## 1 Introduction  
The Occupational Safety and Health (OSH) standard and adopting proper practices can ensure a safe and conducive work environment [1]. The other advantages of adopting proper OSH practices are a reduction in the disruption to operating hours and an increase in cost optimisations, employee moral values, and the creation of a positive work culture by lowering the frequency of accidents in the workplace [2]. Based on the statistics on occupational poisoning and diseases reported by the Department of Occupational Safety and Health (DOSH) in a report in 2019 [3], 92% of these cases were occupational noise-induced hearing disorders. Noise-induced hearing loss is not given enough attention because it is a concealed hazard that affects workers over time. [PERSON] et al. [4] stated that most workers in the manufacturing industry were subjected to high-risk occupational noise, and an efficient solution must be created as a preventive measure [4]. The word \"noise\" originates from the Latin word \"nausea\" and refers to an unpleasant sound that can negatively impact one's health or communication [5]. [PERSON] [6] defines noise as a sound or sounds of sufficient loudness to create irritation or interference with conversation. Many people have been exposed to noise at work, which is the second leading cause of hearing loss, followed by the ageing process [7]. Manufacturing operations create noise as an unwelcome byproduct of their output [8], with manufacturing industries accounting for more than 70% of noise exposure [9]. For example, noise measurements have recorded levels as high as 95.3 dB during CNC machine operations, exceeding legal exposure limits [10]. The highest environmental noise level and individual noise intensity were found to occur in sandblasting and grinding positions, with individual noise intensities of 115.5 dB(A) and 108.4 dB(A), respectively [11]. Noise exposure is typically assessed in terms of the ears of the employee without considering any protective measures, and prolonged exposure to 85 decibels (dB) is deemed to present excessive danger to a person's hearing [12]. The National Institute of Occupational Safety and Health estimates that 14% of employees experience noise levels over the legal limit [13]. Hearing loss may be transient or irreversible, contingent upon the degree and severity of the exposure. The consequences are typically progressive and may remain unrecognised for several years until damage has transpired and symptoms manifest as a concern for the individual [14]. Similarly, brief exposure to extremely high noise levels, such as impulsive noise from hammering, explosions, and similar activities, can quickly be detrimental. As a result, it is imperative to mitigate harmful noise exposure to prevent noise-induced hearing loss proactively [15]. Traditionally, a noise floor is created through manual measurement and mapping of the environment. This method is only applicable for the stages after workers have been exposed to noise-related risks. As for noise prediction, the methods available are minimal and resource-intensive. Therefore, a simple simulation algorithm would help predict noise levels and mitigate risk. Currently, researchers utilise several noise simulation techniques, but these methods have their limitations. There have been studies conducted using the SCANAM method (Simple Cheap Accurate Noise Assessment Method) [16], the Building Information Modelling (BIM) method [17], and the 4D acoustic simulation approach [18]. The SCANAM method provides a cost-effective and precise means of measuring sound exposure; however, it is not suitable for simulation purposes. The BIM method and the 4D acoustic simulation approach are capable of performing simulations and predicting outcomes, but these methods are not readily applicable. Each of the current techniques have common disadvantages, which include the lack of a user-friendly GUI, no customizability for specific scenarios, and an inability to integrate occupational safety and health regulations into the analysis code.