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• W3088571292 abstract "Transition times between value-adding operations often account for more than 90 % of lead times in workshop productions and vary greatly from order to order. However in day-to-day business, they are treated as static master data or only roughly estimated. One approach for a more precise prediction of future transition times of production orders is time series data mining. This paper presents a first application approach as basis for improving the quality of production planning. Based on empirical findings, future research issues are derived." @default.
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• W3088571292 date "2020-01-01" @default.
• W3088571292 modified "2023-09-23" @default.
• W3088571292 title "Application of time series data mining for the prediction of transition times in production" @default.
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• W3088571292 doi "https://doi.org/10.1016/j.procir.2020.04.054" @default.
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