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Journal Article

Citation

Chi CF, Lin SZ. Appl. Ergon. 2018; 68: 338-348.

Affiliation

Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, 106, Taiwan.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.apergo.2017.12.007

PMID

29409653

Abstract

The current study analyzed 312 caught-in-between fatalities caused by machinery and vehicles. A comprehensive and mutually exclusive coding scheme was developed to analyze and code each caught-in-between fatality in terms of age, gender, experience of the victim, type of industry, source of injury, and causes for these accidents. Boolean algebra analysis was applied on these 312 caught-in-between fatalities to derive minimal cut set (MCS) causes associated with each source of injury. Eventually, contributing factors and common accident patterns associated with (1) special process machinery including textile, printing, packaging machinery, (2) metal, woodworking, and special material machinery, (3) conveyor, (4) vehicle, (5) crane, (6) construction machinery, and (7) elevator can be divided into three major groups through Boolean algebra and MCS analysis. The MCS causes associated with conveyor share the same primary causes as those of the special process machinery including textile, printing, packaging and metal, woodworking, and special material machinery. These fatalities can be eliminated by focusing on the prevention measures associated with lack of safeguards, working on a running machine or process, unintentional activation, unsafe posture or position, unsafe clothing, and defective safeguards. Other precise and effective intervention can be developed based on the identified groups of accident causes associated with each source of injury.

Copyright © 2017 Elsevier Ltd. All rights reserved.


Language: en

Keywords

Boolean algebra; Fault tree; Minimum cut set (MCS)

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