Abstract
We consider the single machine parallel-batching scheduling problem with precedence relations, release dates and identical processing times to minimize a regular objective function. When the processing times are unit, we give an O(n2) time optimal algorithm. When there are no precedence relations, we solve this problem by dynamic programming in O(n3) time. When the precedence relations are "layerly complete", we solve this problem by a dynamic programming algorithm that runs in O(n7) time. For the total weighted completion time minimization problem, we give an O(n2) time 32-approximation algorithm. For the makespan minimization problem, we give an O(n2) time optimal algorithm and an expression of the minimum makespan.
Original language | English |
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Pages (from-to) | 849-859 |
Number of pages | 11 |
Journal | Computers and Operations Research |
Volume | 32 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2005 |
Keywords
- Algorithms
- Batch processing
- Identical processing times
- Precedence constraints
- Release dates
- Scheduling
ASJC Scopus subject areas
- General Computer Science
- Modelling and Simulation
- Management Science and Operations Research