Author(s): Amrita Sengupta and Abhijit Pandit
This research paper investigates the optimization of production scheduling in manufacturing by doing a comparative study of three separate methods: the Hungarian Method, an analytical method, and Python programming. The purpose of this analysis is to determine which of these three methods results in the most efficient production scheduling. As a case study, we will utilize an imagined scenario in which there are two machines and three different items. The entire production time needs to be cut down as much as possible while still adhering to the limits imposed by machine capacity and meeting customer demand. The research offers a thorough look into each strategy, illuminating their respective benefits and the repercussions that such strengths may have in the real world.