Title :
Stochastic Shipyard Simulation with Simyard
Author :
Dain, Oliver ; Ginsberg, Matthew ; Keenan, Erin ; Pyle, John ; Smith, Tristan ; Stoneman, Andrew ; Pardoe, Iain
Author_Institution :
On Time Syst., Eugene, OR
Abstract :
SimYard is a stochastic shipyard simulation tool designed to evaluate the labor costs of executing different schedules in a shipyard production environment. SimYard simulates common production problems such as task delays and labor shortages. A simulated floor manager reacts to problems as they arise. Repeatedly simulating multiple schedules allows the user to compare the schedules on many different metrics, such as expected labor costs and the probability of missing the deadline. A SimYard simulation is driven by many inputs that describe the shipyard being simulated. Determining the correct values for these inputs can be framed as a multivariate calibration problem, which can be solved using inverse regression methods. Predictive sampling from the resulting model provides an appropriate adjustment for statistical uncertainty
Keywords :
digital simulation; inverse problems; production engineering computing; regression analysis; sampling methods; shipbuilding industry; SimYard; inverse regression methods; labor costs; labor shortages; predictive sampling; statistical uncertainty; stochastic shipyard simulation; task delays; Costs; Delay; Floors; Input variables; Marine vehicles; Production; Robustness; Software tools; Stochastic processes; Welding;
Conference_Titel :
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location :
Monterey, CA
Print_ISBN :
1-4244-0500-9
Electronic_ISBN :
1-4244-0501-7
DOI :
10.1109/WSC.2006.322954