Data Collection and Incident Analysis Methods

6 data Collection andIncident Analysis INTRODUCTIONThe preceding chapters of this book have focused on how accidents due tohuman error can be prevented at source. These preventive measures includesystematic design strategies, techniques to identify potential errors with seri-ous consequences, and audits of performance-influencing factors in existingsystems to specify opportunities for improvements. To complement theseproactive strategies, it is important to have feedback systems in place so thatlessons can be learnt effectively from minor incidents, near-misses and frommajor accident investigations. This chapter describes a range of techniques andsystems to achieve these most plant managers, the term data Collection , at least in the context ofsafety, refers to the Collection of statistical data in areas such as lost-timeaccidents and other reportable injuries.

of data collection and incident analysis methods can be integrated. The impor-tance of effective data collection systems as part of the continuous improve-ment process in Total Quality Management. Types of Data Collection System (6.3) The major categories of data collection systems are described. These include:

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