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In order to derive a much simpler scheduling methodology, some usual features of multistage batch plants should be exploited.
In [4] it was presented a line balancing and scheduling methodology for the industrialization stage.
In this paper, a scheduling methodology which considers parts design characteristics is presented for parallel machines.
We also introduce a scheduling methodology to implement our model on highly parallel platforms and demonstrate our approach using a video decoder case study.
A new scheduling heuristic called dynamic level scheduling is proposed, which modifies the classical list scheduling methodology to account for IPC and synchronization overhead.
The objective of this research is to develop a robust scheduling methodology based on fuzzy set theory for uncertain product development projects.
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Despite recent advances, scheduling methodologies and decision support systems still need improvement, especially their computational efficiency, practical feasibility and use.
Current precast production scheduling methodologies have limited applicability in practice due to the neglect of real-world production circumstances.
Additionally, wind and wave-induced responses with different gain scheduling methodologies and the difference to the tests without blade-pitch control are discussed.
Some effort has been made to investigate the influence of different gain scheduling methodologies of the collective blade-pitch controller on the dynamic behavior of the floating wind turbine.
In this paper a modern gain-scheduling methodology is proposed which exploits recently developed velocity-based techniques to resolve many of the deficiencies of classical gain-scheduling approaches (restriction to near equilibrium operation, to slow rate of variation).
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