飛機(jī)移動(dòng)裝配線資源水平問題的建模研究
發(fā)布時(shí)間:2018-09-11 15:29
【摘要】:針對(duì)飛機(jī)總裝移動(dòng)裝配線的資源水平問題,以最小化資源成本為目標(biāo),提出并建立了具有空間約束的資源水平問題的數(shù)學(xué)模型。針對(duì)問題特點(diǎn),提出了非關(guān)鍵任務(wù)調(diào)度優(yōu)先級(jí)規(guī)則,并以遺傳算法為框架,優(yōu)化非關(guān)鍵任務(wù)調(diào)度優(yōu)先級(jí)。在解碼中,提出利用區(qū)間細(xì)分的方式來確定非關(guān)鍵任務(wù)位置,以提高計(jì)算效率,提出并設(shè)計(jì)了當(dāng)前任務(wù)調(diào)度對(duì)全局資源水平影響的評(píng)估公式,極大提高了未調(diào)度任務(wù)在后續(xù)調(diào)度過程中選擇更佳調(diào)度位置的幾率。針對(duì)空間約束,構(gòu)建了包含當(dāng)前關(guān)鍵任務(wù)的局部調(diào)整方法。最后通過數(shù)據(jù)實(shí)驗(yàn)驗(yàn)證了算法的有效性和優(yōu)越性。
[Abstract]:Aiming at the problem of resource level of mobile assembly line in aircraft assembly line, a mathematical model of resource level problem with spatial constraints is proposed and established in order to minimize the cost of resources. According to the characteristics of the problem, a non-critical task scheduling priority rule is proposed, and the non-critical task scheduling priority is optimized based on genetic algorithm. In decoding, the method of interval subdivision is proposed to determine the non-critical task location to improve the computing efficiency, and the evaluation formula of the impact of current task scheduling on global resource level is proposed and designed. It greatly improves the probability of unscheduled tasks choosing better scheduling positions in the subsequent scheduling process. Aiming at the spatial constraints, a local adjustment method including the current critical tasks is constructed. Finally, the validity and superiority of the algorithm are verified by data experiments.
【作者單位】: 同濟(jì)大學(xué)機(jī)械與能源工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(61473211,71171130)
【分類號(hào)】:V262.4;TP18
本文編號(hào):2237089
[Abstract]:Aiming at the problem of resource level of mobile assembly line in aircraft assembly line, a mathematical model of resource level problem with spatial constraints is proposed and established in order to minimize the cost of resources. According to the characteristics of the problem, a non-critical task scheduling priority rule is proposed, and the non-critical task scheduling priority is optimized based on genetic algorithm. In decoding, the method of interval subdivision is proposed to determine the non-critical task location to improve the computing efficiency, and the evaluation formula of the impact of current task scheduling on global resource level is proposed and designed. It greatly improves the probability of unscheduled tasks choosing better scheduling positions in the subsequent scheduling process. Aiming at the spatial constraints, a local adjustment method including the current critical tasks is constructed. Finally, the validity and superiority of the algorithm are verified by data experiments.
【作者單位】: 同濟(jì)大學(xué)機(jī)械與能源工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(61473211,71171130)
【分類號(hào)】:V262.4;TP18
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