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• W2077396987 abstract "Abstract We extend the classical scheduling problem of minimizing the number of tardy jobs in a single-machine to the case where the job processing times are controllable by allocating a continuous and non-renewable resource to the processing operations. Our aim is to construct an efficient trade-off curve between the number of tardy jobs and total resource consumption using a bicriteria approach. Most of the research on scheduling with controllable resource-dependent processing times is done either to a linear resource consumption function or to a specific type of convex resource consumption function. We, in contrast, analyze the problem for a more general type of convex decreasing resource consumption function, which guarantees a very robust analysis that can be applied to a wide range of problems. We present four different variations of the problem and prove them to be NP -hard. We then present a polynomial time algorithm to solve an important special case of the problem and also suggest and compare the performances of three different heuristic algorithms." @default.
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• W2077396987 date "2009-06-01" @default.
• W2077396987 modified "2023-09-26" @default.
• W2077396987 title "A bicriteria approach to minimize number of tardy jobs and resource consumption in scheduling a single machine" @default.
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• W2077396987 doi "https://doi.org/10.1016/j.ijpe.2009.03.003" @default.
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