Provide a mathematical model for a specific order to the drug supplier in the supply chain

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 268

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شناسه ملی سند علمی:

JR_IJFMA-6-24_015

تاریخ نمایه سازی: 10 آذر 1400

چکیده مقاله:

Production systems must increase the productivity of their organizations day to day, in this section, the issue of proper selection of suppliers is discussed. Suppliers of industrial organizations usually produce parts and the task of management is to select the right suppliers. The selection of suppliers can be associated with resilience indicators and thus significantly reduce the likelihood of malfunctions. The purpose of this study is to investigate the situation in which there are a number of suppliers from whom orders should be placed and also the orders should be such that the chain has good resilience. In this study, the community of managers of pharmaceutical companies have been selected through snowball sampling. Structural relationships between indicators were determined using DEMATEL method to determine the importance of each resilience factor in determining the resilient supplier and fuzzy ANP method was used to prioritize each supplier based on the identified criteria and then by presenting a planning model. Integrated number for optimal order allocation to suppliers introduced and described using the results of this study to identify supply chain resilience as a criterion for supplier prioritization and order allocation, selection of suppliers in this company and other companies Similarly, by collecting the required information of the models to be done systematically and scientifically.

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نویسندگان

batool askaryan

Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Mohammad Ebrahim Pourzarandi

Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

jalal haghighat monfared

Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran