Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm

This work aims to develop a novel batch scheduling model for a collaborative multi-product flow shop system. Its objective is to minimize make-span and total production cost. This model is developed by using non-dominated sorting genetic algorithm (NSGA II) which is proven in many multi objective optimization models