INTEGRATED OPTIMIZATION OF VEHICLE ROUTING OF AUTOMOTIVE PARTS INBOUND LOGISTICS

被引：1
|
作者：
Wu, Q. [1 ,2 ,3 ]
Su, J. F. [4 ]
Xuan, J. [5 ]
Lei, S. [1 ]
机构：
[1] Chongqing Technol & Business Univ, Coll Management Sci & Engn, Chongqing, Peoples R China
[2] Chongqing Res Ctr Ind & Informatizat Integrat & L, Chongqing, Peoples R China
[3] Changzufeiyue CZFY Technol Co Ltd, Postdoctoral Res Stn, Chongqing 402360, Peoples R China
[4] Krirk Univ, Int Coll, Bangkok 10220, Thailand
[5] Chongqing Technol & Business Univ, Coll Foreign Languages, Chongqing 400067, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SIMULATION MODELLING | 2023年 / 22卷 / 03期
关键词：
Inbound Logistics; Station Grouping; Hybrid Genetic Algorithm (HGA); Automotive Logistics; Logistics Mode; EFFICIENCY; DELIVERY;
D O I：
10.2507/IJSIMM22-3-CO14
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper makes a systematic analysis of the automotive inbound logistics, and integrates the automotive inbound logistics system and the production system by rationalizing the three main links of the logistics, taking the theory of value chain increment as the guide, and using the idea of station marshalling driving. This paper integrated and optimized three main links of inbound logistics, constructed the optimization mode of automotive inbound logistics driven by station feeding marshalling and its supporting system. In the Work-Station Marshalling-Driven Automotive Inbound Logistics Mode, we construct a mathematical model and design a hybrid genetic algorithm that combines a local search algorithm and a genetic algorithm. And at the end the validity and practicality of this research is demonstrated by real-life examples.
引用
收藏
页码：520 / 531
页数：12
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