Energy-efficient Scheduling for Multistage Manufacturing System with Parallel Machines

Abstract

Increasing energy is prompting academicians to pay attention to energy efficient scheduling. This study establishes a mathematical model for multistage manufacturing system with parallel machines to minimize total energy consumption. A memetic algorithm based on differential evolution(MABDE) is developed to solve the model effectively. Two rules are incorporated into the proposed algorithm to narrow down the search space and improve search efficiency. Computational results demonstrate the effectiveness of the proposed model and algorithm.