In this paper, the cross-chain inventory emergency supplementary of two single supply chains is investigated to simulate the transshipment of the supply chain network system in the industrial cluster supply chains. We assume that each single supply chain is composed by a manufacturer, a wholesaler and a retailer. Besides, a new transshipment policy based on system dynamics (SD) is proposed in this paper, called the model of the cross-chain inventory transshipment between two enterprises from both the same tier and different tiers. The new proposed model is different from the model of the cross-chain inventory transshipment between two enterprises at the same tier and the model of the cross-chain inventory transshipment between two enterprises at different tiers, which have been researched by previous scholars. Some comparisons are made among the three models. It is proved that the new proposed model can improve the customer satisfaction level (CSL) and lower the total inventory level than the two other models existing currently.
Accepté le :
DOI : 10.1051/ro/2017021
Mots-clés : Transshipment, inventory, cluster supply chains, customer satisfaction level (CSL), system dynamics (SD)
@article{RO_2018__52_1_1_0,
author = {Yan, Bo and Liu, Lifeng},
title = {A new transshipment policy in cluster supply chains based on system dynamics},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {1--15},
publisher = {EDP-Sciences},
volume = {52},
number = {1},
year = {2018},
doi = {10.1051/ro/2017021},
mrnumber = {3812465},
language = {en},
url = {http://archive.numdam.org/articles/10.1051/ro/2017021/}
}
TY - JOUR AU - Yan, Bo AU - Liu, Lifeng TI - A new transshipment policy in cluster supply chains based on system dynamics JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2018 SP - 1 EP - 15 VL - 52 IS - 1 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ro/2017021/ DO - 10.1051/ro/2017021 LA - en ID - RO_2018__52_1_1_0 ER -
%0 Journal Article %A Yan, Bo %A Liu, Lifeng %T A new transshipment policy in cluster supply chains based on system dynamics %J RAIRO - Operations Research - Recherche Opérationnelle %D 2018 %P 1-15 %V 52 %N 1 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ro/2017021/ %R 10.1051/ro/2017021 %G en %F RO_2018__52_1_1_0
Yan, Bo; Liu, Lifeng. A new transshipment policy in cluster supply chains based on system dynamics. RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 1, pp. 1-15. doi : 10.1051/ro/2017021. http://archive.numdam.org/articles/10.1051/ro/2017021/
, A New Decision Rule for Lateral Transshipments in Inventory Systems. Manag. Sci. 49 (2001) 1168–1179. | DOI | Zbl
, , , and , Role of feed-in tariff policy in promoting solar photovoltaic investments in Malaysia: A system dynamics approach. Energy. 84 (2015) 808–815. | DOI
A. Borshchev, From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. Inter. Confer. Syst. Dynamics Soc. (2010)
S. Bandini, S. Manzoni and G. Vizzari, Agent based modeling and simulation: an informatics perspective, J. Artificial Soc. Soc. Simul. 12.4 (2009).
and , Cluster building and logistics network integration of local food supply chain. Biosystems Engineering 108 (2011) 293–302. | DOI
and , A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams’ initiatives. Inter. J. Production Economics 155 (2014) 249–258. | DOI
and , Managing transshipments in a multi-retailer system with approximate policies. J. Operat. Res. Soc. 66.6 (2015) 947–964. | DOI
, Industrial Dynamics, J. Operat. Res. Soc. 48 (1997) 1037–1041. | DOI
, , and , Multibody system dynamics simulator for process simulation of ships and offshore plants in shipyards. Adv. Eng. Software. 85 (2015) 12–25. | DOI
, and , A case-based roadmap for lateral transshipment in supply chain inventory management. J. Infor. Syst. Technology Management. JISTEM. 13.1 (2016) 27–44.
and , System dynamics model for optimizing the recycling and collection of waste material in a closed-loop supply chain. Simulation Modelling Practice and Theory 53 (2015) 88–102. | DOI
D. Gross, Centralized inventory control in multilocation supply systems. In Gilford DM and Shelly MW. Multistage Inventory Models and Techniques. edited by H.E. Scarf. Stanford University Press: Stanford, CA (1963) 47–84. | MR | Zbl
and , Sharing and lateral transshipment of inventory in a supply chain with expensive low-demand items. Manag. Sci. 47.4 (2001) 579–594. | DOI | Zbl
and , Inventory control in N warehouses. J. Industrial Eng. 16 (1965) 212–215.
, and , From waste to value – a system dynamics model for strategic decision-making in closed-loop supply chains. Inter. J. Production Res. 51 (2013) 4105–4116. | DOI
, and , An effective lateral transshipment policy to improve service level in the supply chain. Inter. J. Prod. Econ. 106 (2007) 115–126. | DOI
P. Milling and N. Schieritz, Modeling the Forest or Modeling the Trees: A Comparison of System Dynamics and Agent-Based Simulation. Proceedings of the 21st Inter. Conf. Syst. Dynamics Soc. (2003).
and , Participatory modeling and analysis for sustainable forest management: overview of soft system dynamics models and applications. Forest Policy and Economics 9 (2006) 179–196. | DOI
, , , A study of impact of inventory on supply chain management through lateral transshipment with special reference of SBIPL Indore. Inter. J. Manag., IT Eng. 2.12 (2012) 264.
and , A system dynamics model for information security management. Infor. Manag. 52 (2015) 123–134. | DOI
and , A supply network optimisation with functional clustering of industrial resources. J. Cleaner Production. 71 (2014) 87–97. | DOI
. Optimal policies for inventory systems with lateral transshipments. Inter. J. Production Economics. 118 (2009) 175–184. | DOI
, System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies. Inter. J. Production Economics. 144 (2013) 189–199. | DOI
, and , A disaster relief inventory model based on transshipment. Independent J. Manag. Production 4.2 (2013) 481-509.
, and , Knowledge flow in the academia-industry collaboration or supply chain linkage? Case study of the automotive industries in the jababeka cluster. Procedia - Social and Behavioral Sciences. 52 (2012) 62–71. | DOI
, , , , and , Optimal configuration of cluster supply chains with augmented Lagrange coordination. Comput. Industrial Eng. 84 (2015) 43–55. | DOI
A. Roy, S.S. Sana and K. Chaudhuri, Optimal Pricing of competing retailers under uncertain demand-a two layer supply chain model. Ann. Oper. Res. (2015) 1–20. | MR
, , , Joint decision on EOQ and pricing strategy of a dual channel of mixed retail and e-tail comprising of single manufacturer and retailer under stochastic demand, Computand Industrial Eng. 102 (2016) 423–434. | DOI
, An EOQ model for salesmen’s initiatives, stock and price sensitive demand of similar products-A dynamical system. Appl. Math. Comput. 218 (2011) 3277–3288. | MR | Zbl
, An EOQ model of homogeneous products while demand is salesmen’s initiatives and stock sensitive, Comput. Math. Appl. 62 (2011) 577–587. | DOI | MR | Zbl
, Price sensitive demand with random sales price-a newsboy problem, Inter. J. Syst. Sci. 43 (2012) 491–498. | DOI | MR | Zbl
, Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams’ initiatives, Inter. J. Syst. Sci. 47 (2016) 450–465. | DOI | MR | Zbl
N. Schieritz and A. Ler, Emergent Structures in Supply Chains: A Study Integrating Agent-Based and System Dynamics Modeling, Hawaii International Conference on System Sciences IEEE Computer Society. 94a (2003).
and , Eco-cities: An integrated system dynamics framework and a concise research taxonomy. Sustainable Cities and Soc. 17 (2015) 1–14. | DOI
, , A heuristic for balancing the inventory level of different locations through lateral shipments. Inter. J. Production Economics 131 (2011) 87–95. | DOI
and , Buyer-supplier transport access measures for industry clusters. J. Appl. Res. Technology. 12 (2014) 839–849. | DOI
, , , , and , A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains. Inter. J. Production Economics 147 (2014) 498–513. | DOI
, , Modelling of cluster supply network with cascading failure spread and its vulnerability analysis. Inter. J. Production Res. 52.23 (2014) 6938.
, and , Coordination game model of co-opetition relationship on cluster supply chains. J. Syst. Eng. Electronics 19 (2008) 499–506.
, , and , Lateral inventory transshipment problem in online-to-offline supply chain. Inter. J. Production Res. 54.7 (2016) 1951–1963. | DOI
Cité par Sources :
