Near‐Miss Incident Management in the Chemical Process Industry

This article provides a systematic framework for the analysis and improvement of near-miss programs in the chemical process industries. Near-miss programs improve corporate environmental, health, and safety (EHS) performance through the identification and management of near misses. Based on more than 100 interviews at 20 chemical and pharmaceutical facilities, a seven-stage framework has been developed and is presented herein. The framework enables sites to analyze their own near-miss programs, identify weak management links, and implement systemwide improvements.

[1]  Tjerk W. van der Schaaf,et al.  Near miss reporting in the chemical process industry: An overview , 1995 .

[2]  George Eckes,et al.  The Six Sigma Revolution: How General Electric and Others Turned Process Into Profits , 2000 .

[3]  Christian Kirchsteiger.  The functioning and status of the EC's major accident reporting system on industrial accidents , 1999 .

[4]  Simon Jones,et al.  The importance of near miss reporting to further improve safety performance , 1999 .

[5]  Joseph J. Cramer,et al.  Risk assessment and risk management for the chemical process industry , 1991 .

[6]  Gary F. Bennett,et al.  Quality management of safety and risk analysis , 1995 .

[7]  Vicki M. Bier,et al.  The analysis of accident precursors and near misses: Implications for risk assessment and risk management , 1990 .

[8]  George L. Germain,et al.  Practical loss control leadership , 1996 .

[9]  Vicki M. Bier,et al.  The performance of precursor-based estimators for rare event frequencies , 1995 .

[10]  Diane Vaughan,et al.  The Challenger Launch Decision: Risky Technology, Culture, and Deviance at NASA , 1996 .

[11]  James G. March,et al.  Learning from samples of one or fewer* , 1991 .

[12]  Shahid Abbas Abbasi,et al.  The world's worst industrial accident of the 1990s what happened and what might have been: A quantitative study , 1999 .

[13]  James W. Johnson,et al.  The US NRC's accident sequence precursor program: an overview and development of a Bayesian approach to estimate core damage frequency using precursor information , 1996 .

[14]  John Stufken,et al.  Taguchi Methods: A Hands-On Approach , 1992 .

[15]  Dennis C. Hendershot,et al.  No good deed goes unpunished: Case studies of incidents and potential incidents caused by protective systems , 1997 .

[16]  T. W. van der Schaaf,et al.  Near Miss Reporting as a Safety Tool , 1991 .

[17]  Stan Kaplan.  On the inclusion of precursor and near miss events in quantitative risk assessments: A Bayesian point of view and a space shuttle example , 1990 .

[18]  Stan Kaplan,et al.  ‘Expert information’ versus ‘expert opinions’. Another approach to the problem of eliciting/ combining/using expert knowledge in PRA , 1992 .