Enhancement of Permit to Work System Toward Safety Risk Assessment Supporting by GPS Face Recognition and IoT Research on Company XYZ

Abstract

An increase in the number accident related to the permit to work (PTW) has overwhelming, as in the past, the explosion and fire accident which occurred in the Piper Alpha offshore oil and gas platform in 1988, have killed 167 workers, and also the lack of an issued permit for the actual job, was one of the reasons for the Hickson and Welch accident in 1992 was attributed mainly to human error including deficiencies in the permit to work (PTW) system. Moreover, at company XYZ (2015) because of PTW risk assessment is not adequately conducted onsite, and the technician neglect the potential hazard associated with his work, his experience a lost-time injury (LTI). Therefore, an enhancement of PTW by using GPS, Bio Metric (Face recognition) and IoT to make sure the worker doing PTW properly and make the risk assessment (process with Natural language) onsite before commencing the non-routine job is the essential safety requirement. This research is aim to enhance the existing conventional permit to work system (PTW) into ePTW, (Electronic Permit to Work) information system focus on creating Risk Assessment support by implementing a mobile cloud computing using GPS and Face recognition to verify that the workers are on-premises to do proper PTW and smart lock (IoT) to ensure the isolation done properly, all these features is to help reduce the probability of human errors or non-conformance. PTW enhancement evaluation is using Analytic Maturity Assessment Model to analyze whether the established system in the company or organization is mature enough and valuable of the safety processes and gives positive impacts to the company its overall business performance through safety best practice.