Abstract
In this paper, we describe an exact algorithm to solve the weighted number of tardy jobs two-machine flow shop scheduling problem. The algorithm uses branch-and-bound; a surrogate relaxation resulting in a multiple-choice knapsack provides the bounds. Extensive computational experiments indicate problems with 100 jobs can be solved quickly. Scope and purpose In many industrial sectors, satisfying due dates is a critical issue. Thus, lateness-related measures such as the (weighted) number of tardy jobs are relevant performance measures of schedules in these industries. Our paper studies the weighted number of tardy jobs two-machine flow shop problem, and proposes an exact algorithm that solves large problems.
Original language | English |
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Pages (from-to) | 1887-1900 |
Number of pages | 14 |
Journal | COMPUTERS AND OPERATIONS RESEARCH |
Volume | 30 |
Issue number | 12 |
DOIs | |
Publication status | Published - Oct 2003 |
Keywords
- Branch-and-bound
- Combinatorial optimization
- Scheduling
- Surrogate relaxation