The slack based measure (SBM) of efficiency is one of mostly used model in the data envelopment analysis (DEA) literature. The model acts on inputs and outputs slacks and gave a measure between zero and unity. In the light of global warming and resource scarcity, some units widely consume undesirable (used) inputs for improving their efficiency. Plastic waste or Gray water production are two examples of undesirable input usage in recycling factories. Hence, increasing undesirable inputs raise challenges for handling in production process. This study contributes undesirable inputs through SBM model. Toward this end, the SBM model is developed to cases that consume both desirable and undesirable inputs to produce the final outputs. Addressing the increasing of undesirable input, SBM model is reformulated to identify not only corresponding reduction in desirable inputs but also anticipate a suitable quantity for the undesirable inputs. A real data set is applied to elucidate the model applicability and advantages.