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Author Ogunmodede, O.; Lamas, P.; Brickey, A.; Bogin, G.; Newman, A. doi  openurl
  Title Underground production scheduling with ventilation and refrigeration considerations Type
  Year 2022 Publication Optimization And Engineering Abbreviated Journal Optim. Eng.  
  Volume 23 Issue 3 Pages (down) 1677-1705  
  Keywords Underground mine scheduling; Integer programming applications; Resource-constrained project scheduling; Ventilation; Diesel equipment; Refrigeration  
  Abstract Underground mine production scheduling determines when, if ever, activities associated with the extraction of ore should be executed. The accumulation of heat in the mine where operators are working is a major concern. At the time of this writing, production scheduling and ventilation decisions are not made in concert. Correspondingly, heat limitations are largely ignored. Our mixed-integer program maximizes net present value subject to constraints on precedence, and mill and extraction capacities with the consideration of heat using thermodynamic principles, while affording the option of activating refrigeration to mitigate heat accumulation. In seconds to hours, depending on the problem size (up to thousands of activities and 900 daily time periods), a corresponding methodology that exploits the mathematical problem structure provides schedules that maintain a safe working environment for mine operators; optimality gaps are no more than 15% and average less than half that for otherwise-intractable instances.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1389-4420 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000741919400001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1519  
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Author Espinoza, D.; Goycoolea, M.; Moreno, E.; Newman, A. pdf  doi
openurl 
  Title MineLib: a library of open pit mining problems Type
  Year 2013 Publication Annals Of Operations Research Abbreviated Journal Ann. Oper. Res.  
  Volume 206 Issue 1 Pages (down) 93-114  
  Keywords Mine scheduling; Mine planning; Open pit production scheduling; Surface mine production scheduling; Problem libraries; Open pit mining library  
  Abstract Similar to the mixed-integer programming library (MIPLIB), we present a library of publicly available test problem instances for three classical types of open pit mining problems: the ultimate pit limit problem and two variants of open pit production scheduling problems. The ultimate pit limit problem determines a set of notional three-dimensional blocks containing ore and/or waste material to extract to maximize value subject to geospatial precedence constraints. Open pit production scheduling problems seek to determine when, if ever, a block is extracted from an open pit mine. A typical objective is to maximize the net present value of the extracted ore; constraints include precedence and upper bounds on operational resource usage. Extensions of this problem can include (i) lower bounds on operational resource usage, (ii) the determination of whether a block is sent to a waste dump, i.e., discarded, or to a processing plant, i.e., to a facility that derives salable mineral from the block, (iii) average grade constraints at the processing plant, and (iv) inventories of extracted but unprocessed material. Although open pit mining problems have appeared in academic literature dating back to the 1960s, no standard representations exist, and there are no commonly available corresponding data sets. We describe some representative open pit mining problems, briefly mention related literature, and provide a library consisting of mathematical models and sets of instances, available on the Internet. We conclude with directions for use of this newly established mining library. The library serves not only as a suggestion of standard expressions of and available data for open pit mining problems, but also as encouragement for the development of increasingly sophisticated algorithms.  
  Address [Espinoza, Daniel] Univ Chile, Dept Ind Engn, Santiago Ctr, Santiago, Chile, Email: daespino@dii.uchile.cl;  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0254-5330 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000320694000006 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 290  
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