جستجوی مقالات مرتبط با کلیدواژه « Drug Supply Chain » در نشریات گروه « مدیریت »

Since Iran is under sanctions for political and economic reasons and instability caused by them, high uncertainty is caused by many modern drug supply chain network parameters. Hence, this study is an attempt to present a dynamic model of the resilient drug supply chain system, considering economic, political, and logistical risks. The model presentation process in this research is done in three stages. Based on the results of a library study on the theoretical foundations and research background, resilience indicators in the supply chain are extracted in the first stage. In the second stage, the resilient model is extracted in the supply chain of the mentioned industry. After performing the necessary analyses, it is modeled, and finally, using a case study, the desired outputs and strategies are obtained. This study shows that to achieve the highest level of chain resilience, the best decision is to implement three investment strategies, human capital development and accelerating the completion of the projects based on prioritization simultaneously.

An agile supply chain can respond quickly and cost-effectively to unexpected changes in the market and increase the levels of environmental turmoil regarding both volume and variety. This study aims to present a model for the interactions of pharmaceutical supply chain agility (SCA) factors. In this study, the interactions of variables influencing pharmaceutical SCA were determined using the interpretive structural modeling (ISM) approach. The variables affecting SCA were extracted through library research and thematic literature, and the final variables were entered into the model using experts' views. These variables were classified according to their strength and dependence into 10 levels and 17 variables, and the relationships were determined at different levels. The results show that the indices of information technology, information sharing and organization integrity are the foundation of the supply chain agility and are the most influential indicators. MicMac analysis and the DEMATEL technique were used to test and confirm the model. ISM provides a way by which order can be imposed on the complexity of such variables. This insight from the model helps strategic planning managers to improve the SCA.

Today with the complexity of supply chains despite the high level of uncertainty caused by disturbances, disordered behavior, challenges and threats, its management has become a challenging task. Although a well - built supply chain has high operational efficiency, existing risks are still a concern and should not be ignored because in today’s turbulent and uncertain markets, supply chain vulnerability has become an important issue for many companies. Supply chain resiliency is a subject that is responsive to very high chain risks. The aim of this research is to present a model of interactions of supply chain resiliency factors in drug industry. In this paper, using interpretive structural modeling, the interaction of variables affecting the resiliency of supply chain has been presented. By studying the library and literature the variables affecting the resiliency of supply chain were extracted and the final variables were entered. These variables were classified and classified at different levels according to their power and affiliation and to test and confirm the model, MICMAC analysis and DEMATEL technique have been used. ISM provides a method by which order can be imposed on the complexity of such variables. This insight from the model helps supply chain managers in strategic planning to generate and improve the supply chain.

In the last two decades due to globalization of supply chain, enormous changes occurred in chains. Leaders in this field, always facing new risks and disorders that should prepare themselves to deal with them. In the recent years, sanctions as one of the most serious risks have damaged the supply chains. However, in the research related to global supply chains, modeling of disruption has been neglected. The purpose of this study was the modeling of drug supply chain at the tactical level in terms of sanction impairing. Physical and financial flow and their disruption in the term of sanction have been modeled simultaneously. To complete the financial flow, financial statements have also been modeled. One of the newest approaches named Robust Possibilistic Programming has been used for the modeling of the uncertainty of the problem. The model has been implemented on a drug organization called Atra and the results have been analyzed and validated by the optimization software Gams. The results show a robust and resistant system in the case of sanction disruption that without violating the constraints of the problem shows the appropriate measures to deal with the problem.