Article ID Journal Published Year Pages File Type
428623 Information Processing Letters 2011 6 Pages PDF
Abstract

We consider the bounded parallel-batch scheduling problem in which the processing time of a job is a simple linear function of its starting time. The objective is to minimize the makespan. When the jobs have identical release dates, we present an optimal algorithm for the single-machine problem and an fully polynomial-time approximation scheme for the parallel-machine problem. When the jobs have distinct release dates, we show that the single-machine problem is NP-hard and present an optimal algorithm for one special case.

► Minimizing of makespan parallel-batch scheduling with deteriorating jobs is considered. ► An optimal algorithm is presented for single-machine problem when jobs arrive simultaneously. ► An FPTAS is presented for multi-machine problem when jobs arrive simultaneously. ► We prove NP-hardness for single-machine problem when job arrive dynamic. ► An optimal algorithm is presented for one special case.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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