Introduction of an Underground Waste Container System - Model and Solution Approaches
Gläser S, Stücken M (2021)
European Journal of Operational Research 295(2): 675-689.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Abstract / Bemerkung
In Germany, household waste is collected via a door-to-door collection system. This form of waste collection is already reaching its limits due to the increasing volume of household waste and lack of space for even more dustbins, especially in densely populated cities. In this paper we investigate an alternative collection system: an underground waste collection system in which waste would be collected at central locations in so-called underground containers with a much larger capacity. If an underground container system is to be introduced to replace the present door-to-door waste collection system, a number of decisions of varying scope have to be made: Where should the underground containers be placed? How much capacity should be provided at which collection site? Which household should dispose of its waste where? How often, when and in what order should the waste collection vehicles empty the containers? In this paper we develop a model to illustrate the combination of the underlying problems by extending a problem known from literature.
We present both hierarchical and integrated approaches to solving it. The proposed solution approaches combine in different ways two variable neighborhood search heuristics and a mixed integer programming-based exact method. We show that great benefits can be achieved through the use of integrated solution approaches. But we show too that integrated solution approaches do not necessarily dominate hierarchical ones.
We present both hierarchical and integrated approaches to solving it. The proposed solution approaches combine in different ways two variable neighborhood search heuristics and a mixed integer programming-based exact method. We show that great benefits can be achieved through the use of integrated solution approaches. But we show too that integrated solution approaches do not necessarily dominate hierarchical ones.
Stichworte
waste collection;
underground waste container;
facility location problem;
decomposition;
drop algorithm;
routing;
VNS
Erscheinungsjahr
2021
Zeitschriftentitel
European Journal of Operational Research
Band
295
Ausgabe
2
Seite(n)
675-689
ISSN
0377-2217
Page URI
https://pub.uni-bielefeld.de/record/2937188
Zitieren
Gläser S, Stücken M. Introduction of an Underground Waste Container System - Model and Solution Approaches. European Journal of Operational Research. 2021;295(2):675-689.
Gläser, S., & Stücken, M. (2021). Introduction of an Underground Waste Container System - Model and Solution Approaches. European Journal of Operational Research, 295(2), 675-689. https://doi.org/10.1016/j.ejor.2021.02.060
Gläser, Sina, and Stücken, Mareike. 2021. “Introduction of an Underground Waste Container System - Model and Solution Approaches”. European Journal of Operational Research 295 (2): 675-689.
Gläser, S., and Stücken, M. (2021). Introduction of an Underground Waste Container System - Model and Solution Approaches. European Journal of Operational Research 295, 675-689.
Gläser, S., & Stücken, M., 2021. Introduction of an Underground Waste Container System - Model and Solution Approaches. European Journal of Operational Research, 295(2), p 675-689.
S. Gläser and M. Stücken, “Introduction of an Underground Waste Container System - Model and Solution Approaches”, European Journal of Operational Research, vol. 295, 2021, pp. 675-689.
Gläser, S., Stücken, M.: Introduction of an Underground Waste Container System - Model and Solution Approaches. European Journal of Operational Research. 295, 675-689 (2021).
Gläser, Sina, and Stücken, Mareike. “Introduction of an Underground Waste Container System - Model and Solution Approaches”. European Journal of Operational Research 295.2 (2021): 675-689.
Material in PUB:
Spätere Version
Facility location and waste bin allocation and routing problem (FLWBARP)
Gläser S, Stücken M (2021)
Mendeley Data.
Gläser S, Stücken M (2021)
Mendeley Data.
Dissertation, die diesen PUB Eintrag enthält
City logistics: Three papers on challenges and solution algorithms
Gläser S (2022)
Bielefeld: Universität Bielefeld.
Gläser S (2022)
Bielefeld: Universität Bielefeld.
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