摘要
针对运输过程转运需等待发车时间的实际问题,提供了一种解决方案.此方案目的是在指定交货期的前提下,选择满足客户要求的转运节点和供应商.为此,从第四方物流供应商角度,建立了以运输成本最小为目的,带有模糊处理时间且考虑中转发车时间的单点到多点多任务第四方物流路径问题(4PLRP)的模糊规划模型.在模型的求解上,首先将问题转化为清晰的等价模型,然后针对清晰化的模型设计了蚁群优化算法进行求解.实验分析表明提出的模型更加真实地模拟了转运需等待发车时间的运输情景,并且验证了该算法对解决此类问题的有效性.
The paper provides an actual solution for the problem where there are needs to wait for the departure time during the transportation process. The target is to make a suitable selection on both the transit nodes and the third party logistics suppliers in a given due date. For this reason, from the viewpoint of a fourth party logistics （4PL） provider, by considering fuzzy duration time and travel schedule, a fuzzy programming model of single-source multi-destination multi-task 4PL routing problem （4PLRP） is built, which aims to find a route at the minimum cost. To get the solution, the model is first converted into an equivalent crisp problem, and then for the equivalent model, an ant colony optimization is designed. Experimental analysis shows that the designed model simulates a more truly transportation process where there are needs to wait for the departure time during the transportation. The numerical results indicate problems. that the proposed algorithm is effective for solving such
出处
《系统工程学报》
CSCD
北大核心
2012年第4期535-542,共8页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71071028
70931001
71021061
61070162)
高等学校博士学科点专项科研基金资助项目(20070145017
20100042110025)
中央高校基本科研业务费专项资金资助项目(N090504006
N100604021
N090504003)
关键词
第四方物流
模糊规划
可信性理论
蚁群优化
fourth party logistics
fuzzy programming
credibility theory
ant colony optimization
