离散型生产系统准时化物料配送方法的优化研究

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1、·上海交通大学硕士学位论文3.2三阶段启发式算法·····························································································243.2.1第一阶段：计算每个生产周期需要的最少车次数··································253.2.2第二阶段：最优化车次的配送时间··························································273.2.3第三阶段：

2、将车次指派给车辆··································································283.2.4算法小结·····································································································293.3单车辆的物料配送问题······································································

3、···············303.3.1物料的装卸时间··························································································303.3.2车次的行驶时间··························································································303.3.3单车辆的总配送时间································

4、··················································323.4遗传算法求解·····································································································323.4.1遗传算法的简介··························································································333.4

5、.2遗传算法的设计··························································································343.5本章小结·············································································································38第四章准时化物料配送方法的应用分析···································

6、······························394.1案例介绍·············································································································394.2三阶段启发式算法的计算分析········································································434.2.1计算每个生产周期需要的车次数量···········

7、··············································434.2.2计算每个生产周期每个车次的最短配送时间·········································454.2.3将车次指派给车辆·····················································································464.2.4三阶段启发式算法的最优解·······································

8、·······························474.3遗传算法的计算分析··························································