Hybrid energy-efficient scheduling measures for flexible job-shop problem with variable machining speeds

Production scheduling has a significant impact on energy savings in manufacturing system from the viewpoint of operation management. Taking the flexibility of machining speeds taken into account, the flexible job-shop scheduling problem will get closer to the real manufacturing environment, and the associated energy consumption for shifting speeds should also be noticeable. In this paper, a novel energy-aware estimation model is proposed to compute different energy consumptions for different running conditions of a machine. Then, a multi-objective optimization model is formulated for the dual flexible job-shop scheduling problem to minimize the makespan and total energy consumption. Hybrid energy-efficient scheduling measures are developed to reduce each kind of energy consumption on the machines. Finally, experimental results show the consistency between optimization objectives and demonstrate superior performance of these energy-efficient scheduling measures.

Automated summary

This paper proposes an energy-aware estimation model for the flexible job-shop scheduling problem and formulates a multi-objective optimization model to minimize the makespan and total energy consumption. Hybrid energy-efficient scheduling measures are developed to reduce various energy consumption on the machines.