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Research On Supply Chain Resilience Measurement And Management Strategy Based On Biological Cellular Resilience Theory

Posted on:2016-07-18Degree:DoctorType:Dissertation
Country:ChinaCandidate:X P WangFull Text:PDF
GTID:1109330503477486Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
With rapid development of science technology and globalization, supply chains gradually evolve into complex network systems all over the world. Traditional supply chain management ideas, e.g. Lean Production, Global Sourcing, Business Outsourcing, etc., emphasize improving cost efficiency under normal operation, while making modern complex supply chain networks more and more vulnerable to disruption risks in the uncertain operation environment. Many serious disruption cases have brought supply chain security problems into the forefront of public attention. Supply chain resilience management is proposed to enhance the ability of supply chains to resist impacts of disruptions and quickly recover from disruptions. Considering supply chains under supply disruption and focusing on enhancing supply chain resilience against supply disruption, we study supply chain resilience measurement and management strategies in this dissertation. The main contents are as follows:(1) A supply chain resilience measurement model is developed based on biological cellular resilience theory. According to similarities between biological cellular resilience and supply chain resilience, a supply chain is viewed as a cell and a supply chain resilience model is established using the research methodology of biological cellular resilience. A resilience curve is depicted from the resilience model. Several key measurement indicators of supply chain resilience are extracted from the resilience curve and are integrated into a supply chain resilience measurement model.(2) The resilient strategy of contingent rerouting from supply side is studied. A mathematical model for product allocation behavior of a supply chain with multiple suppliers at each stage is established based on suppliers’ cost, capacity, quality, as well as decision-maker’s preferences. Then with the total outflow of the supply chain as performance measure, an optimization model is proposed to reallocate products through adjusting decision-maker’s preferences under disruptions. Numerical examples based on supply chain resilience measurement demonstrate the effect of the rerouting strategy and show the resilience of the supply chain.(3) The resilient strategy of price adjustment from demand side is studied. Two price adjustment strategies are established for a supply chain with vertical product differentiation both under normal operation and under disruption, with one aims at minimizing the market share loss and the other aims at minimizing the profit loss after supply disruption. Stackelberg equilibriums are obtained for the two strategies. The numerical analyses based on supply chain resilience measurement show the mechanism and condition of these two resilient strategies.(4) The combined resilient strategy of contingent rerouting and price adjustment is studied. Since various resilient strategies share common objective, a model of combined resilient strategy based on contingent rerouting and price adjustment is established for a multiple-supply and multiple-product supply chain. The supply recovery proportion and price adjustment amount are determined simultaneously. Numerical analyses based on supply chain resilience measurement demonstrate the combined resilient strategy can reduce the impact of supply disruption with the least possible overhead and lead to excellent resilience of the supply chain.This study is beneficial to improve the supply chain resilience theory, help enterprises to enhance their ability to fight against and recover from disruptive events, and maintain the healthy, sustained and steady development of social economy under impacts of disruptive events.
Keywords/Search Tags:Supply chain resilience, Supply disruption, Biological cellular resilience, Supplier selection and product allocation, Product substitution
PDF Full Text Request
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