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Development of an evaluation system for blasting patterns to provide efficient production

Author

Listed:
  • Mojtaba Yari

    (Isfahan University of Technology)

  • Raheb Bagherpour

    (Isfahan University of Technology)

  • Saeed Jamali

    (Isfahan University of Technology)

Abstract

Blasting is one of the most important operations in mining projects involving production. Inappropriate blasting pattern may lead to unwanted events such as poor fragmentation, back break, fly rock, etc., as well as strong effects on the production rate. In fact, the selection of the most suitable pattern among the previously performed patterns can be considered as a Multi Attribute Decision Making problem. In this paper, first, from various performed patterns, the efficient and inefficient ones were determined using Data Envelopment Analysis. In the second step, linear assignment was used to evaluate the efficient patterns and recognize the most suitable pattern for providing high production rate. According to the obtained results, blasting pattern with the burden of 3.5 m, the spacing of 4.5 m, the stemming of 3.8 m and the hole length of 12.1 m was selected as the most appropriate blasting pattern and suggested for the future blasting operations.

Suggested Citation

  • Mojtaba Yari & Raheb Bagherpour & Saeed Jamali, 2017. "Development of an evaluation system for blasting patterns to provide efficient production," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 975-984, April.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:4:d:10.1007_s10845-015-1036-6
    DOI: 10.1007/s10845-015-1036-6
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    References listed on IDEAS

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    1. Abbas Aghajani Bazzazi & Morteza Osanloo & Behrooz Karimi, 2011. "A New Fuzzy Multi Criteria Decision Making Model For Open Pit Mines Equipment Selection," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 279-300.
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    3. Athanassopoulos, Antreas D. & Lambroukos, Nikos & Seiford, Lawrence, 1999. "Data envelopment scenario analysis for setting targets to electricity generating plants," European Journal of Operational Research, Elsevier, vol. 115(3), pages 413-428, June.
    4. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    5. Allen, R. & Thanassoulis, E., 2004. "Improving envelopment in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 363-379, April.
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    Cited by:

    1. Tim Lu, 2021. "A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology," Sustainability, MDPI, vol. 13(8), pages 1-16, April.

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