Sustainable production system requires optimal utilization of resources. Raw material acquisition is one of the costly processes in a production system. End-of-Life (EOL) and products re-manufacturing through reverse logistics can help in decreasing excessive raw material cost. In this study, we consider production system of closed loop supply chain in which both forward and reverse production systems are active. Design of experiments (DOE) methodology is incorporated which is a statistical approach adopted in dealing with complex workplace problems. We employ L₉ orthogonal array using Tagouchi experiment in Minitab 17 and Design experts for plotting the results. Dependent variable used in this study is quality accuracy of product (measured in percentage of deviation from reference standards. Control variables used in the analysis are tools employed in production system (tu), number of machines being used (m) and dedicated manufacturing cells (dc). We use three levels of analysis for each control factor. Optimum result conditions are calculated using signal to noise ratio with smaller-the-better criteria and study is concluded with main effects of the mean plots.