Abstract
This paper studies the single machine scheduling problem with availability constraints and optional job rejection. We consider the non-resumable and resumable variants, and show that the problems remain ordinary NP-hard, even with the rejection possibility extension, by presenting pseudo-polynomial dynamic-programming (DP) solutions. We also present an enhanced running time implementation of the algorithm of Kellerer and Strusevich (Algorithmica 57(4):769–795, 2010) for the resumable scenario without job rejection. This solution is adapted to efficiently solve the machine non-availability problem with a floating interval and the problem of two competing agents on a single machine, with and without optional job rejection. Numerical experiments support the efficiency of our DP implementation.
| Original language | English |
|---|---|
| Pages (from-to) | 480-497 |
| Number of pages | 18 |
| Journal | Journal of Combinatorial Optimization |
| Volume | 44 |
| Issue number | 1 |
| DOIs | |
| State | Published - Aug 2022 |
Keywords
- Dynamic programming
- Job rejection
- NP-hard
- Non-availability interval