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Supply chain vulnerability is likely to cause irreversible consequences. This paper describes the concept of fragile entropy in supply chain and builds a concrete model based on the idea of "external disturbance potential influence entropy change" from complex system perspective. This model is used to quantify the vulnerability of a typical shipbuilding supply chain. Introduction The supply chain itself is vulnerable to various kinds of risks, resulting in huge losses of enterprises. Therefore, the research of supply chain vulnerability has become the focus in supply chain management. Domestic research which is limited to qualitative aspects focus on the impact factors of supply chain vulnerability, whose quantitative research results are few. Abroad Svensson qualitative description of vulnerability through the theoretical framework of source of disturbance, category of disturbance and logistics model [1], and evaluates supply chain vulnerability from three dimensions of time relevance, functional relevance, relationship relevance[2]. Peck evaluates vulnerability from value streams / products and processes, asset and organizational infrastructure dependencies, networks within and within organizations, and environment[3]. Compared with mature field, the study of supply chain vulnerability is more macro, whose formation mechanism and quantitative research is insufficient, which is difficult to reveal the essence of system, so research on supply chain vulnerability in the perspective of complex systems is need [4]. Supply Chain Vulnerability Entropy Evaluation Model Helbing gives a method solving the actual effects of elements in complex systems[5].Suppose the supply chain system consists of m members, each member contains i resource elements, the direct impact of the resource j on the resource i , the previous symbol indicates the impact direction. The method of deciding M is to convert the expert's language evaluation information into triangular fuzzy number, and then obtain the corresponding clear influence value[6].First assume the number of experts is g , and the importance of the experts is the same, determine the expert set   g t E E t L , 2 , 1   . Then determine the language evaluation information   1 1 0    l h s S h , , , .The number of language variables is l . Language evaluation information kt d is the impact of the expert t E on the influence relation ij M . S dkt  . Express kt d using triangular fuzzy numbers:

Vulnerability Mechanism and Evaluation of Supply Chain Based on Dissipative Theory