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Safety management is an act of entrenching some fundamental guideline, framework, processes, principles and measures to mitigate accidents such as injuries and other related consequences that may be caused using a facility or a product. Thus,
the safety of any organization is a priority choice decision by any management to offer best safety system to all concerned. Obviously, safety management system comes with a very high premium and yet the implementation of safety precautions
nose dive with little or no credibility has created unstable state within workforce. In this study, we introduce an experimental design model known as the Central Composite Design (CCD) with five coded levels architecture of four factors that would give a functional relationship with the proposed global method for adequate fitting of data as generated from the compiled questionnaire. But for the purpose of this study, the author focus more on the design model that can be implemented with
computer application for a precaution model validation of the safety measures entrenched in Oil and Gas sector through the justification of data analysed from respondents. Safety management is complicated due to the complex "nature" of the workplace. Some of the safety factors that have been identified include risk management and site management, organizational complexity ratio and combinations of such factors connected to safety performance and the model as proposed has capacity to mitigate these excesses.