| The production plans of enterprise often can’t be realized because of emergencies. As the global competition increased, the competition between enterprises has evolved into the competition between supply chains. The external environment is changing all the time, as a result it’s unrealistic to study the balance of supply chain network in the deterministic environment. Based on this, this article will study the supply chain network’s equilibrium problem in the uncertain environment with emergency.Based on the uncertainty theory, finite dimensional variational inequality, projection algorithm and fuzzy random simulation, we build a supply chain network with multiple competed manufacturers and multiple competed retailers. We study the supply chain network equilibrium and the re-establishment of equilibrium when faced with unexpected events which have broken the original equilibrium. Based on the different demand situations the retailers facing, we discuss how to re-establish the broken equilibrium with the quantity discount contract and buy-back contract.In this paper, the contents and innovations are summarized as follows:1In the uncertain environment, we depict the manufacturers and the retailers’ optimal conditions by the finite dimensional variational inequlity theory,2Proving the existence and uniqueness of the optimal solution on network equilibrium, elaborating the projection algorithm and simulation algorithm.3under the uncertain environment, discussing the re-establishment of equilibrium by introducing contracts such as quantity discounts contract, buy-back contract.4. Disgussing the contract parameters’value’s range, and then gaining the conditions the parameters should be met when the contract is effective.5Designing quantity discount contract and buy-back contract between manufacturers and retailers which can adjust their production and ordering plans according to their actual situations. So that their maximum profits are ensured. |
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