Underground Mine Scheduling Under Uncertainty

Details

• Personal Author:
  Blake LR ; Brickey A ; Goycoolea M ; Lamas P ; Nesbitt P ; Newman AM ; Pagnoncelli BK
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Author Keywords: Optimization-based Heuristics Mine Workers Mining Industry OR In Natural Resources Project Scheduling Stochastic Integer Programming Underground Mines Underground Mining Work Operations Work Schedules
• ISSN:
  0377-2217
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  California ; Colorado ; OSHA Region 8 ; OSHA Region 9 ; South Dakota
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  340-352
• Volume:
  294
• Issue:
  1
• NIOSHTIC Number:
  nn:20068152
• Citation:
  Eur J Oper Res 2021 Oct; 294(1):340-352
• Contact Point Address:
  Alexandra Newman, Department of Mechanical Engineering, Colorado School of Mines, Golden, CO 80401, United States
• Email:
  anewman@mines.edu
• Federal Fiscal Year:
  2022
• Peer Reviewed:
  True
• Source Full Name:
  European Journal of Operational Research
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:ef8b651f6316e3f02bfb2361a33d33fc59941d73139ca9c0eb55599086afcc02c3971e79475a1f272831e8891059cf6c2516bb8d73092b1ffbaaaf97a536b2e2
• Download URL:
  https://stacks.cdc.gov/view/cdc/230366/cdc_230366_DS1.pdf
• File Type:
  [PDF - 1.23 MB ]