The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Eliminating canceling edges from the simulation graph model methodology
WSC '96 Proceedings of the 28th conference on Winter simulation
A model-based framework to overlap product development activities
Management Science - Special issue on frontier research in manufacturing and logistics
Managing new product definition in highly dynamic environments
Management Science
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Extreme modeling: modeling design development in unpredictable environments
Proceedings of the 33nd conference on Winter simulation
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This paper describes a process, implemented using two simulation engines that adopt, respectively, the event scheduling paradigm and the activity scanning paradigm. The process being modeled is design development in an unpredictable environment. Unpredictability means that criteria are prone to change during design, thereby interrupting ongoing work and causing design iteration. Probability density curves, input to the simulation, capture uncertainties regarding design criteria during the development of R&D semiconductor fabrication facilities. The simulation of process changes calls for preempting tasks or events, and scheduling new tasks or events. The implementations in alternative modeling paradigms illustrates the use of a top-down vs. a bottom-up approach in process modeling. The two engines that were used, SIGMA and STROBOSCOPE, both are programmable so that the model could be implemented without difficulty in either one.