关键词: 半组合式船用曲轴, 绿色制造, 柔性作业车间调度, 多资源约束, 多目标优化

Abstract: Aiming at the characteristics of half build-up marine crankshaft structure such as many specifications,small batch,large volume and mass,high processing precision,large production energy consumption and strict delivery time requirements,the green scheduling optimization method for the production workshop of this type of crankshaft structure was studied with the minimum maximum completion time,minimum machine processing energy consumption and minimum overhead traveling crane energy consumption as the optimization objectives.The manufacturing process of structural parts was divided into four technological processes of preparation,clamping,processing and unloading,and a mathematical model of double-resource constraint and multi-objective optimal scheduling for integrated bridge crane transportation equipment and machine processing equipment was established.Based on the fast and elitist multi-objective genetic algorithm,a five-segment coding method combining transportation information and machine information was proposed.Two heuristic selection strategies were incorporated into the algorithm flow to optimize the each iteration results secondarily,thus the whole manufacturing flow was improved.The proposed model and algorithm were applied to the structural parts production workshop of a marine crankshaft company in Shanghai,and compared with the optimization results of the single-resource machine constraint mathematical model without considering the transportation state,which verified the effectiveness of the proposed model and algorithm.

Key words: half build-up marine crank shaft, green manufacturing, flexible job shop scheduling, multi-resource constraints, multi-objective optimization