Multi-objective optimization algorithm analysis on supply chain resources integration decision in 4PL

被引：5
|
作者：
Liu, Liwen [1 ]
Yao, Hanming [1 ]
机构：
[1] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年
关键词：
the fourth party logistics; supply chain resources integration; multi-objective optimization algorithm;
D O I：
10.1109/ICAL.2007.4338875
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
At present, the successful operations of the fourth party logistics (4PL) in practice gradually demonstrate that it is an effective mode to integrate the supply chain's complicated resources rationally, efficiently and flexibly. In order to thoroughly analyze the supply chain resources integration problem in 4PL from a quantitative perspective and to guide the integration practice, based on the previous study results, this paper takes the multi-objective optimization action of the integration decision as an analysis pivot, builds a improved ant algorithm to resolve the integration decision optimization process. Finally, the reasonability and feasibility of the algorithm are validated through the simulation of a calculation case.
引用
收藏
页码：1852 / 1857
页数：6
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