Stochastic Model Of Supply Chain Contract Under B2B E-Marketplace

The progress of modern network and information technology impels B2B E-marketplace formation and growth. On E-marketplace, the spatial and temporal distances among players and the player's anonymity cause information asymmetry in online transaction. The auction's price bidding mechanism results in the manufacturer's competition. In addition, the e-intermediary with the service fee charge occurs on E-marketplace. All these characteristics on the E-marketplace have impact on the supply chain contract's features and the system's efficiency of E-marketplace. The dissertation analyzes the modeling of supply chain contract on B2B E-marketplace. On basis of stochastic inventory's newsvendor model and information revelation principle, the supply chain contract's basic stochastic optimization models are set up to reflect demand uncertainty and information asymmetry. In combination with auction theory and decision-preference utility functions, the supply chain contract stochastic models under competition structure and decision-preference retailers are set up. Furthermore, the dissertation gives the three-echelon supply chain's contract modeling to include e-intermediary revenue. The models are applied to discuss the impact from the e-marketplace features such as information asymmetry, manufacturer's competition and fee-charging and the e-marketplace body's decision-preference and market demand character on the supply chain contract and system's efficiency on the e-marketplace. The research focus is stated below.The basic stochastic optimization models of capacity reservation contract with options and buy-back contract on online-bargaining mode with one manufacturer and one retailer non-competitive structure are established. The models are optimized and numerically simulated. The models are used to analyze the optimal option quantity of online-bargaining capacity reservation contract and the optimal ordering quantity of online-bargaining buy-back contract, as well as channel coordination. The model analysis discloses the relationship between option price and execution price of the optimal contract with options and the relationship between wholesale price and rebate credit of the optimal buyback contract.Based on the above risk-neutral stochastic optimization models and the k-semi-variance mean risk model, the absolute-semi-variance mean stochastic optimization models of capacity reservation contract with options and buyback contract on online-bargaining mode with risk-averse retailer are established. The stochastic optimization models of capacity reservation contract with options and buyback contract on online-bargaining mode with loss-averse,waster-averse and stockout-averse retailers are set up, on basis of the above risk-neutral stochastic optimization models and decision preference utility functions. The models are optimized and simulated numerically. The model analysis draws out the optimal contract parameters of capacity reservation contract with options and buyback contract on online-bargaining mode with different decision-preference retailers. The retailer's decision preference's impact on the channel coordination and system efficiency is argued following the model analysis.The stochastic optimization models of capacity reservation contract with options and buyback contract under online reverse auction mode with multi-manufacturers and one-retailer competitive structure are established on basis of SIPV model of direct auction mechanism and stochastic inventory newsvendor model. The model analysis and numerical simulation are carried out. The model analysis furnishes with the optimal parameters of capacity reservation contract with options and buyback contract under the online reverse auction competition mechanism. By employing the model optimization and numerical simulation, the relationship between supply chain efficiency with its member's transfer payment and the factors such as competition and information asymmetry is drawn out.The stochastic optimization model of pricing buyback contract under online reverse auction is set up based on the above stochastic model of buyback contract. The model is optimized on hypothesis that the demand and price correlation is multiplicative or additive. The existence conditions of the optimal solution and the optimal contract parameters are exhibited on the above two correlation situations. The impact of the manufacturer's cost on the risk of resale revenue is argued on the above two correlation hypotheses.The stochastic optimization models of the complex contract with options and side payment under the various e-commission mechanisms are set up in view of the stochastic model of capacity reservation contract with options on online reverse auction. The models are analyzed to acquire the optimal option quantities under the various e-commission mechanisms. The supply chain coordination with the complex contract with options and side payment on the online reverse auction mode is discussed by employing the optimal option quantities under the various e-commission mechanisms.The dissertation finally systematically discussed the supply chain efficiency and channel coordination on B2B E-marketplace according to the analysis of supply chain contract stochastic models on B2B E-marketplace so as to provide the advice for the sustainable development of B2B E-marketplace.