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A Decision Support System for Sustainable Waste Collection
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)
2017 (English)In: International Journal of Decision Support System Technology, ISSN 1941-6296, E-ISSN 1941-630X, Vol. 9, no 4, 49-65 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a decision support system (DSS) for making the waste collection process more sustainable. Currently, waste collection schedules and routes are created manually in most waste management organizations. Thisis both very time consuming and likely to result in poorsolutions, as the task is extremely difficult due to the large number of bins combined with the many parametersto be considered simultaneously. With a sophisticated DSS, it becomes possible to addressthe complexities of optimal waste collection and improve sustainability—not least from the environmental perspective. The DSS proposed here is designed to be used on the operational level in the waste management organization and supports daily operations and activities. System evaluation indicatesthat it can reduce truck operating time by approximately 25%, corresponding to a saving of approximately 21,300 kg of carbon dioxide and 187 kg of nitrogen oxides per year and truck.

Place, publisher, year, edition, pages
2017. Vol. 9, no 4, 49-65 p.
Keyword [en]
Decision Support System, Simulation-Based Optimization, Sustainability, Waste Collection
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-13924DOI: 10.4018/IJDSST.2017100104OAI: oai:DiVA.org:his-13924DiVA: diva2:1127487
Available from: 2017-07-15 Created: 2017-07-15 Last updated: 2017-08-08

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Strand, MattiasSyberfeldt, AnnaGeertsen, André
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CiteExportLink to record
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Citation style
  • apa
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