1993
DOI: 10.1016/0166-218x(90)90055-h
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Capacitated two-parallel machines scheduling to minimize sum of job completion times

Abstract: 2016-12-26T14:59:35

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Cited by 87 publications
(30 citation statements)
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“…They give a simpler proof of NP-hardness and find a tight performance bound of 9/7 for the SPT rule. Lee and Liman [11] also consider the scheduling problem of minimizing total completion time with two parallel machines where one machine is always available and the other is available from time zero up to a fixed point in time. They give the NP-hardness proof for the problem and provide a pseudo-polynomial dynamic programming solution.…”
Section: Introductionmentioning
confidence: 99%
“…They give a simpler proof of NP-hardness and find a tight performance bound of 9/7 for the SPT rule. Lee and Liman [11] also consider the scheduling problem of minimizing total completion time with two parallel machines where one machine is always available and the other is available from time zero up to a fixed point in time. They give the NP-hardness proof for the problem and provide a pseudo-polynomial dynamic programming solution.…”
Section: Introductionmentioning
confidence: 99%
“…Lee [13] studies a parallel-machine problem where machines are available starting from different times. Lee and Liman [18] consider a two-parallel-machine problem where one machine has an availability constraint. Mosheiov [20] studies the same problem by assuming that each machine is available during an interval.…”
Section: Introductionmentioning
confidence: 99%
“…Lee [16] studies the problem of parallel identical machine scheduling with nonsimultaneous machine available times at the beginning of the planning horizon. Lee and Liman [22] study the two-parallel-machine scheduling problem for minimizing total completion time where one machine has an availability constraint. Mosheiov [27] studies the same problem by assuming that each machine is available in an interval.…”
Section: Introductionmentioning
confidence: 99%