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Waste Collection in Urban Areas: A Case Study

Edoardo Fadda et al.

INFORMS Journal on Applied Analytics2018https://doi.org/10.1287/inte.2018.0943article
AJG 2ABDC B
Weight
0.62

Abstract

The Optimization for Networked Data in Environmental Urban Waste Collection (ONDE-UWC) project is, to the best of our knowledge, the first attempt to apply the Internet of Things (IoT) paradigm to the field of waste collection. Sensors installed in dumpsters and garbage trucks share data, such as weight measurements and the number of user accesses. In this study, we schedule the weekly waste-collection activities for multiple types of waste without imposing periodic routes. An important characteristic of this project is that we consider heterogeneous stakeholders with different backgrounds and knowledge. In this context, we apply the GUEST OR methodology, highlighting how it can support the decision-making process to reduce the effects of these differences. As a result, we reduced the time required to implement the solution, increased operational efficiency, and achieved cost savings.

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https://doi.org/https://doi.org/10.1287/inte.2018.0943

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@article{edoardo2018,
  title        = {{Waste Collection in Urban Areas: A Case Study}},
  author       = {Edoardo Fadda et al.},
  journal      = {INFORMS Journal on Applied Analytics},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.1287/inte.2018.0943},
}

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Waste Collection in Urban Areas: A Case Study

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Evidence weight

0.62

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.69 × 0.4 = 0.28
M · momentum0.78 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.