Abstract
Reverse logistics has evolved to assist companies in recognizing potential benefits and overcoming challenges associated with its operations and strategies. Reverse logistics has a considerable influence both on production planning and management and on the determination of optimal production and storage capacities. Product recovery, which encompasses reuse, remanufacturing and materials recycling, requires a structured reverse logistic network in order to collect products efficiently at the end of their life cycle. Present work describes simulation modelling of reverse logistics networks for collection of EOL products for XYZ Limited Company of North India. This company is involved in production of acid batteries for commercial use. Simulation model presented in this work, allows the user to analyze the future performance of the network and to understand the complex relationship between the parties involved. The findings from the simulation suggest that the model calculates cycle time, transfer time, transfer cost, and resource utilization in a predictable manner. Simulation model was developed using Arena 11.0 simulation package.
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