Inventory-transportation Integrated Optimization Based on Milk-run Model

Author

Yun, Lin ; Xian-Long, Ge ; Chao-Chun, Shi

Author_Institution

State Key Lab. of Mech. Transm., Chongqing Univ., Chongqing, China

fYear

2010

fDate

7-9 May 2010

Firstpage

3372

Lastpage

3376

Abstract

Inventory-transportation integrated optimization in the distribution system is important research subject of logistics integration strategy. This paper analyses the relationship between inventory and transportation, builds the ITIO issue optimization based on milk-run mode, and combining the character of Model, this paper designs Genetic Algorithm of natural number coding to solve Vehicle Scheduling model of milk-run, then uses stepwise iterated Algorithm to balance inventory cost and transportation cost, in order to make the total cost of milk-run logistics network system minimum.

Keywords

genetic algorithms; goods distribution; inventory management; logistics; scheduling; transportation; distribution system; genetic algorithm; inventory cost; inventory transportation integrated optimization; logistics integration strategy; milk run model; natural number coding; stepwise iterated algorithm; transportation cost; vehicle scheduling model; Biological cells; Biological system modeling; Encoding; Logistics; Optimization; Vehicles; Genetic Algorithm; Inventory-transportation; integrated optimization; milk-run model;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and E-Government (ICEE), 2010 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3997-3

Type

conf

DOI

10.1109/ICEE.2010.847

Filename

5591536