Using simulation to assess the opportunities of dynamic waste collection

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In this chapter, we illustrate the use of discrete event simulation to evaluate how dynamic planning methodologies can be best applied for the collection of waste from underground containers. We present a case study that took place at the waste collection company Twente Milieu, located in The Netherlands. Even though the underground containers are already equipped with motion sensors, the planning of container emptying’s is still based on static cyclic schedules. It is expected that the use of a dynamic planning methodology, that employs sensor information, will result in a more efficient collection process with respect to customer satisfaction, profits, and CO2 emissions. In this research we use simulation to (i) evaluate the current planning methodology, (ii) evaluate various dynamic planning possibilities, (iii) quantify the benefits of switching to a dynamic collection process, and (iv) quantify the benefits of investing in fill-level sensors. After simulating all scenarios, we conclude that major improvements can be achieved, both with respect to logistical costs as well as customer satisfaction.
Original languageEnglish
Title of host publicationUse cases of discrete event simulation
EditorsS. Bangsow
Place of PublicationDordrecht, Heidelberg
Number of pages374
ISBN (Print)978-3-642-28776-3
Publication statusPublished - 2012

Publication series



  • METIS-286879
  • IR-83611


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