Multi-Stage optimization under uncertainty in reverse logistics operations: An industrial scenario

The major concern of reverse logistics operations involves reducing costs, improving after sales service, waste disposal and providing good quality service in today's green environment. Process optimization involving uncertainty under set-up is a challenge. There need to consider the dynamics real situation because variation product/process characteristics make system more robust. A comparative analysis for multi-stage are illustrated here based on single stage model performing its sensitivity analysis. Accordingly, problem formulated solve cost charge mix foundry business deal with uncertainties involved practical scenario. proposed framework can be effectively implemented similar environment considering process parameters/product characteristics.