Developing Logistics and Supply Chain Management by Using Agent-Based Simulation

被引：0
|
作者：
Rouzafzoon, Javad [1 ]
Helo, Petri [1 ]
机构：
[1] Univ Vaasa, Sch Technol & Innovat, Vaasa, Finland
来源：
2018 FIRST IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR INDUSTRIES (AI4I 2018) | 2018年
关键词：
component; Agent-based; Simulation; Artificial intelligence; Vehicle scheduling; Fleet optimization; Supply chain management; Logistics; Geographical Information System (GIS);
D O I：
10.1109/ai4i.2018.00017
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Agent-based simulation provides new opportunities to resolve companies' complex problems. This paper presents an agent-based modeling approach for resolving the vehicle scheduling and fleet optimization problem. The method is implemented on case company data and various key performance indicators are generated to measure the efficiency of the solution.
引用
收藏
页码：35 / 38
页数：4
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