Minimizing operational costs in solid waste management. A case of Bindura Municipality (2012-2017)
Makunde, Shelton George.
MetadataShow full item record
Solid waste management is a vital service which Municipalities should by all means try to optimize given the hazards that solid waste can cause to the environment and the residents. Solid waste management costs in terms of time and resources. The implementation of powerful tools in the Solid Waste Management systems largely improves the decision making and planning resulting in the optimization of resources in delivering quality Solid Waste Management service to the residents. The major problem in managing Solid waste is the lack of money. This study intended to minimize operational costs in Solid Waste Management for Bindura Municipality in Zimbabwe. The study was guided by objectives which include; to evaluate the current solid waste management systems at Bindura Municipality, to evaluate the effectiveness of the current systems in minimizing operational costs and to develop and demonstrate the use of forecasting tools. To meet these objectives both primary and secondary data were used. Purposive sampling was used to select a sample of ten members from the health and finance departments which were used as the key informants to provide answers to the interview questions. Secondary data obtained from the municipality’s archives was significantly used in the time series analysis. The researcher analysed the time series of solid waste generation of the Central Business District daily data from March 2016 to January 2017 using the Box-Jenkins modelling to fit a model to the Solid Waste Quantity which can be used to predict the future. MATLAB, MINITAB and EXCEL were the packages used for data analysis. The MINITAB results indicated that an ARIMA (2,1,0) (0,1,1)5 model is the best model to use for forecasting solid waste quantities based on autocorrelations and partial autocorrelations. The residual analysis which was used for model validation indicated that the model adequately describes the time series data. Data splitting was used for further validation and it was clear that the forecasts were a true reflection of the actual data which confirms that the model is the best. The study found that scientific methods have not been used at Bindura Municipality with the view of taking down operational costs. The study concluded that scientific tools such as forecasting tools are helpful in planning and decision making. From the research findings, it was recommended that the Municipality should keep records in order to monitor performance and effectiveness in solid waste collection. The researcher also recommended the implementation of scientific tools such as forecasting and optimization among others in designing effective solid waste management systems. The implementation of the 3Rs concept is also highly recommended in this study.