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Author ORCID Identifier

Phi Hung Nguyen: 0000-0003-1575-7957

Thi Kim Thanh Nguyen: 0000-0003-3945-6198

Duc Hung Pham: 0000-0003-4871-4929

Quang Phuc Le: 0000-0002-5570-8706

Thai Tien Dung Vu: 0000-0002-8478-4345

Abstract

Mong Duong mine’s output objective is 1.5 million tons, which requires approximately 10,000 m of tunnel excavation each year. Because of the complicated geological features, the actual work is vastly different, necessitating regular changes in design and technical approaches, as well as plans for material supply, money, and staff. On the other hand, office personnel visit the construction site to update the work status after each report, and the department head and board of directors make choices on development and execution. This process takes time because it is carried out manually. As a result, a solution to support the optimization processes must be identified and implemented.

The article gathers data on how each specialized department in the mine develops, classifies information, and builds algorithms to extract outcomes based on the department's responsibilities and functions. The study focuses on the Mong Duong mine. As a result, the director has more information to make timely judgments. The language installer is written in C++ and is free source. This improves job performance, assists employees in retrieving data for work, and reduces manual labor

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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