Inventory management models in cluster supply chains based on system dynamics
RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 3, pp. 763-778

Voir la notice de l'article provenant de la source Numdam

This study introduces the methods of supply chain inventory management into the cluster supply chains and proposes the implementation of supply chain inventory management strategies under this circumstance. First, we analyze the system behavior patterns of the co-operation planning, forecasting and replenishment (CPFR), vendor-managed inventory (VMI), and jointly managed inventory (JMI) models of cluster supply chains. Therefore, we establish the inventory management models of CPFR, VMI and JMI in cluster supply chains. These models are simulated by VENSIM software. The simulation results show that compared with those in the VMI and JMI models, the inventory fluctuations of manufacturers, wholesalers and retailers in the CPFR model correspond; the total inventory is reduced while its stability is greatly improved. Therefore, the application of CPFR in cluster supply chains can effectively restrain the bullwhip effect, reduce the inventory and improve the efficiency of the entire supply chain.

Reçu le :
Accepté le :
DOI : 10.1051/ro/2016054
Classification : 90B05
Keywords: Inventory management, cluster supply chains, system dynamics, CPFR, VMI

Yan, Bo 1 ; Wu, Jiwen 1 ; Liu, Lifeng 1 ; Chen, Qiuqing 1

1 School of Economics and Commerce, South China University of Technology, Guangzhou 510006, P.R. China.
@article{RO_2017__51_3_763_0,
     author = {Yan, Bo and Wu, Jiwen and Liu, Lifeng and Chen, Qiuqing},
     title = {Inventory management models in cluster supply chains based on system dynamics},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {763--778},
     publisher = {EDP-Sciences},
     volume = {51},
     number = {3},
     year = {2017},
     doi = {10.1051/ro/2016054},
     mrnumber = {3880524},
     zbl = {1384.90008},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/ro/2016054/}
}
TY  - JOUR
AU  - Yan, Bo
AU  - Wu, Jiwen
AU  - Liu, Lifeng
AU  - Chen, Qiuqing
TI  - Inventory management models in cluster supply chains based on system dynamics
JO  - RAIRO - Operations Research - Recherche Opérationnelle
PY  - 2017
SP  - 763
EP  - 778
VL  - 51
IS  - 3
PB  - EDP-Sciences
UR  - http://geodesic.mathdoc.fr/articles/10.1051/ro/2016054/
DO  - 10.1051/ro/2016054
LA  - en
ID  - RO_2017__51_3_763_0
ER  - 
%0 Journal Article
%A Yan, Bo
%A Wu, Jiwen
%A Liu, Lifeng
%A Chen, Qiuqing
%T Inventory management models in cluster supply chains based on system dynamics
%J RAIRO - Operations Research - Recherche Opérationnelle
%D 2017
%P 763-778
%V 51
%N 3
%I EDP-Sciences
%U http://geodesic.mathdoc.fr/articles/10.1051/ro/2016054/
%R 10.1051/ro/2016054
%G en
%F RO_2017__51_3_763_0
Yan, Bo; Wu, Jiwen; Liu, Lifeng; Chen, Qiuqing. Inventory management models in cluster supply chains based on system dynamics. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 3, pp. 763-778. doi: 10.1051/ro/2016054

Cité par Sources :