|Table of Contents|

Dynamic Scheduling Model and Co-evolutionary Genetic Algorithm of Mobile Supply Chain

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2011年04期
Page:
579-584
Research Field:
Publishing date:

Info

Title:
Dynamic Scheduling Model and Co-evolutionary Genetic Algorithm of Mobile Supply Chain
Author(s):
YANG Yang1WANG Long2
1. School of Management,Harbin Institute of Technology,Harbin 150001,China, 2. School of Management,Shanxi University,Taiyuan 030006,China
Keywords:
dynamic scheduling models mobile location constraint satisfaction co-evolutionary genetic algorithm
PACS:
TP391. 9
DOI:
-
Abstract:
The dynamic supply chain distribution system is researched by accurate control of inventory checking and vehicle scheduling. The supply chain dynamic scheduling model is formulated based on the integration of the supply chain inventory policy and vehicle routing plan in order to fulfill the optimization of the order quantity and the on-the-way inventory of the random demand of retailers. Based on the scheduling model,a co-evolutionary genetic algorithm is proposed to resolve the constraint satisfaction problem in combinatorial optimization. Simulation results show that the dynamic scheduling model can decrease the total running cost of a supply chain.

References:

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Last Update: 2012-10-23