Ersila Maharani, Adree Octova, Yoszi Mingsi Anaperta, Mohd Hazizan Mohd Hashim, Pakhrur Razi
One of the reasons for the failure to accomplish the production target in granite mining is the presence of several impediments in the loading, hauling, and primary crusher units. Hence, the Overall Equipment Effectiveness (OEE) methodology is employed to enhance the efficiency of the crusher feed, while the Multivariate Analysis technique is utilized to determine the optimal duration of losstime. The distribution of work time in the Jaques Primary Crusher unit shows that delay time (64.56%) is a major factor, suggesting ways to reduce delays and optimize production. In contrast, the Nordberg unit had a more balanced distribution, with work time accounting for 31.62%, indicating better operational time management. The mathematical equation models for each crusher unit quantify essential variable relationships. These models, Y = 7912.31 – 98.869X1 – 290.621X2 for Jaques and Y = 7103.562 – 249.633X1 – 299.012X2 for Nordberg, can forecast work time and efficiency factors. The loss time simulation equations for both units (X2 = –0.3399X1 + 6.85 for Jaques and X2 = –0.8349X1 + 10.379 for Nordberg) estimate and minimize delays. Granite mining enterprises can optimize work processes and reduce loss time with these equations, enhancing productivity and profitability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PT Bukit Asam (Persero) Tbk, Muara Enim, Sumatera Selatan, 31716, Indonesia; Department of Mining Engineering, Universitas Negeri Padang, Padang, 25131, Indonesia; School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Center of Disaster Monitoring and Earth Observation, Universitas Negeri Padang, Padang, 25131, Indonesia
