Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

•We model a multi-objective energy-efficient scheduling with transportation times.•We develop an enhanced genetic algorithm to get Pareto solutions.•The proposed algorithm is effective in solving the EFJSP and is capable of obtaining better Pareto solutions than the multi-objective genetic algorithm.•An energy-saving scheduling strategy could be considered by reducing the transportation time.