Long-term maintenance optimization for integrated mining operations

被引:1
作者
Yang, Yingying [1 ]
Loxton, Ryan [1 ]
Rohl, Andrew L. [1 ]
Bui, Hoa T. [1 ]
机构
[1] Curtin Univ, ARC Training Ctr Transforming Maintenance Data Sc, Perth, WA, Australia
关键词
Long-term maintenance planning; Optimization; Mixed integer linear programming; Integrated network; Mining industry; NETWORK; FLOW;
D O I
10.1007/s11081-023-09863-3
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Maintenance activities are inevitable and costly in integrated mining operations. Conducting maintenance may require the whole system, or sub-units of the system, to be shut down temporarily. These maintenance activities not only disrupt the unit being shut down, but they also have consequences for inventory levels and product flow downstream. In this paper, we consider an interconnected mining system in which there are complicated maintenance relationships and stock accumulation at intermediate nodes. We propose a time-indexed mixed-integer linear programming formulation to optimize the long-term integrated maintenance plan and maximize the total throughput. We also devise an algorithm, which combines Benders decomposition and Lagrangian relaxation, to accelerate the computational speed. To validate our mathematical model, we perform simulations for a real-world case study in the iron ore industry. The results show that our method can yield better solutions than CPLEX optimization solver alone in faster time.
引用
收藏
页码:1817 / 1848
页数:32
相关论文
共 22 条
[1]  
Al-Turki U.M., 2013, Maintenance Performance Measurement and Management
[2]   Trends in turnaround maintenance planning: literature review [J].
Al-Turki, Umar ;
Duffuaa, Salih ;
Bendaya, M. .
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING, 2019, 25 (02) :253-271
[3]   Medium-term maintenance turnaround planning under uncertainty for integrated chemical sites [J].
Amaran, Satyajith ;
Zhang, Tong ;
Sahinidis, Nikolaos V. ;
Sharda, Bikram ;
Bury, Scott J. .
COMPUTERS & CHEMICAL ENGINEERING, 2016, 84 :422-433
[4]   Long-term turnaround planning for integrated chemical sites [J].
Amaran, Satyajith ;
Sahinidis, Nikolaos V. ;
Sharda, Bikram ;
Morrison, Matt ;
Bury, Scott J. ;
Miller, Scott ;
Wassick, John M. .
COMPUTERS & CHEMICAL ENGINEERING, 2015, 72 :145-158
[5]  
[Anonymous], 1971, Mathematical programming, DOI [10.1007/BF01584070, DOI 10.1007/BF01584070]
[6]   Partitioning procedures for solving mixed-variables programming problems [J].
Benders, J. F. .
COMPUTATIONAL MANAGEMENT SCIENCE, 2005, 2 (01) :3-19
[7]   Scheduling Unit Time Arc Shutdowns to Maximize Network Flow Over Time: Complexity Results [J].
Boland, Natashia ;
Kapoor, Reena ;
Kaur, Simranjit ;
Kalinowski, Thomas .
NETWORKS, 2014, 63 (02) :196-202
[8]   Scheduling arc maintenance jobs in a network to maximize total flow over time [J].
Boland, Natashia ;
Kalinowski, Thomas ;
Waterer, Hamish ;
Zheng, Lanbo .
DISCRETE APPLIED MATHEMATICS, 2014, 163 :34-52
[9]   Mixed integer programming based maintenance scheduling for the Hunter Valley coal chain [J].
Boland, Natashia ;
Kalinowski, Thomas ;
Waterer, Hamish ;
Zheng, Lanbo .
JOURNAL OF SCHEDULING, 2013, 16 (06) :649-659
[10]  
Budai G, 2008, SPRINGER SER RELIAB, P321, DOI 10.1007/978-1-84800-011-7_13