Industrial Safety Management by J Maiti & Pradip Kumar Ray

Author:J Maiti & Pradip Kumar Ray
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore

DT algorithm is important for interpreting the results of prediction of target variable in terms of a logical set of rules. Once DT is constructed, rules can be easily generated. However, while ensemble technique is used on single base DT classifier, it is very hard to interpret the rules from ensembled trees or a collection of trees. Thus, for understanding purpose, rules generated from C5.0 algorithm are discussed only in this paper. Each of the rules indicates the injury or non-injury cases as consequences.

There is a set of such 108 rules generated from C5.0 algorithm of which only top 24 rules explaining most frequent injuries are tabulated in Table 6.1. Among them, one of the important rules occurring most frequently is skidding which occurs in blast furnace and sinter plant area. This may be due to the fact that pallets, which are spherical in shape and are used in those area, are often found lying down on floor area which causes skidding. Another rule explains that during lifting tools and tackles, workers get injured mostly. This may be due to the improper or no training to the workers while in operating with lifting tools such as electric chain hoists, eye bolts, D-shackles, chains in the workplace. Lack of carefulness during works may also result in injury. Similarly, another interesting rule is during the month of April and December, injuries occur most frequently in Blast furnace area. If the management take care of the factors, which are identified as decision rules, leading to accidents in workplace, it becomes easier for the organization to reduce the number of accidents. Thus, the C5.0 algorithm has more potential to explore the hidden rules from the accident data, and help the organization in decision making in risk management.Table 6.1Top 24 rules explaining most frequent injuries

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