Abstract
The single-machine tardiness problem with sequence dependent setup times is a core topic for scheduling studies. Tardiness is actually a difficult criterion to deal with, even in a relatively simple manufacturing system, such as a single-machine is strongly NP-hard. Motivated by the computational complexity of this problem, a simple iterated greedy (IG) heuristic is proposed to solve it. To validate and verify the proposed IG heuristic, computational experiments were conducted on three benchmark problem sets that included weighted and un-weighted tardiness problems. The experiment results clearly indicate that the proposed IG heuristic is highly effective as compared to the state-of-the-art meta-heuristics on the same benchmark instances. In terms of both solution quality and computational expense, this study successfully develops an effective and efficient approach for single-machine total tardiness problems with sequence dependent setup times.
| Original language | English |
|---|---|
| Pages (from-to) | 7087-7092 |
| Number of pages | 6 |
| Journal | Expert Systems with Applications |
| Volume | 36 |
| Issue number | 3 PART 2 |
| DOIs | |
| State | Published - 04 2009 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Iterated greedy heuristic
- Scheduling
- Single-machine
- Tardiness
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