• Md Zakir Hossan
• Ahnaf Aiman Abdi
• KR Hossain

Manufacturing enterprises rely on information systems such as manufacturing execution systems to achieve efficient production planning and control, but enterprises are a reality. In the information system implementation process, many obstacles are often encountered, and the implementation of information systems fails. Among these failures, inaccuracies in data and poor data quality in a broader sense are considered to be significant factors. To address this issue, a production-control-oriented data quality assessment and analysis framework are proposed that is divided into four steps: building a data model, selecting data and metrics, implementing metrics, and analyzing results. This framework helps enterprises identify the causes of data quality problems by assessing the implementation quality of production management information systems and the current production control data quality level. Finally, we have realized this framework and verification using a Chinese auto parts manufacturer as an example. The results show that the framework can provide effective guidance for quality assessment and analysis of production control data.

production planning and control; data quality, manufacturing enterprises, MES, quality and analytical framework

"Assessment and analysis of data quality systems for the production process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.e843-e851, September-2022, Available :http://www.jetir.org/papers/JETIR2209499.pdf

"Assessment and analysis of data quality systems for the production process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppe843-e851, September-2022, Available at : http://www.jetir.org/papers/JETIR2209499.pdf