Here, we consider the development of a model for decentralized supply chain network in markets.
Calvete et al. (2014) investigated decentralized supply chain network including manufacturing plants, warehouses and customers.
The analytic forms confirm that such an incentive can improve the decentralized supply chain efficiency and decreases the supplier's trade credit risk.
We then evaluate the decentralized supply chain's performance in responding to humanitarian crises through an analysis of the IFRC's operations during the Yogyakarta earthquake in 2006.
Wang (2009) studied a decentralized supply chain consisting of a single manufacturer and a single distributor for a short lifecycle product with random yield and uncertain demand as in the semiconductor industry.
Base on limitation aforementioned, recall that the problem to be addressed is a joint production distribution model in decentralized supply chain consisting of multiple manufacturing plans, distributions centers (DCs) and customer groups that aim to overcome the aforementioned limitations.
This paper presents the competitive supply chain network design problem in which (n) decentralized supply chains simultaneously enter the market with no existing rival chain, shape their networks and set wholesale and retail prices in competitive mode.
Through this paper, we continue to demonstrate the use of the SIM-OPT framework in studying decentralized supply chain dynamics, and, in particular, the utility of detailed manufacturing models.
We propose a novel game-theory-based stochastic model that integrates two-stage stochastic programming with a single-leader-multiple-follower Stackelberg game scheme for optimizing decentralized supply chains under uncertainty.
Bichescu and Fry (2009) analyzed decentralized supply chains, which followed continuous review (Q, R) inventory policies considering VMI agreements where the supplier chooses the order quantity Q, and the retailer chooses the reorder point R. The effect of divisions of channel power on supply chain and individual agent performance is investigated by examining different game theoretic models.
A simple decentralized supply chain is shown in Figure2.
