Modeling and optimizing a multi-objective flow shop scheduling problem to minimize energy consumption, completion time and tardiness

Energy consumption considerations in production systems have recently attracted the attention of researchers. In conventional production scheduling models the importance has more often been given to time-related rather than to energy-related performance measures. In this paper we simultaneously consider energy consumption, completion time and tardiness in the presented Multi-Objective Mixed Integer Programming flow shop scheduling model. After validating the model by solving small-scale numerical examples with Weighted Sum and Epsilon-constraint method in GAMS, the large and medium-scale examples are solved via NSGA-II and SPEA-II metaheuristic-algorithms. The results proves the efficiency of the proposed algorithms.