| Title | Assessing the efficiency of a PSS solution for waste collection: a simulation based approach |
|---|---|
| ID_Doc | 67502 |
| Authors | Elia, V; Gnoni, MG; Tornese, F |
| Title | Assessing the efficiency of a PSS solution for waste collection: a simulation based approach |
| Year | 2016 |
| Published | |
| Abstract | Driven by both policy pressures and environmental concerns, new business models are becoming applied in waste management mainly based on introducing more equitable and sustainable pricing schemes (e.g. "pay-as-you-throw"): the aim is to support the transition from a tax based system to a pure service based approach, where the user pays for the actual use of the waste management service provided. This new trend requires the service provider's activities to be planned with a schedule that reflects the actual users' needs in order to reach a real efficiency in the collection phase: dynamic routing and scheduling schemes, which could be enabled through the application of smart technologies, can lead to a more rational use of the resources. In the last decade, technological progresses allowed a growing use of IoT (Internet-of-Things) applications in the service sector; recent pilot applications are being tested also in waste management; one example is the introduction of bin level detection and data transmission technologies for waste collection. This work aims to contribute to the assessment of IoT-based PSS solutions for waste collection. The main objective is to evaluate the cost efficiency of a PSS for waste collection enabling dynamic scheduling, comparing it to the performance of more common schemes (e.g. fixed routing and scheduling service and call-based service). Hybrid simulation modelling - based on system dynamics, discrete events and agent based modelling-has been applied to test the transition from a fixed to a "pay-as-you-throw" fee in WEEE (waste from electrical and electronic equipment). A test case regarding an Italian municipality has been proposed to assess quantitative results based on a simulation model. (C) 2016 The Authors. Published by Elsevier B.V |
| https://doi.org/10.1016/j.procir.2016.03.086 |
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