Establishing Data Quality Metrics: Framework For Manufacturing Applications

Author(s)	Srujana Manigonda
Country	USA
Abstract	In the manufacturing sector, data-driven decision-making is pivotal to optimizing production processes, reducing operational costs, and improving product quality. However, the effectiveness of these decisions is highly dependent on the quality of the data being utilized. This white paper presents a structured framework for establishing data quality metrics tailored to manufacturing applications. The framework emphasizes key data quality dimensions, accuracy, completeness, consistency, timeliness, and relevance, and explores their significance in critical manufacturing systems such as supply chain management, production monitoring, and predictive maintenance.
Keywords	Data Quality Metrics, Manufacturing Applications, Data Governance, Accuracy, Completeness, Consistency
Field	Lainnya
Published In	Volume 2, Issue 2, March-April 2020
Published On	2020-04-24
Cite This	Establishing Data Quality Metrics: Framework For Manufacturing Applications - Srujana Manigonda - IJFMR Volume 2, Issue 2, March-April 2020. DOI 10.36948/ijfmr.2020.v02i02.23368
DOI	https://doi.org/10.36948/ijfmr.2020.v02i02.23368
Short DOI	https://doi.org/g82h74

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