An integrated approach to optimise sugarcane rail operations

Masoud, Mahmoud, Kozan, Erhan, Kent, Geoff, & Liu, Shi Qiang (2016) An integrated approach to optimise sugarcane rail operations. Computers and Industrial Engineering, 98, pp. 211-220.

[img] Accepted Version (PDF 565kB)
Administrators only until August 2019 | Request a copy from author

View at publisher

Abstract

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.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 96015
Item Type: Journal Article
Refereed: Yes
Keywords: Sugarcane Transport; Train Scheduling; Job Shop Scheduling; Constraint Programming; Metaheuristics
DOI: 10.1016/j.cie.2016.06.002
ISSN: 0360-8352
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page