Scheduling of road vehicles in sugarcane transport: a case study at an Australian sugar mill
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Publication:2575581
DOI10.1016/j.ejor.2004.07.055zbMath1091.90504OpenAlexW2029710741MaRDI QIDQ2575581
Publication date: 5 December 2005
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2004.07.055
Related Items (8)
An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company ⋮ Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations ⋮ A bi-objective mathematical model for integrated planning of sugarcane harvesting and transport operations ⋮ Variable neighborhood search for optimizing the transportation of agricultural raw materials ⋮ Variable neighborhood search based approaches to a vehicle scheduling problem in agriculture ⋮ A review of mathematical optimization models applied to the sugarcane supply chain ⋮ Mathematical programming accelerates implementation of agro-industrial sugarcane complex ⋮ Harvest planning in the Brazilian sugar cane industry via mixed integer programming
Uses Software
Cites Work
- Unnamed Item
- The vehicle routing problem: An overview of exact and approximate algorithms
- An exact algorithm for multiple depot bus scheduling
- Variable neighborhood search
- Optimization with simulation and multiobjective analysis in industrial decision-making: A case study
- Solving a large-scale industrial scheduling problem using MILP combined with a heuristic procedure
- A genetic algorithm for the vehicle routing problem
- A user's guide to tabu search
- Solving real-life vehicle routing problems efficiently using tabu search
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