Paper Info
Title
Supporting multi-depot and stochastic waste collection management in clustered urban areas via simulation-optimization.
Abstract
Waste collection is one of the most critical logistics activities in modern cities with considerable impact on the quality of life, urban environment, city attractiveness, traffic flows and municipal budgets. Despite the problem’s relevance, most existing work addresses simplified versions where container loads are considered to be known in advance and served by a single vehicle depot. Waste levels, however, cannot be estimated with complete certainty as they are only revealed at collection. Furthermore, in large cities and clustered urban areas, multiple depots from which collection routes originate are common, although cooperation among vehicles from different depots is rarely considered. This paper analyses a rich version of the waste collection problem with multiple depots and stochastic demands by proposing a hybrid algorithm combining metaheuristics with simulation. Our ‘simheuristic’ approach allows for studying the effects of cooperation among different depots, thus quantifying the potential savings this cooperation could provide to city governments and waste collection companies.
Year
DOI
Venue
2017
10.1057/s41273-016-0002-4
J. Simulation
Keywords
Field
DocType
simheuristics, simulation–optimization, waste collection management, multi-depot vehicle routing problem, horizontal cooperation, stochastic demands
Hybrid algorithm,Computer science,Urban environment,Operations research,Attractiveness,Waste collection,Management science,Metaheuristic
Journal
Volume
Issue
ISSN
11
1
1747-7786
Citations 
PageRank 
References 
5
0.39
19
Authors
5
Name
Order
Citations
PageRank
Aljoscha Gruler161.75
Christian Fikar281.49
Angel A. Juan359669.73
Patrick Hirsch4376.05
Carlos Contreras Bolton550.39