Evaluation and Forecasting Model for Metal-Nonmetal Mining Research Needs: Model Development for Computer-Assisted Technology

Details

• Personal Author:
  McClelland, John J. ; Mitchell-Dubaniewicz J ; Rider, James P. ; Schnakenberg, George H. Jr.
• Description:
  The U.S. Bureau of Mines formed a team in 1991 to begin developing a long-range research plan for computer-assisted mining that would benefit the metal-nonmetal mining industry. This report details the team's accomplishments, specifically, development of a model that identifies metal-nonmetal mining research needs that could be addressed by the application of automation technology. The report also provides a summary of automation needs and applications based on visits with mining company representatives. The status and future direction of this work is also presented. [Description provided by NIOSH]
• Subjects:
  Database Decision Making Occupational Health Safety
• Keywords:
  Forecasting; Mineral-industry; Mathematical-models; Decision-making; Databases; Industrial-engineering; Network-analysis-management; Mining-research; Computer-applications
• Series:
  Mining Publications
• Subseries:
  Information Circular
• Document Type:
  Text
• Genre:
  Pamphlet or Booklet
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PRC - Pittsburgh Research Center
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-14
• NIOSHTIC Number:
  nn:10012348
• NTIS Accession Number:
  PB94186137
• Citation:
  Pittsburgh, PA: U.S. Department of the Interior, Bureau of Mines, IC 9390, 1994 Jan; :1-14
• Federal Fiscal Year:
  1994
• Peer Reviewed:
  False
• Source Full Name:
  Pittsburgh, PA: U.S. Department of the Interior, Bureau of Mines, IC 9390
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:e0ad4d045d576e23f75fdd04b5115faf6bf5d89edf2a9897b8ca77dceaa2bb7af0a3c10cae29bf3f8afa4eceda9425c423a5ad739cc08494d4686dae13934509
• Download URL:
  https://stacks.cdc.gov/view/cdc/235800/cdc_235800_DS1.pdf
• File Type:
  [PDF - 4.75 MB ]