Electrical and electronic equipment waste, (E-Waste) in short is a recent emerging waste. It isrnknown that sales of electronics and electrical equipment have undergone explosive growthrnworldwide, while at the same time, the life cycles of equipment have been getting shorter. Thisrnhas resulted in large numbers of e-waste being generated, which causes problems ofrnenvironmental sustainability, health and economic loss that each country has to face. To managernthese problems, the concept of Reverse Logistic (RL) has gained much attention due to therngrowing concern of environment and efficient utilization of resources. This study identifiedrnexistence of improper network for e-waste collection system, undetermined collection centerrncapacity and costs for e-waste collection and lack of properly designed e-waste reprocessingrnsystem problems and solved for Akaki Computer Refurbishment and Training Facility (ACRTF).rnThe thesis focused on designing and analyzing a reverse logistics network of e-wasternmanagement system for ACRTF with a goal of designing optimal collection system, selectingrnlocation facility from potential generating sites, suggesting methods of re-processing e-waste andrndesign of RL network for e-waste management. rn rnTo achieve the research objective, primary and secondary data were collected and analyzed torndevelop clear concepts and design the research. Data was collected from the case facility andrnanalyzed focusing on identifying potential generating site, future accumulation of e-wastes,rndesigning optimal collection facility and formulating methods of re-processing e-waste. Thernstudy used certain tools to analysis collected data and to design the RL network. MS excel andrnSPSS for categorizing and analyzing collected data from the case study, Google Earth Pro tornlocate e-waste generating sites and collection facilities and LINGO 18.0 to evaluate and selectrnthe optimal collection facility are the tools used in this study. rn rnFrom the results of analyzed data, the study found that 71,124 sales and 53,344 waste amount ofrne-waste is expected to be generated from potential generating sites (PGS) at 2025. Decentralizedrncollection system is optimal with 44.14 ton of e-waste, 2,214.94 Km of total distance, incurredrntotal cost of 1385.856 birr from PGS to re-processing facility (RF) and total profit 499,799.52rnbirr from collected e-waste. Hence, the study found out that such amount of opportunity can bernexploited if appropriate design of reverse logistics networks is implemented. In the study, it isrnrecommended that end user of electrical and electronic equipment, the government policy on thernsustainable environmental protection and resource recovery and the reprocessing facility shouldrnbe awaked and all of which have a great implication on strategic implementation of reversernlogistics network design.