A computerised vehicle routing system for refuse collection
Advances in Engineering Software
Journal of Computational Physics
Garbage collection in Chicago: a dynamic scheduling model
Management Science
Computers and Operations Research
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
The Rollon--Rolloff Vehicle Routing Problem
Transportation Science
Vehicle Routing Problem with Time Windows, Part II: Metaheuristics
Transportation Science
An optimization approach for communal home meal delivery service: A case study
Journal of Computational and Applied Mathematics
Waste collection vehicle routing problem with time windows using multi-objective genetic algorithms
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Computers and Operations Research
Optimization of infectious medical waste collection using RFID
ICCL'11 Proceedings of the Second international conference on Computational logistics
A hybrid metaheuristic approach for the rollon-rolloff vehicle routing problem
Computers and Operations Research
Review: Operations research in solid waste management: A survey of strategic and tactical issues
Computers and Operations Research
Hi-index | 12.05 |
The collection of waste is a highly visible and important municipal service that involves large expenditures. Waste collection problems are, however, one of the most difficult operational problems to solve. This paper describes the optimization of vehicle routes and schedules for collecting municipal solid waste in Eastern Finland. The solutions are generated by a recently developed guided variable neighborhood thresholding metaheuristic that is adapted to solve real-life waste collection problems. Several implementation approaches to speed up the method and cut down the memory usage are discussed. A case study on the waste collection in two regions of Eastern Finland demonstrates that significant cost reductions can be obtained compared with the current practice.