With the rapid development of intelligent manufacturing in various countries around the world, Lithuanian forging enterprises are also actively deploying and considering how to achieve intelligent manufacturing. This article will explore how Lithuanian forging enterprises can achieve intelligent manufacturing and provide practical examples.
- Promoting Digital Factory Transformation
The digital factory is an important means to achieve intelligent manufacturing. Lithuanian forging enterprises can digitize their factories to optimize the production process and upgrade customer service. The digital factory has many characteristics such as automation, customization, and flexibility, which can help improve production efficiency and quality. For example, Tesla Mechani ka AB is a Lithuanian forging enterprise engaged in metal processing and production equipment. They have invested a lot of resources in digitalization and have smart production lines and robot manufacturing systems, which have greatly improved their production efficiency and speed.
- Internal Collaboration and Innovation
In the process of achieving intelligent manufacturing, collaborative cooperation between different departments within the enterprise is very important. This can be achieved by applying Internet of Things (IoT) technology and Artificial Intelligence (AI) algorithms for more refined management and control, in order to achieve the goal of optimizing operating costs, improving efficiency, and quality. In addition, the enterprise can also encourage employees to come up with innovative ideas to achieve optimization of the intelligent manufacturing process. For example, Lithuanian forging enterprise Rekvizitai AB continuously innovates in the field of digitalization. Through the implementation of intelligent manufacturing technology, their production efficiency has increased by more than 90%.
- External Cooperation and Open Innovation
On the journey to achieving intelligent manufacturing, Lithuanian forging enterprises can also cooperate with key participants, innovative companies, and emerging enterprises in the industry chain to obtain advanced technology, information, and solutions faster and promote industry progress and development. For example, Lithuanian forging enterprise Duplifacture AB collaborated with project management software company WerkEYE and applied complex computing technology and process automation programs to improve product quality and delivery speed.
In summary, Lithuanian forging enterprises face many challenges in achieving intelligent manufacturing, but there are also many opportunities. Digital factory transformation, internal collaboration and innovation, and external cooperation and open innovation are all key means to achieve intelligent manufacturing. In particular, Lithuanian forging enterprises such as Tesla Mechani ka AB, Rekvizitai AB, Duplifacture AB and other enterprises have made continuous progress in intelligent manufacturing and have gained a larger market share in the global market.
