Abstract
We consider a two-machine open shop problem in which the job processing times are controllable and can be compressed while incurring additional costs. We show that the problem of minimizing a linear compression cost function for a given upper bound on the makespan can be solved in O (n) time. For the bicriteria problem of minimizing the makespan and compression cost, we propose an O (n log n) algorithm that finds all breakpoints of the efficient frontier.
Original language | English |
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Pages (from-to) | 175-184 |
Number of pages | 10 |
Journal | Discrete Optimization |
Volume | 4 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jun 2007 |
Keywords
- Controllable processing times
- Knapsack problem
- Open shop scheduling
- Resource allocation problem
ASJC Scopus subject areas
- Theoretical Computer Science
- Computational Theory and Mathematics
- Applied Mathematics