The digital twin technology is an amalgamation of AI and machine learning designed to benefit its users with solutions based on real-time data. The shipping industry is responsible for efficiently carrying out the supply chain’s tasks, for which it utilises technology. To provide efficient and enhanced results, the logistics industry has set out to target and improve its inefficiencies. Newer innovations and strategies are proving out to be advantageous in increasing profitability and productivity and are therefore, being integrated in many industries at a fast pace. Here, the various features of twin technology are utilised to give better inputs.
Role of digitization in the shipping industry
Digitalization is paving a path of newer opportunities for businesses and industries using digital technologies. It helps in utilizing data to build new business models to revolutionize the existing way of operating. Digitization in the shipping industry uses technologies such as AI, IoT, blockchain and automation to assist the various sectors involved in the industry and transform the supply chain. Traditional industrial operations have relied on manual processes for many years. However, in recent times, there has been a significant shift towards digitalization due to remarkable technological advancements. Digitalisation aids the shipping industry by offering real-time data, data analysis, data-driven decisions, and helps in introducing automation in the shipping industry.
What are digital twins?
Digital twins are virtual replicas of physical objects, systems, or processes that enable real-time monitoring, analysis, and optimization of their performance. By fusing two separate technologies, AI and machine learning, the digital twins are formed. A digital twin is an accurate virtual or digital representation of a physical and real-world entity. It forms an identical replica of the physical asset, environment, or process. It gets updated from time to time based on the data given. It helps in decision-making by using simulation and machine learning to facilitate decision-making and perform functions. To accomplish the task of digital twins, the physical, real-world entity to be replicated is fitted with sensors to collect required data which is then forwarded to a processing system and utilized in the digital copy.
Importance of digital twins
Digital twins receive data from the IoT sensors that help to interact and communicate with physical objects to form their identical.
- By better understanding consumer needs, modern requirements and newer possibilities, the twin technology develops and enhances existing products and optimises them to improve their performance.
- These days, when industries are continuously advancing themselves, digital twins aids manufacturing companies to predict the quality and functioning of newly manufactured end products and suggests material upgrades or changes in operating process.
- Twin technology’s crucial role is that its 3-D printing feature allows companies to experiment, test and validate certain products even before manufacturing them in the real world. It helps in saving time and money.
Use of digital twins in the maritime industry
The digitalisation in the maritime industry has led to integration of AI and machine learning in performing various tasks. Let us see how digitalisation has benefited the maritime sector.
- AI in the maritime industry- Artificial Intelligence helps in predictive maintenance by tracking data and predicting the inefficiencies in the equipment to avoid uncertain breakdowns during heavy hours. It helps in process
- Machine learning in the maritime industry- The collected data through AI is utilized by machine learning for various processes including optimizing shipping routes, giving recommendations for speed and new courses during voyage, reducing crew performance as most of the work is done using technology and increasing fuel efficiency.
Advantages of Digital Twins
The logistics industry invests heavily in the twin technology to reap maximum benefits.
- The manufactured goods are packed to be shipped into cargo containers. A digital twin helps in analyzing the material of packaging and if it is suitable and durable for usage or has some faults.
- It helps analyze the ideal conditions for packaging to retain the shelf life of products.
- It helps in predicting problems beforehand and providing solutions for them. This makes it easier to eliminate potential errors and increase efficiency.
- The transportation sector is favored by analyzing the working efficiency of vehicles, optimizing navigable routes, and providing solutions to potential issues.
- It helps analyze loopholes in the cyber security systems used in the logistic process and helps provide effective solutions.
- Digital twin technology helps in providing valuable insights and input in vessel designing, software operating it and machinery systems. This helps cut unnecessary costs, enhance vessel performance and prevent damages and risks.
- By running simulations, one can identify the loopholes and weaknesses in every new strategy or innovation and how specific changes would affect the supply chain. Digital twins help increase container fleet management efficiency by placing and analyzing the health of containers in multiple real-life situations. This helps in cutting down on inefficient containers.
- Digital twins help test warehouse layouts to develop or install more features or facilities in the infrastructure to maximize operational productivity. It is used at ports and container terminals to enhance automation efficiency by analyzing the historical database to suggest newer infrastructure and management system changes.
- By testing out various emergency scenarios, such as natural disasters, and pandemics, companies can create contingency plans to avoid bottlenecks.
Digital twins are a technological twin immensely benefitting the logistics industry in monitoring, diagnosing and optimizing the products. It helps save time, reduce capital investment and earn more significant profits.