Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics

An approach to predict standard times for upcoming individual customer orders based on historical production orders is developed. The approach follows the CRISP-DM model with regard to the steps data preparation, modeling and evaluation. A precision steel tube straightening machine is provided as a validation example. Furthermore, the paper focuses on how the standard time prediction approach can be successfully integrated into the IT infrastructure of a production focused company. Especially data availability and accessibility in enterprise resource planning systems are discussed. The presented approach offers users the value of more precise scheduling in production than established approaches.