The Recearch Of Supply Chain Risk Of Pharmaceutical Industry Recognition Model Based On SCOR

With the globalization of competition, Supply Chain Management (SCM) has got more and more attention from both academic and industrial fields. Because of the anfractuosities of structure, instability of environment, managers Pursuing lean supply chain and neglecting risk management, and so on, supply chain is having been more and more subject to affected by all kinds of risks. Managing & controlling supply chain risk effectively make supply chain more resilient. A resilient supply chain is more robust so that it can mitigate even avoid the loss caused by risk. It also can improve operation efficiency of supply chain and reduce the cost of supply chain, which are helpful to the continuous development of corporation. So, it's significant in practice to managing and controlling supply chain risk. Therefore to study the causes behind supply chain risks and how to manage such risks is critical to a company's sustainable development.Chinese medicine enterprise face the huge market pressure, because the foreign medicine enterprise already utilized advanced accommodate chain management, high power network and database system. How size up the situation, adjust development strategy in time, cultivate and Promote the advantage of competing constantly, it is the new great subject that the medical industry of our country must solve to try to get new development in the challenge.This paper focuses on the theoretic model and data analysis, and attempts to build up a theoretic model concerning pharmaceutical industry supply chain risks, which is based on the former research achievements about supply chain risks, supply chain operations reference model (SCOR), characteristics of China's pharmaceutical industry, and interviews with pharmaceutical companies. In this model, supply chain risks faced by China's pharmaceutical industry are mainly from 8 aspects: strategy and culture, material purchasing, manufacturial controlling process, transportation, security, requirement, organization and relationship, as well as external environment.Then, we get research data through questionnaire among managers in pharmaceutical companies. We use Factor Analysis method to analyze the model from each element of supply chain risk sources whether it fits the data or not, and do some modification in the analysis process. The result of the data analysis proves that the "pharmaceutical industry supply chain risk recognition model based on SCOR" is well grounded in theory and practice. At last, some suggestions regarding pharmaceutical industry supply chain risk are provided to pharmaceutical companies for reference. Result from this study is not only of considerable value to pharmaceutical industry, but also an illumination for future research.