A Lean Scheduling Framework for Underground Mines Based on Short Interval Control

Hao Wang, Xiaoxia Zhang, Hui Yuan, Zhiguang Wu () and Ming Zhou
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Hao Wang: Mine Big Data Research Institute, China Coal Research Institute, Beijing 100013, China
Xiaoxia Zhang: Mine Big Data Research Institute, China Coal Research Institute, Beijing 100013, China
Hui Yuan: Mine Big Data Research Institute, China Coal Research Institute, Beijing 100013, China
Zhiguang Wu: Mine Big Data Research Institute, China Coal Research Institute, Beijing 100013, China
Ming Zhou: Mine Big Data Research Institute, China Coal Research Institute, Beijing 100013, China

Sustainability, 2023, vol. 15, issue 12, 1-17

Abstract: Production scheduling management is crucial for optimizing mine productivity. With the trend towards intelligent mines, a lean scheduling management mode is required to align with intelligent conditions. This paper proposes a lean scheduling framework, based on short interval control as an effective tool to adapt intelligent scheduling in underground mines. The framework shortens the production monitoring and adjustment cycle to near-real-time, enabling timely corrective measures to minimize schedule deviations and improve overall production efficiency. An intelligent scheduling platform is implemented by adopting the digital twin platform framework, the intelligent scheduling mobile terminal module, and the integrated scheduling control cockpit module. The results indicate that the platform is effective in promoting mine intelligence by providing benefits in information transparency, flexible scheduling, lean production, and scientific decision-making. The proposed framework provides a practical solution for implementing intelligent scheduling in underground mines, contributing to the overall improvement of mine productivity. Overall, this paper provides insights for implementing intelligent scheduling in underground mines.

Keywords: short interval control; lean production; intelligent scheduling; underground mine; digital twin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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