This paper develops the game models of two symmetric supply chains, each consisting of one manufacturer and one retailer, while both retailers compete in the market with a linear function. The disclosure mechanism is designed when the information of the disrupted demand is asymmetric between supply side and retail side. We first study the model with the full information as a benchmark to explore the effect of asymmetric information on the system. In the case, each manufacturer maximizes her profit while the downstream retailer only obtains the reservation profit. For the case of asymmetric information, each manufacturer can obtain the real information of the disrupted demand by using a menu of contract bundles. For each information structure, there are always robust regions for each manufacturer’s original trading quantity scheme. That is, when the disrupted amount of the demand is sufficiently small, the trading quantity will be unchanged. However, some special measures, e.g., the higher unit wholesale price, should be taken to prevent the retailer from deviating the trading quantity scheme. The high-disruption retailer gets the higher profit due to the information rent. Compared with a single supply chain, Cournot competition results in the less retail price and the lower performance for the whole system.
We established a dual-channel cycle quality chain early warning network to improve the supply chain operation reference model. For a static early warning network, this paper analysed the cost account of a cycle quality chain under the network structure of positive and negative closed-loop control, as well as the structure of retail channel and e-channel control. In addition, an early warning security mechanism was proposed to handle the dynamic early warning network of a dual-channel cycle quality chain under the disturbance of e-channel lead time. Meanwhile, customised early warning security rules were defined to deal with different patterns of market environment with lead time disturbance. To verify the modelling framework and algorithm, we provided solutions to some examples of numerical cycle quality early warning network, which demonstrated that the disturbances have been relieved and controlled effectively.
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