In response to the rapid generation of e-waste (electronicwaste)
over the past several years, a number of studies throughout the
world have developed methods for forecasting its volume, and for
providing guidelines for management policies and measures, to
both governments and private organizations (Wang et al., 2013): for
example, the Time Step Method, the Market Supply Method, the
Carnegie Mellon Method, the Approximation Method, the Stanford
Method, and the Gompertz Curve Method (Kim et al., 2013; Li et al.,
2015; Tan and Li, 2014). To utilize these methods, a number of
different assumptions, parameters, and variables have been
developed to take into account market saturation, product lifespans,
inventory and sales.