Extensive research has been conducted on models that combine scheduling with decisions related to batching. Tasks may be grouped together if they utilize the same setup on a machine. Another scenario for batching arises when a machine has the capability to handle multiple tasks concurrently. This document examines the existing body of literature concerning scheduling with batching, providing in-depth information about fundamental algorithms and citing other noteworthy findings.In the paper, we pinpoint areas where techniques developed independently should be assessed and compared.As a multitude of articles have emerged in a short span, there are instances where various researchers have independently addressed the same issue, occasionally employing similar techniques, such as the genetic algorithm or simulated annealing algorithm or dynamic programming.