The upcoming industrial revolution is posing unprecedented challenges for many companies, such as labor shortages, scarce training resources, and a growing emphasis on high-mix, low-volume production within the manufacturing sector. These factors make it challenging for employees to swiftly acquire new skills, leading to repercussions on product quality and delivery timelines. The company's reputation and revenue could be jeopardized if this situation persists. To address this issue, Aetina and Solomon Group have collaborated to create SOP AI—an AI solution designed to assist employees in navigating complex tasks with visual on-screen instructions, streamlining operations, and enhancing precision.
The Pain Points
Labor Shortage
As the youth population share declines and society ages, more and more jobs at all levels are going unfilled, leading employees to take on numerous roles and handle projects of various nature.
Expecting employees to quickly upskill or reskill as job requirements change is unrealistic. Consequently, they struggle to effectively carry out new tasks, resulting in a decline in their work quality and efficiency. This, in turn, affects the overall quality of the company's products and services.
Learning and Development Tools Are Scarce
Due to inadequate training, employees lack the necessary skills and knowledge to perform their tasks to the company's standards. This deficiency can result in a decrease in the quality of products and services, lower customer satisfaction, and ultimately, a decline in the company's competitiveness.
When confronted with new challenges, untrained employees are prone to making frequent errors, leading to heightened stress, decreased job satisfaction, and diminished loyalty. If left unresolved, this issue could drive up employee turnover, escalating recruitment costs and hampering productivity and morale within the company.
Over time, a workforce that remains inadequately trained or skilled for their roles will struggle with problem-solving and innovation. Consequently, the company's capacity to innovate and adapt to market fluctuations will be compromised.
High-Mix, Low-Volume Production Mode
When faced with a “High-Mix, Low-Volume Production Models”, employees often need to acquire new skills. If timely and consistent training is not provided, skill gaps may emerge, potentially leading to human error.
Employees must frequently adapt to different production requirements, standards, and tasks, which can be tiring and dissatisfying. This can negatively impact their morale and job satisfaction, and may even contribute to high turnover rates.
High turnover rates create a vicious cycle of constant recruitment and training, increasing costs.
Moreover, inadequate training for new employees can lead to extended learning curves and reduced efficiency. This can impact on the quality of the product and service, increase operational costs, and ultimately harm the company's reputation.
Solution
To address the said challenges facing the manufacturing industry, Aetina and Solomon have collaborated and developed an AI-powered SOP behavior detection system.
Leveraging AI visual technology, employees can follow on-screen instructions to accurately adhere to production processes. Any deviation from standard operating procedures is promptly detected and corrected, significantly reducing human error and quality issues.
How Does SOP AI System Work?
To provide real-time guidance for new employees, the powerful Aetina AIE-KX13/23 is essential. Equipped with the NVIDIA Jetson AGX Orin, it offers up to 275 TOPS of computing power, enabling rapid processing of large quantity of data.
Once the AI training is completed, SOP verification can be executed through the deployment of Solomon’s META-aivi visual algorithm and augmented reality (AR).
The system can perform real-time inference and identification, guiding employees through visual instructions by connecting to on-site cameras. This can ensure the following:
- 1. Strict adherence to the standard operating procedures,
- 2. Minimizing human error,
- 3. Enhancing product quality,
- 4. Bolstering the company’s reputation in the long run.
Powering SOP AI: Aetina’s AIE-KX13/23
The AIE-KX13/23 AI inference system, powered by the NVIDIA Jetson AGX Orin 32GB/64GB computing core, delivers up to 275 TOPS of computing power. This enables server-level, low-latency AI inference at the edge, allowing SOP AI to rapidly analyze and guide operators in real time.
Designed for versatility and durability, the AIE-KX13/23 supports a wide input voltage range (9-36VDC) and operates reliably in harsh environments, such as smart factories, within a temperature range of -25°C to +70°C."
The Benefits of SOP AI
Rapid Skill Acquisition and Diverse Task Mastery
Due to the labor shortage, existing employees must perform a variety of work projects while having to learn new skills to complete new tasks.
SOP AI can provide clear instructions and immediate response on site at any time, guiding employees to perform the assigned tasks step by step. With the assistance of SOP AI, new employees can soon be as skilled as old employees. Moreover, old employees can also quickly learn new skills, which drastically reduces the defective rate of production lines, improving production efficiency and product quality.
Minimize Training and Inspection Costs
Traditional training is often conducted by existing employees or instructors to guide new employees once or twice. In other words, new employees are expected to correctly perform the tasks assigned to them after a very short time of learning. This is obviously not a realistic expectation, which, in turn, could increase the stress and turnover of new employees.
Additionally, during the learning process of new employees, existing employees are expected to inspect the quality of their work and solve the problems arose in the process. This is likely to reduce work efficiency and increase the stress of existing employees. Should this supposedly temporary situation turn into a new norm, the job satisfaction and loyalty of existing employees will be impacted negatively.
SOP AI can make up for the scarcity of training resources in most companies. New employees can get sufficient training to be able to correctly and confidently perform at their new job. This will generate a sense of accomplishment, improve job satisfaction and loyalty, and reduce the turnover rate of new employees.
The adoption of SOP AI can also provide comprehensive on-the-job training without affecting the work efficiency of existing employees. Therefore, the quality standard of products or services can be maintained, customer satisfaction provided. As a result, the competitiveness of enterprises could be further improved.
Adapting to High-Mix, Low-Volume Production Mode
High-Mix, Low-Volume Production Mode demands frequent skill acquisition and rapid task switching from employees. This can lead to increased stress, fatigue, and human error—a common challenge faced by modern enterprises.
SOP AI offers a solution by providing clear, on-site instructions. This reduces employee anxiety and fatigue associated with frequent task switching, boosting morale and significantly lowering defect rates. As a result, production efficiency and product quality improve.
Moreover, SOP AI contributes to higher job satisfaction by alleviating employee stress and fatigue. This reduces turnover rates among experienced workers, saving the company significant recruitment and training costs.
Conclusion
The SOP AI system have provided intelligent solutions for the manufacturing industry. The solution effectively tackled the challenges brought by labor shortage, insufficient training resources, and high-mix, low-volume production mode. Moreover, this latest innovation also provided employees with instant guidance, helping them quickly master new skills and reduce human errors, thereby improving production efficiency and product quality.
Aetina empowers businesses to stay competitive in the era of smart manufacturing. We are dedicated to bringing more innovation opportunities to the industry, helping businesses to discover new frontiers of intelligence at every edge.