Multicriteria Decision Analysis for Optimizing Site Selection of Electronic and Electricity Equipment Waste Dismantling and Sorting Facility (Case Study: in Indonesia, using AHP)

Abstract

E-waste management involves the selection of e-waste location of dismantling and sorting facility (DSF). Unfortunately, Indonesia, at present, has no disposal sites. Site selection decision complexity involves a lot of criteria to filter the various alternative locations. As the initial step, the aims of this study is to select the optimal location of DSF in Indonesia using multi-criteria decision analysis. In this case, Analytic Hierarchy Process (AHP) model was applied. Eight criteria were selected to choose the optimal location, e.g. local population (C1), population served (C2), percentage of monthly non-food expenditure (C3), distance from existing e-waste dismantling and sorting facility (C4), average house per unit (C5), unemployed population (C6), financial status of local population (C7), and distance from the nearest port (C8). Data of eight criteria then were ranked based on the objective function of each criterion, which were maximizing function (C1, C2, C3, C4, C6) and minimize function (C5, C7, C8). The results of those ranking then summed based on the weight resulted from AHP, and finally generated five main alternatives in selecting e-waste DSF. Based on this model, West Java was selected as the optimal location of e-waste DSF. West Java is one of the most populated provinces in Indonesia and located near the capital city of Indonesia.