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In this thesis we consider four multivariate models (i.e. three multiple regression models respectively) that captures the forecast mechanism of yearly total observation (YTO) of Man-Hour Worked for accident, man-hour lost for cost reduction, maintenance trend and Cost Reduction Linear Programming (LP) Model at the Kaduna Refining and Petrochemical Company (KRPC). Data were collected from Health, Safety and Environment Department (HSED), Planning Budget and Monitoring Department (PBMD) of KRPC records and classified into purposeful and logical categories for analysis. Multiple regression model was adopted as the suitable model for predicting the yearly total observation of man-hour worked as a result of accident in the system, man-hour lost as a result of accident which will assist the management in putting resources in place that will reduce cost in the system and maintenance models that will inform progressive routine maintenance plan in the system. Keywords: KRPC, Safety, Accident, Maintenance, Man-hour Loss, Man-hour worked, Fire incident, Oil spillage, work permit.

Determination of Kaduna Refining and Petrochemicals Company Limited (KRPC) Safety and Cost Reduction Models