Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


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
http://dx.doi.org/10.19026/rjaset.6.3876  |  © The Author(s) 2013
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,


References


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.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved