Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
428623 | Information Processing Letters | 2011 | 6 Pages |
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.