TY - JOUR
T1 - Evolutionary dynamics of two-actor VMI-driven supply chains
AU - Torres, Fidel
AU - García-Díaz, César
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media, LLC.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The strategy of integration known as vendor-managed inventory (VMI), which allows the coordination of inventory policies between producers and buyers in supply chains, has long been considered a strategy for inventory cost reduction. Although the literature acknowledges the importance of understanding the dynamics of VMI implementation through evolutionary games, research in this topic still remains scarce. This paper studies the dynamics of strategic interaction of a producer–buyer supply chain under a newly developed VMI scheme, which makes use of a synchronization mechanism between the buyer and the producer replenishment cycles. By using this alternative VMI representation, we obtain the mathematical conditions that determine the degree of stability of evolutionarily stable strategies. As other evolutionary game theoretical approaches, we also find a lower bound for penalty costs that ensures a VMI contract, but most importantly, we also find how a VMI implementation might depend on the difference between production and demand rates, regardless of any penalty costs.
AB - The strategy of integration known as vendor-managed inventory (VMI), which allows the coordination of inventory policies between producers and buyers in supply chains, has long been considered a strategy for inventory cost reduction. Although the literature acknowledges the importance of understanding the dynamics of VMI implementation through evolutionary games, research in this topic still remains scarce. This paper studies the dynamics of strategic interaction of a producer–buyer supply chain under a newly developed VMI scheme, which makes use of a synchronization mechanism between the buyer and the producer replenishment cycles. By using this alternative VMI representation, we obtain the mathematical conditions that determine the degree of stability of evolutionarily stable strategies. As other evolutionary game theoretical approaches, we also find a lower bound for penalty costs that ensures a VMI contract, but most importantly, we also find how a VMI implementation might depend on the difference between production and demand rates, regardless of any penalty costs.
KW - Dynamical systems stability
KW - Evolutionary game theory
KW - Supply chain coordination
KW - Vendor-managed inventory
UR - http://www.scopus.com/inward/record.url?scp=85028980519&partnerID=8YFLogxK
U2 - 10.1007/s10588-017-9259-z
DO - 10.1007/s10588-017-9259-z
M3 - Article
AN - SCOPUS:85028980519
SN - 1381-298X
VL - 24
SP - 351
EP - 377
JO - Computational and Mathematical Organization Theory
JF - Computational and Mathematical Organization Theory
IS - 3
ER -