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Improving the waste collection planning of Amsterdam

Heijnen, W.J.P. (2019) Improving the waste collection planning of Amsterdam.

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Abstract:This research is conducted to improve the waste collection planning of underground waste containers in Amsterdam. Amsterdam currently uses a static planning which uses fixed emptying frequencies to empty containers. This planning methodology proves to be unsuitable to achieve the municipalities’ objectives. Therefore, this thesis proposes a novel solution approach to solve the waste collection problem of Amsterdam. The waste collection problem in Amsterdam is modelled as a stochastic Inventory Routing Problem with Satellite Facilities (IRPSF). The improvements of the proposed solution approach compared to the current approach are threefold: (1) it is a more dynamic planning method which can utilize up-to-date information, (2) it better accounts for the influence of the stochasticity inherent to the waste collection environment, and (3) the IRPSF is solved by simultaneously considering decisions and aspects of the time and space dimensions. This latter point is also this thesis’ contribution to the existing literature, in which these decisions are often disconnected. Using a simulation model, the proposed solution approach is tested on the district of Amsterdam Zuidoost and it is found that a travel distance reduction of 12% is possible, while simultaneously improving the service level by 2%.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 55 traffic technology, transport technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/78290
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