The rollon–rolloff waste collection vehicle routing problem with time windows
AbstractThis study introduces a rollon–rolloff waste collection vehicle routing problem involving large containers that accumulate huge amounts of garbage at construction sites and shopping districts. In this problem, tractors move one container at a time between customer locations, a depot, disposal facilities, and container storage yards. The complicated constraints discussed in this study arise from having multiple disposal facilities, multiple container storage yards, seven service types of customer demands, different time windows for customer demands and facilities, various types and sizes of containers, and the lunch break of tractor drivers. In addition, real-world issues, such as changing service types, multiple demands at a customer’s location, and tractors with different work schedules, are dealt with. This study proposes a large neighborhood search based iterative heuristic approach consisting of several algorithms for the problem. The effectiveness of the proposed methods is demonstrated by computational experiments using benchmark data, some instances of which are derived from real-world problems.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 224 (2013)
Issue (Month): 3 ()
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Web page: http://www.elsevier.com/locate/eor
Routing; Rollon–rolloff; Waste collection; Skip collection problem; Large neighborhood search; Heuristics;
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- Kulcar, Thierry, 1996. "Optimizing solid waste collection in Brussels," European Journal of Operational Research, Elsevier, vol. 90(1), pages 71-77, April.
- Abdelkader Sbihi & Richard W. Eglese, 2010. "Combinatorial optimization and Green Logistics," Post-Print hal-00644111, HAL.
- Donald D. Eisenstein & Ananth. V. Iyer, 1997. "Garbage Collection in Chicago: A Dynamic Scheduling Model," Management Science, INFORMS, vol. 43(7), pages 922-933, July.
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