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Abed, Reyhaneh, Sargolzaei, Mostafa, Amiri, Maghsoud, Dehghan Dehnavi, Mohammad Ali. (1404). A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach. , 59(2), 425-449. doi: 10.22059/aie.2025.388627.1935
Reyhaneh Abed; Mostafa Sargolzaei; Maghsoud Amiri; Mohammad Ali Dehghan Dehnavi. "A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach". , 59, 2, 1404, 425-449. doi: 10.22059/aie.2025.388627.1935
Abed, Reyhaneh, Sargolzaei, Mostafa, Amiri, Maghsoud, Dehghan Dehnavi, Mohammad Ali. (1404). 'A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach', , 59(2), pp. 425-449. doi: 10.22059/aie.2025.388627.1935
Abed, Reyhaneh, Sargolzaei, Mostafa, Amiri, Maghsoud, Dehghan Dehnavi, Mohammad Ali. A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach. , 1404; 59(2): 425-449. doi: 10.22059/aie.2025.388627.1935

A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach

Advances in Industrial Engineering
دوره 59، شماره 2، اسفند 2025، صفحه 425-449    اصل مقاله (992.44 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/aie.2025.388627.1935
نویسندگان
Reyhaneh Abed1؛ Mostafa Sargolzaei* 2؛ Maghsoud Amiri3؛ Mohammad Ali Dehghan Dehnavi4
1Ph.D. Candidate, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.
2Associate Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.
3Professor, Department of Management of Operations and Information Technology, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
4Assistant Professor, Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.
چکیده
Objectives: This study aims to identify the key factors influencing credit risk in supply chain finance (SCF), determine the main subsystems, and present a simulation model for credit risk in SCF using a dynamic systems analysis approach.
Method: The research employs a two-tier supply chain financial model, consisting of a buyer company (core company) and a seller company (supplier) in the pharmaceutical industry. The factoring method is used as one of the SCF techniques to construct the supply chain financial model using a dynamic systems analysis approach. Vensim software is utilized for the simulation.
Results: The study identifies the subsystems, key factors influencing credit risk in SCF, causal relationships, delays between these factors, and a systemic view of credit risk in SCF. The findings show that the credit risk of small and medium-sized enterprises (SMEs), decreases when they participate in SCF. A sensitivity analysis of three key variables was conducted by simulating changes in critical parameters over a five-year period. The results highlight that the financial conditions of both the supplier and the main company, macroeconomic and industry risk, supply chain position, the quality of credit risk management by the lending bank, and the effectiveness of risk intermediaries significantly impact credit risk in SCF.
Innovation: This study is the first in the country to develope a simulation model of credit risk in SCF using a dynamic systems analysis approach. It specifically analyzes and evaluates the credit risk of SMEs (supplier companies) within the context of SCF participation.
کلیدواژه‌ها
Causal Loops Diagram؛ Credit Risk؛ Dematel؛ Supply Chain Finance(SCF)؛ Dynamic System Analysis Approach
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