Study On Supply Chain Decision Model Under Disruptions Based On Option Contract

Recent years, disruption events happen frequently which increase the uncertain factors insupply chain operations. It is critical important that members of supply chain could maintain thestability of supply chain performance under disruptions. From the viewpoint of mathematicalmodel analysis, the dissertation focuses on supply chain operation under disruptions by applyingcontract theory, non-linear programming and financial engineering methods, and extents theresearch to several different structure supply chains.The researches and the results of the dissertation are listed as following:(1) Establishing basic mathematical model of supply chain with optional contract. Themodel considers salvages of perished product, loss of shortage of product of supplier and retailer,redundant clearing price of supplier and retailer, and optimal channel of redundant clearing. Inthe central supply chain with optional contract, the decision maker optimize the total expectationprofit by choosing the better channel of redundant product clear under the consideration ofdifferent salvages of supplier and retailer. The applying of certain contract options increases thesupply chain flexibility under the uncertainty of market. The close form solutions of optimalquantity of initial order and options of retailer and the optimal quantity of supplier of twodifferent pattern of producing of make-to-inventory and make-to-order are obtained. Comprisingwith news vender model, the performance of supply chain with option contract improveexpectation profit of both the supply chain and its members.(2) By establishing an option contract model under disruptions in chronological order, weanalysis the optimum decision variables of two-phase supply chain, and application of optioncontract to manage the changes in the supply chain benefits which result from the changes ofmarket demand distribution under disruptions, and get optimal production supplier and optimalproduct order quantity and adjust quantity retailer. The conclusion is the option contract tosupply chain members to achieve shared interests and risks, effective response the changes inmarket demand under disruptions. The model and the optimal solutions are verified by numericalexample.(3) In a conditional value-at-risk framework, the supply chain management system model isproposed based on options contract under distruption. By establishing decision objective function, we get optimal product order quantity and adjust quantity retailer. It shows that themore risk-aversion of retailer which mean more afraid of risk, the less option exercise quantity.The disruption makes market demand change dramatically, no matter demand increase ordecrease, retailer can exercising an option contract through to adjust the order, better meet thedemand, increases the income and realize the disruption response.(4) By establishing the supply chain composed of single supplier and single retailer withB2B e-markets and traditional supply chain, and establishes an option contract model underdisruptions in chronological order. We show the supplier's optimal strategy, the retailer's optimalinitial order quantity products and option, the retailer's optimal option purchases and optimaltrading quantity with B2B E-markets under disruptions. Conclusion: The option contract tosupply chain members to achieve shared interests and risks, effective response the changes inmarket demand with B2B E-markets under disruptions. The model and the optimal solutions areverified by numerical example.(5) The model of two-echelon of retailer versus traditional supplier and spot market basedon B2B is established. First, the model of multi-suppliers and single retailer two-echelon underdisruption is studied, and the optimal decisions of supplies and retailer are obtained. Second, theresearch is extended to the model of multi-suppliers and multi-retailer two-echelon networksupply chain under disruption, and the optimal decisions of supplies and retailers are alsoobtained. Third, the model and the optimal solutions are verified by numerical simulations.