Research Article | OPEN ACCESS
Hybrid Modeling and Simulation of Automotive Supply Chain Network
Wen Wang, Weiping Fu, Hanlin Zhang and Yufei Wang
School of Machinery and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, 710048, P.R. China
Research Journal of Applied Sciences, Engineering and Technology 2013 9:1598-1605
Received: November 10, 2012 | Accepted: January 07, 2013 | Published: July 15, 2013
Abstract
According to the operation of automotive supply chain and the features of various simulation methods, we create and simulate a automotive supply chain network model with the core enterprise of two vehicle manufacturers, consisting of several parts suppliers, vehicle distributors and logistics service providers. On this basis of a conceptual model including the establishment of enterprise layer, business layer and operation layer, we establish a detailed model of the network system according to the network structure of automotive supply chain, the operation process and the internal business process of core enterprises; then we use System Dynamics (SD), Discrete Event Simulation (DES) and Agent Based Modeling (ABM) to describe the operating state of each node in the network model. We execute and analyze the simulation model of the whole network system described by Anylogic, using the results of the distributors’ inventory, inventory cost and customer’s satisfaction to prove the effectiveness of the model
Keywords:
Automotive supply chain network, Hybrid modeling, Anylogic,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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