Comprehensive Validation of the Regeneration Workload Forecast for Complex Capital Goods Using Data Mining

Steffen C. Eickemeyer, Cameron Tucker, Simon Steinkamp, Sebastian Schafer
2015 International Journal of Business Administration and Management Research  
Capacity planning in the regeneration of complex capital goods faces major challenges because it is affected by a high level of uncertain workload information. A methodology is developed here to predict the regeneration workload on the basis of the CRISP-DM model using Bayesian networks. The forecasts are validated for the different capacity planning levels. The results support the conclusion that capacity planning can gain permanent benefits from the methodology developed.
doi:10.24178/ijbamr.2015.1.2.01 fatcat:p6fexwr5gzdm3og72u67npahra