Sustainable scheduling optimization of mixed-line production for large marine power components

Abstract

The manufacturing of large marine power component including cutting, welding, shrink fitting, heat treatment is a typical industry with high-material consumption, high-energy consumption and high-environmental pollution. It is noted that green manufacturing is gradually emerging. Comprehensive optimization of energy consumption for multiple processes is an effective way to promote a cleaner production industry. To reduce carbon emission from the plant-wide production processes, a new integrated sustainable scheduling approach of mixed-line production with heterogeneous manufacturing technologies is presented in this paper. In this approach, three carbon emission formulations related to cutting, welding and heat treatment are established respectively by analyzing energy consumption and its composition. An optimization mathematical model with the goal of minimizing the total emission of carbon dioxide and the total makespan is then established. In order to solve the model, the genetic algorithm is adaptively improved. The niche and elite retention strategy are introduced in the selection operator, and the dynamic crossover operator is set to adjust the genetic parameters with its iteration and adaptive function values to improve the efficiency of the algorithm. Finally, the effectiveness of the proposed approach is validated by comparing with two types of models considering the makespan and carbon emission respectively. The results indicate that the proposed method satisfactorily tackles the mixed-line production scheduling problem of large marine power component manufacturing.