A novel bi-objective optimization model for an eco-efficient reverse logistics network design configuration

Ecological sustainability has become a top priority for governments and business practitioners because of the massive surge in electronic waste (e-waste). This ecological context compelled firms to adopt reverse logistics (RL) invest advanced technologies with focus on sustainable recovery practices reducing excessive carbon emissions (CEs). study proposes multi-objective mixed integer programming (MOMIP) model configuring RL network design; it incorporates multiple products, facilities, processing technologies, selection vehicle types. The novelty this lies its consideration four green (inspection, dismantling, repair/refurbishing, recycling facilities), efforts maximize return yield potential form product, components, material recovery. main objective is minimize overall cost environmental impact due transportation. Further, weighted goal technique used determine efficient solutions furnish trade-off among conflicting objectives. mathematical validated utilizing real life case an electronics manufacturing firm India. total are both reduced, different selected automatically facilities. results demonstrate that increases significantly greener technology selections. also draws significant implications, specifically tax regulatory policies aid large extent along increasing product yield. Hence, will help industrial managers their strategic tactical decision making. Their evaluations options, selection, regard economic permit makers gain valuable managerial insights.