Abstract
Mixed integer programming and parallel-machine job shop scheduling are used to solve the sugarcane rail transport scheduling problem. Constructive heuristics and metaheuristics were developed to produce a more efficient scheduling system and so reduce operating costs. The solutions were tested on small and large size problems. High-quality solutions and improved CPU time are the result of developing new hybrid techniques which consist of different ways of integrating simulated annealing and Tabu search techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 2569-2589 |
| Number of pages | 21 |
| Journal | International Journal of Production Research |
| Volume | 53 |
| Issue number | 9 |
| DOIs | |
| State | Published - 3 May 2015 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2014 Taylor & Francis.
Keywords
- metaheuristics
- railways
- scheduling
- sugarcane
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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