There is a high likelihood of injury occurring on a daily basis in an industry where the working environment comprises many people, processes and machines. As a result of this, one of our client’s key strategic focus areas is to provide a zero-harm environment for employees and service providers.

BSG utilised historical incident and injury-related data to predict future events based on the time of day (per hour), area of the plant where incidents occur, the nature of the activity and the classification of the incident. The solution comprised the following three initiatives:

1. Prevention of high risk incidents:

1. Identifying the types of incidents which pose the greatest threat of harm to workers
2. Identifying the time trends of these incidents, per hour
3. Identifying the location and frequency of these incidents
4. By assigning priority to high risk tasks, the client can prevent injuries which have a high reputational, social and monetary impact on the business
5. This solution is enabled through the development of an information delivery landscape catering to real time data streaming and incident-triggered communication responses

2. Prevention of service provider related incidents:

1. Create visibility and focus for the client on activities performed by service providers that cause a significant proportion of injuries in the plant
2. Confine these injuries by location in the plant, types of injuries incurred, time of day and where the plant is located

3. Predicting incidents by modelling near misses:

1. Construction of a model that identifies significant statistical relationships between near misses and incidents
2. Identify plant sections and sub-sections in which near misses can be used to predict the likelihood of an injury within a 95% confidence interval