Discrete simulation development for a proposed shipyard steel processing facility
Proceedings of the 33nd conference on Winter simulation
Database driven factory simulation: a proof-of-concept demonstrator
Proceedings of the 33nd conference on Winter simulation
Simulation standards: a framework for standard modular simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Virtual assembly operations with grasp and verbal interaction
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Integrating operations simulation results with an immersive virtual reality environment
WSC '04 Proceedings of the 36th conference on Winter simulation
Intelligent modeling and simulation of flexible assembly systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Temporally parallel coupling of discrete simulation systems with virtual reality systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Geist3D, a simulation tool for geometry-driven petri nets
ICATPN'06 Proceedings of the 27th international conference on Applications and Theory of Petri Nets and Other Models of Concurrency
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This paper presents our work on the application of virtual-reality simulation to the design of a production line for a mechanically-assembled product. The development of this simulation was undertaken as a part of the Manufacturing Simulation and Visualization Program at the National Institute of Standards and Technology in Gaithersburg, MD. The major research problem is the partitioning and analysis of the assembly operation of the prototype product into different tasks and allocation of these tasks to different assembly workstations. Issues such as cycle times, material handling and assembly line balancing complicate the problem. This paper demonstrates the difficulties of using simulation modeling for concurrent graphical simulation of assembly operations and discrete event analysis of a production process in the same model. It also points out the need to speed up the modeling process and reduce the level of effort required in the construction of a simulation model.