Categorization and standardization of accidental risk-criticality levels of human error to develop risk and safety management policy. (June 2016)

• Record Type: Journal Article
• Authors: Kumar, Pramod; Gupta, Suprakash; Agarwal, Mudit; Singh, Umesh
• Is Part Of: Safety science. Volume 85(2016)
• Page Start: 88
• Page End: 98
• Publication Date: 2016-06
• Subjects: Human error -- Risk categorization -- Support vector machine -- Risk and safety management -- Mining activity; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2016.01.007
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: Risk potential of human error is assessed through retrospective analysis of incident/accident data from industries. Benchmark values for error rate and lost man hours are fixed. Proposed risk-criticality model helps to identify target areas of safety improvement. Case-based safety and risk management policy is recommended. Abstract: In addition to increasing mechanization, technology upgradation and process automation, safety enhancement in systems operation is one of the key parameters of productivity improvement. Now, it is an established fact that human error plays a crucial role in accidents and needs to be addressed adequately in risk and safety management. This paper aims at assessing, categorizing and setting standards for human error risk and criticality of system activities. Based on the classification and standardizations of human error rate, consequences of human error and criticality index of errors, different policy decisions for risk and safety management are suggested. The proposed methodology has been demonstrated with reference to the system activities of an underground coal mining system. However developed method can be equally adapted to other systems.