Application of Topsis Method to The Selection of a Production Drilling Rig
Keywords:
Multiple Criteria Decision Making, AHP, TOPSIS, Drill rig
Abstract
Drilling and blasting are considered to be the first unit of operations in mining. proper rock fragmentation is the key first element of the ore winning process, as it affects the economics of processing. To ensure a proper fragmentation is achieved, a lot of factors are considered, one of them being the accuracy and efficiency of drilling. This makes drilling an important part of the rock fragmentation process, and the selection of a drill rig that will result in achieving desired production rate is thus an important decision for mining engineers. In this paper, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was applied to the selection of a Production Drill Rig. The methodology involved the application of the Analytical Hierarchy Process (AHP) method in calculation of the weights of the criteria. Expert opinion was used in the formation of AHP pairwise matrices. TOPSIS method was then used to rank the alternatives and finally, the most appropriate drill rig was selected. It was shown that TOPSIS method can be applied in equipment selection as opposed to the traditional trial-and-error methods, which will result in speedy decision makingReferences
1. Aghajani, A. and Osanloo, M. (2007), Application of AHP-TOPSIS Method for Loading-Haulage Equipment Selection in Open pit Mines. XXVII International Mining Convention, Mexico.
2. Bascetin, A. (2004), An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine. Mining Technology (Transaction of the Institute of Mining and Metallurgy),Vol. 113, A192-A199.
3. Bascetin, A. Oztas, A. Kanli, A. (2006), EQS: computer software using fuzzy logic for equipment selection in mining engineering. The Journal of the South African Institute of Mining and Metallurgy Vol. 106, 63–70.
4. Bellman, R.E. and Zadeh, L.A. (1970). Decision making in a fuzzy environment.Management Science, vol.17, no. 4. pp. 141–164
5. Belton, V. and Stewart, T.J. (2002), Multiple criteria decision analysis, Kluwer Academic Publication, Boston.
6. Kazakidis, V.N., Mayer, Z., Scoble, M.J. (2004), Decision making using the analytic hierarchy process in mining engineering. Mining Technology (Transaction of the Institute of Mining and Metallurgy) Vol.113 (2004) A30-A42.
7. Naghadehi, M.Z., Mikaeil, R. and Ataei, M. (2009). The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications 36 (2009) 8218–822.
8. Saaty, T.L. (1980). The Analytic Hierarchy Process, McGrawHill, New York, 1980
9. Saaty, T.L. and Ozdemir, M.S. (2003), Why the magic number seven plus or minus two. Mathematical modelling, vol.38, no. 3-4. Pp 233-245
10. Stirn, L.Z. and Grošelj, P. (2010), Multiple Criteria Methods with Focus on Analytic Hierarchy Process and Group Decision Making, Croatian Operational Research Review (CRORR), Vol. 1.
11. Triantaphyllou, E. (2000), “Multi Criteria Decision Making Methods: A Comparative Study” Kluwer Academic Publishers, Dordrecht.
12. Yadav, A. and Jayswal S.C. (2012), Using Geometric Mean Method of Analytical Hierarchy Process for Decision Making in Functional Layout. International Journal of Engineering Research & Technology (IJERT), Vol. 2 Issue 10, October 2013.
13. Yavuz, M. (2007), An Equipment Selection Application Using The AHP Method. SME Annual Meeting Feb. 25-Feb. 28, 2007, Denver, CO
14. Yavuz, M. (2015), Equipment selection based on the AHP and Yager’s Method, Journal of the SouthernAfrican Institute of Mining and Metallurgy, vol. 115, pp. 425–433
15. .Hwang, C.L. and Yoon, K. (1981), Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer Berlin Heidelberg, 1981
2. Bascetin, A. (2004), An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine. Mining Technology (Transaction of the Institute of Mining and Metallurgy),Vol. 113, A192-A199.
3. Bascetin, A. Oztas, A. Kanli, A. (2006), EQS: computer software using fuzzy logic for equipment selection in mining engineering. The Journal of the South African Institute of Mining and Metallurgy Vol. 106, 63–70.
4. Bellman, R.E. and Zadeh, L.A. (1970). Decision making in a fuzzy environment.Management Science, vol.17, no. 4. pp. 141–164
5. Belton, V. and Stewart, T.J. (2002), Multiple criteria decision analysis, Kluwer Academic Publication, Boston.
6. Kazakidis, V.N., Mayer, Z., Scoble, M.J. (2004), Decision making using the analytic hierarchy process in mining engineering. Mining Technology (Transaction of the Institute of Mining and Metallurgy) Vol.113 (2004) A30-A42.
7. Naghadehi, M.Z., Mikaeil, R. and Ataei, M. (2009). The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications 36 (2009) 8218–822.
8. Saaty, T.L. (1980). The Analytic Hierarchy Process, McGrawHill, New York, 1980
9. Saaty, T.L. and Ozdemir, M.S. (2003), Why the magic number seven plus or minus two. Mathematical modelling, vol.38, no. 3-4. Pp 233-245
10. Stirn, L.Z. and Grošelj, P. (2010), Multiple Criteria Methods with Focus on Analytic Hierarchy Process and Group Decision Making, Croatian Operational Research Review (CRORR), Vol. 1.
11. Triantaphyllou, E. (2000), “Multi Criteria Decision Making Methods: A Comparative Study” Kluwer Academic Publishers, Dordrecht.
12. Yadav, A. and Jayswal S.C. (2012), Using Geometric Mean Method of Analytical Hierarchy Process for Decision Making in Functional Layout. International Journal of Engineering Research & Technology (IJERT), Vol. 2 Issue 10, October 2013.
13. Yavuz, M. (2007), An Equipment Selection Application Using The AHP Method. SME Annual Meeting Feb. 25-Feb. 28, 2007, Denver, CO
14. Yavuz, M. (2015), Equipment selection based on the AHP and Yager’s Method, Journal of the SouthernAfrican Institute of Mining and Metallurgy, vol. 115, pp. 425–433
15. .Hwang, C.L. and Yoon, K. (1981), Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer Berlin Heidelberg, 1981
Published
2021-01-28
How to Cite
[1]
S. Chanda, “Application of Topsis Method to The Selection of a Production Drilling Rig”, Journal of Natural and Applied Sciences, vol. 3, no. 1, pp. 1-17, Jan. 2021.
Section
Original Research Articles
Submission of a manuscript implies: that the work described has not been
published before (except in the form of an abstract or as part of a published
lecture, or thesis); that it is not under consideration for publication
elsewhere; that if and when the manuscript is accepted for publication, the
authors agree to automatic transfer of the copyright to the publisher in this
case to UNZA-JONAS.