the role of data quality and visibility in risk management and performance optimization in the downstream supply chain

One of the objectives of this research is to analyze the relationship between the quality of shared data and risk management in the supply chain. in this regard, a function for measuring visibility based on the data quality dimensions has been defined, and dimensions that are more significant in the downstream supply chain have been identified and introduced. subsequently, a single-objective mathematical model for production planning, allocation, and pricing, considering data quality and risk was developed. moreover, its applicability and validity were examined by solving a numerical example using gams software. this study highlights the importance of data quality in supply chain management, especially in the downstream supply chain where data quality significantly impacts decision- making. the results of this study can assist supply chain decision-makers in identifying the most critical dimensions of data quality and prioritizing their efforts to improve data quality. the proposed approach can also contribute to cost reduction and performance improvement by optimizing related decisions. overall, this research contributes to the existing literature on supply chain management and data quality by providing a comprehensive framework for assessing the impact of data quality on supply chain visibility and risk management.