Data Mining Model Building as a Support for Decision Making in Production Management

Proactive Approach to Manufacturing Planning

“…This way we can search for interesting relationships between many indicators at the same time and establish the required settings for independent variables (various indicators) in order to anticipate desirable local trend for dependent variable (target indicator) (Tanuska et al 2012). …”

Identification of commercial blocks of outstanding performance of sugarcane using data mining

“…The patterns associated with blocks of superior performance can be used to confirm that certain measures result in greater productivity, while low performance patterns indicate the need for improvement in management, or the identification of specific conditions that should be avoided (TANUSKA et al., 2012;VAZAN et al, 2011). The performance of a given block is considered to be the difference between the yield of the block and the average yield of the homogeneous group that it belongs to.…”

“…Given the large number of variables submitted for analysis in this type of study (TANUSKA et al., 2012;VAZAN et al, 2011;LAWES & LAWN, 2005), data mining techniques are a promising alternative due to their ability to address complex databases with noise (HAN et al, 2012), a common feature of commercial block databases. In particular, the regression tree induction technique is able to identify and rank the factors that influence a production system (WITTEN & FRANK, 2011), and may be useful for establishing potential yield groups to determine the performance of blocks.…”