Streamline your Underground container
In an apartment block outside the city centre of Helsingborg, a normal area, with a fairly normal waste management, you experience the usual challenges.
In this project, Bintel's baseline analysis has identified opportunities to reduce the cost of collection, as well as highlighted challenges with current collection that are likely to result in littering and/or poorer sorting.
Background
The multi-residential area is equipped with Underground container, for the sorting of several different fractions. The bins are emptied according to a predetermined schedule, with the emptying being outsourced by the municipal waste management service. As data is often lacking, it can be a challenge to understand the value of the service you are paying for, or to understand how you can influence and develop your activities. Carrying out a baseline analysis, therefore, can be valuable for both housing associations and those responsible for collection.
Customer demand
The project is similar to many other Underground container projects that Bintel is involved in, where the aim is usually to get a clear picture of how well the service you are paying for meets your needs. Furthermore, the aim is to gain data-driven insights that can both reduce costs and heavy traffic in the local area, and improve the conditions for residents' sorting.
Bintel's solution
Bintel has been collecting data from about 15 Underground container in the area for a year. From the data, a baseline analysis has been produced, where the current emptying scheme has been evaluated and different proposals for change have been analysed.
Results/Achievement of Goals
Some of the conclusions drawn from the analysis are that the average filling level of the underground containers varies considerably from fraction to fraction. For all fractions combined, the average filling level is just over 50%, over the measurement period.
Some fractions stand out and have consistently very low levels at emptying.
A deeper analysis between the fractions reveals a correlation between overflowing containers for paper packaging and an increased amount of Residual waste. Like other projects Bintel has been involved in, the amount of Residual waste can probably be reduced through improvement measures for other fractions. These measures will also reduce littering around the sorting stations.
When housing companies start using data analytics such as Bintel, new avenues open up to improve waste management for multi-households. Pathways that lead to lower costs and better sorted waste.
Make it easy to optimize pickup, increase degree of waste sorting and analyse improvement measures. Automatically easy!