{'fraction_non_alphanumeric': 0.024922118380062305, 'fraction_numerical': 0.0, 'mean_word_length': 5.366336633663367, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A SLIM based methodology for human reliability analysis of lifting operations

Investigations have shown that human error (HE) is the most common cause of accidents involving lifting operations. So it is essential to conduct human reliability analysis (HRA) in lifting operations. The estimation of human error probabilities (HEPs) is a key to HRA. In this paper, six useful performance shaping factors (PSFs) of lifting operations were introduced and the success likelihood index method (SLIM) was applied to determine the HEPs of various lifting operation errors. A numerical example demonstrated the effectiveness of the proposed approach.