed master production schedule. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICISA.2013.6579480 | Information Science and Applications |
Keywords | DocType | ISBN |
capacity planning (manufacturing),digital simulation,discrete event simulation,facilities layout,facilities planning,production engineering computing,shipbuilding industry,statistical distributions,virtual prototyping,devs,simyard simulation,active discrete event simulation,capacity planning,discrete event system specification,facility design,probability distribution,production planning,shipbuilding process,shipyard layout design,stochastic process,virtual shipyard,schedules,context modeling,production,solid modeling | Conference | 978-1-4799-0602-4 |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sung-Kwan Kang | 1 | 71 | 5.00 |
| Hoill Jung | 2 | 292 | 16.67 |
| il hyeok im | 3 | 1 | 0.35 |
| Kyung-Yong Chung | 4 | 1154 | 80.87 |
| Jung-Hyun Lee | 5 | 188 | 23.59 |