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We consider several two-agent scheduling problems with controllable job processing times, where agents A and B have to share either a single machine or two identical machines in parallel while processing their jobs. The processing times of the jobs of agent A are compressible at additional cost....
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We consider the problem of scheduling n tasks on two identical parallel processors. Task i has a processing time of one time unit, but might have to undergo processing for a second time unit with probability p<sub>i</sub>, i.e., the processing time distributions of the tasks have mass only on one and on...
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We consider stochastic models for flow shops, job shops and open shops in which the work required by job j is the same at each machine, being a random variable W<sub>j</sub>. Because machines operate at different speeds, S<sub>i</sub>, the processing time of job j at machine i is W<sub>j</sub>/S<sub>i</sub>,. It is the main result of this...
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We consider the problem of minimizing the expected makespan of n jobs with independent exponentially distributed processing times on two parallel machines, under resource constraints. Job j has expected processing time 1/\mu <sub>j</sub> and requires throughout its processing an amount r<sub>j</sub> of a resource; the...
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We address the scheduling of operations in a robotic cell that produces multiple part-types. The objective is to obtain a cyclic schedule--a sequence of robot moves and an ordering of the parts--that minimizes the long-run average time to produce a part or, equivalently, maximizes the...
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