查看文章

Engaging in any business activity or event inevitably carries various uncertainties and potential risks. Simply put, a risk involves the likelihood of a negative event occurring and the resulting consequences (Boholm et al., 2019). To manage the risks associated with a specific activity, one can take measures to prevent these potential consequences from happening. This approach is crucial across diverse business sectors, with a particular emphasis on manufacturing. Identifying inherent risks in a given activity is a common practice in these sectors, allowing for informed decisions to either minimize or alleviate these risks to an acceptable level. As highlighted by Major et al.(2018), industries must prioritize the safe operation of their facilities and employ robust risk management techniques when planning and executing their activities. For instance, the utilization of Personal Protective Equipment (PPE) plays a critical role in safeguarding workers and significantly reducing the risk of exposure to hazards, especially in industrial settings. PPE is typically used to shield individuals from workplace health and safety risks. Furthermore, the use of safety gear such as safety boots and hard hats is imperative in hazardous activities involving potential collisions with fixed objects like pipework, machinery, and scaffolding, as well as transport activities with the risk of falling materials, such as hoists, lifting equipment, and conveyors (Major et al., 2018). Consequently, it is evident that risks associated with events of this nature should be either prevented or eliminated.

It is worth noting that the substantial advancements in deep neural networks can be directly harnessed …