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2013-7-19 Draft paper July 19, 2013 Equipment Selection for Surface Mining: A Review Christina Burt Department of Mathematics and Statistics, University of Melbourne, Melbourne, Australia [email protected]
2015-4-22 system for surface mining equipment selection by means of the Level 5 expert system shell. The expert system consists of four steps, which specify the purpose of the equipment selection and data entry, and assign relative importance (weight) to the factors and list of results. In the first step, the system selects the equipment by
2015-8-28 Surface mining-specific needs and working face attributes are primary selection considerations . The overall goal is to maximize profit with a loading system that meets targeted hourly production at the lowest cost-per-unit of material moved .
2018-6-27 The expert system is used primarily for surface mining method selection and excavation and haulage equipment selection. Methods of storing knowledge, interrogating and controlling external programs, and reaching conclusions using multiple knowledgebases have been discussed in previous papers by the authors, and will be
to select the most productive combination of equipment for a given surface mining operation. Burt et al. (2005) indicated the classification of equipment selection techniques into three categories: classical methods, operations research techniques and artificial intelligence techniques. Some of the classical methods utilized for equipment selec-tion
The Gulin product line, consisting of more than 30 machines, sets the standard for our industry. We plan to help you meet your needs with our equipment, with our distribution and product support system, and the continual introduction and updating of products.
Some concerning shovel-truck productivity for research has modeled the equipment replacement construction equipment selection and shovel-truck problem but focuses on replacement time rather equipment selection for surface mines. Although a than optimising the type and number of variety of modelling methods have been applied,
Recommendations for evaluating and implementing proximity warning systems on surface mining equipment. Spokane, WA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication No. 2007-146, RI 9672.