An integrated approach to optimise sugarcane rail operations
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In Australia, the railway system plays a vital role in transporting the sugarcane crop from farms to mills. The sugarcane transport system is complex as it routines a daily schedule, which consists of a set of train runs to satisfy the requirements of the mills and harvesters. A constrain programming approach is used to formulate this complicated system. Metaheuristic techniques and constraint programming are hybridised as an efficient solution approach. Thus, a better sugarcane transport scheduling system is achieved to maximise the throughput of sugarcane transport. A numerical investigation is presented and demonstrates that high-quality solutions are obtainable for industry-scale applications in a reasonable time.
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|Item Type:||Journal Article|
|Keywords:||Sugarcane Transport; Train Scheduling; Job Shop Scheduling; Constraint Programming; Metaheuristics|
|Divisions:||Current > Research Centres > Centre for Tropical Crops and Biocommodities
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 Elsevier|
|Copyright Statement:||Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.cie.2016.06.002|
|Deposited On:||09 Jun 2016 22:03|
|Last Modified:||06 Jul 2016 04:05|
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