2003
DOI: 10.1016/s0378-4754(03)00050-8
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Resource constrained scheduling simulation model for alternative stochastic network projects

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Cited by 14 publications
(10 citation statements)
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“…Golenko-Ginzburg, Gonik and Laslo (2003), proposed a simulation process to solve a network project that include both alternative deterministic decision nodes and alternative branching nodes with probabilistic outcome. Later, Golenko-Ginzburg, Gonik and Baron (2006), analyzed simultaneous projects of PERT type and some resource scheduling models.…”
Section: Special Procedures Based On Simulation Processmentioning
confidence: 99%
“…Golenko-Ginzburg, Gonik and Laslo (2003), proposed a simulation process to solve a network project that include both alternative deterministic decision nodes and alternative branching nodes with probabilistic outcome. Later, Golenko-Ginzburg, Gonik and Baron (2006), analyzed simultaneous projects of PERT type and some resource scheduling models.…”
Section: Special Procedures Based On Simulation Processmentioning
confidence: 99%
“…Although some preliminary work has been conducted in stochastic scheduling, e.g., [45,46], it is not recommended based on two reasons. First, despite the studies analyzing the type of distributions for the parameters in RCPSP models [29,45,46], it remains difficult to determine which distribution the stochastic data should follow in software release planning. Second, the complexity of solving stochastic RCPSP problems turns out to be extremely high, so that the performance of the suggested approach will not be very satisfactory, and it is not possible to scale up [45].…”
Section: Adaptive Software Release Planningmentioning
confidence: 99%
“…Delays not cause by contractor nor employer is called irreversible delay. Some examples of this type are natural disasters and adverse weather (Golenko-Ginzburg et al, 2003). Delay is one of common events in projects.…”
Section: Introductionmentioning
confidence: 99%