PI: Dr. Mohammad AlDurgam
CoI: Aamir Hussain

This study develops a multi-objective reverse logistics network for managing multi-type warranty returns in closed-loop supply chains using a mixed-integer linear programming model. The model minimizes costs (facility, transport, refurbishment, environmental) and optimizes cycle times and demand fulfilment. A mobile phone case study using the GLPK solver shows improved efficiency, reduced CO2 emissions, and adaptability to demand changes through sensitivity analysis.