Complexity / 2017 / Article / Tab 1 / Research Article
An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning Table 1 Original attributes of the maintenance work order.
STATE_WO Numerical categorical TYPE_WO Word categorical WO_NUMBER Alpha numerical REQUESTING_DEPT Word categorical REQUESTING_DATE Date REQUESTING_HOUR Date WORKSHOP Word categorical URGENCY Word categorical TERM_DATE Date WORK_DESCRIPT_1 Alpha numerical WORK_DESCRIPT_2 Alpha numerical HOMOGENEOUS_GROUP Numerical categorical LOCATION Alpha numerical ELECTRIC_CODE Alpha numerical SECTION Numerical categorical INSTALLATION Numerical categorical DEVICE_DESCRIPTION Alpha numerical PRINCIPAL_WO Alpha numerical ENROLLMENT Alpha numerical TYPE_REPAIR Word categorical SEQUENCE_NUMBER Numerical categorical TYPE_INMOBILIZED Numerical categorical OPERATORS_NUMBER Numerical ESTIMATED_REPAIR_TIME Numerical ASSET_CONDITION Word categorical TYPE_WORK Numerical categorical SCHEDULED_DATE Date SCHEDULED_HOUR Date WORK_DESCRIPT_1_FINAL_1 Alpha numerical WORK_DESCRIPT_1_FINAL_2 Alpha numerical IMPLICATION_FAULT Word categorical ELEMENT_FAULT Alpha numerical CAUSE_FAULT Alpha numerical SUBSTITUTION Alpha numerical ID_SUBSTITUTE_ENROLLMENT Alpha numerical ID_SUBSTITUTED_ENROLLMENT Alpha numerical START_DATE Date START_HOUR Date FINAL_DATE Date FINAL_HOUR Date REPAIR_TIME Numerical WORKFORCE_COST Numerical PARTS_COST Numerical ORDER_COST Numerical TOTAL_COST Numerical REPAIR_DATE Date
