In contemporary society, semiconductors have become an indispensable part of daily life. From traffic lights, electric vehicles, computers, and smartphones to aerospace and military applications, most instruments requiring precise control feature semiconductors. However, the semiconductor manufacturing process is extremely complex and challenging, leading to the development of various semiconductor-related management systems, such as automated transport systems and production scheduling systems. Among these, the recipe management system, which controls production parameters, is particularly important.Against this backdrop, the main objective of this thesis is to address the semiconductor production process by utilizing blockchain technology to design a secure and immutable recipe transmission process. This ensures that the recipe remains consistent with the experimental results after being verified and uploaded by process engineers, thereby reducing errors due to manual modifications that could lead to production mistakes. This thesis proposes integrating a secure hashing algorithm with blockchain into the recipe management system. When recipes are uploaded, the blockchain data is simultaneously updated, and computations are performed during the download process. By comparing the current recipe with the records in the blockchain using a binary tree algorithm, a list of differing files is obtained. This allows for differential downloads, thereby reducing file transmission time and accelerating the production process.