The study of decision making tools for equipment selection in mining engineering operations
Gospodarka Surowcami Mineralnymi – Mineral Resources Management 2009;25(3):37-56
KEYWORDS
ABSTRACT
Equipment selection decisions which are the most important stage of short and long term surface mine planning have radically influenced the economic life of any mining scenario. Furthermore, equipment selection is also an complex multi-person, multi-criteria decision problem. This study has been directed to the research of an optimal loading-hauling system to a power station to be established in an open pit coal mine located Orhaneli, west of Turkey. Within this paper, the Analytical Hierarchy Process (AHP, non-fuzzy method) and different fuzzy methods are presented as an innovative tool for criteria aggregation in mining decision problems. The paper is divided into four main sections. The first section provides an overview of the underlying concepts and theories of AHP and multiple attribute decision making in a fuzzy environment and the scope of this type of search. The second section introduces few applications of fuzzy set theory and AHP to mining industry problems reported in the literature. Some of these applications are briefly reviewed in the paper. The third section presents a case study which illustrate the application of the system for equipment selection in surface mining. Details of alternative systems and their criterion of each operation are also given. Finally, the fourth section presents the concluding remarks.
METADATA IN OTHER LANGUAGES:
Polish
Analiza narzędzi podejmowania decyzji do wyboru wyposażenia w zakładach górniczych
górnictwo odkrywkowe, wybór wyposażenia, teoria zbiorów rozmytych, metoda AHP
Decyzje dotyczące wyboru wyposażenia, które są najistotniejszym elementem zarówno krótkoterminowego jak i długoterminowego planowania w kopalni odkrywkowej, mają wpływ na ekonomikę kopalni. Co więcej, wybór wyposażenia jest trudnym problemem decyzyjnym, zależnym od wielu kryteriów i wielu osób. Ten artykuł opisuje badania dotyczące optymalnego systemu załadowczo-transportowego do elektrowni, jaki ma być wybudowany w kopalni odkrywkowej w Orhaneli w zachodniej części Turcji. Przedstawiono metodę AHP oraz różne metody wykorzystujące teorię zbiorów rozmytych jako innowacyjne narzędzie do agregacji kryteriów wyboru w problemach podejmowania decyzji w górnictwie. Artykuł jest podzielony na cztery części. Część pierwsza to przegląd koncepcji i teorii AHP oraz metod wielokryterialnych podejmowania decyzji w warunkach rozmytych oraz zakres tego typu badań. Druga część przytacza pokrótce znalezione w literaturze zastosowania teorii zbiorów rozmytych i AHP do rozwiązywania problemów górnictwa . W trzeciej części przedstawiono przykład, który ilustruje zastosowanie tych narzędzi do wyboru wyposażenia w górnictwie odkrywkowym. Przedstawiono szczegóły alternatywnych rozwiązań i kryteria dla każdej z operacji. W końcu, czwarta część zawiera uwagi podsumowujące.
REFERENCES (29)
1.
Riberio R.A., 1993 - Application of Support Logic Theory to Fuzzy Multiple Attribute Decision Problems. PhD Thesis, University of Bristol, Faculty of Engineering, Department of Engineering Mathematics.
2.
Saaty T.L., 1978a - Exploring The Interface Between Hierarchies, Multiple Objectives and Fuzzy Sets. Fuzzy Sets and Systems, 57-68.
3.
Saaty T.L., 1978b - Modelling Unstructured Decision Problems - The Theory of Analytical Hierarchies. Math. Comput. Simu. 20, 147-158.
4.
Yager R.R., 1978 - Fuzzy Decision Making Including Unequal Objectives. Fuzzy Sets and Systems, 187-95.
5.
Baas M.S., Kwakernaak H., 1977 - Rating and Ranking of Multiple Aspect Alternatives Using Fuzzy Sets. Automatica 13, 47-58.
6.
Baldwin J.F., Guilg N.C.F., 1979 - Comparison Of Fuzzy Sets On The Same Decision space. Fuzzy sets and Systems 2, 213-232.
8.
Munda G., 1995 - MultiCriterion Evaluation in a Fuzzy Environment-Theory and Applications in Ecological Economics.3.X, 7908-0892, Physica-Verlag Heidelberg.
9.
Albayrak C., Toraman A., Albayrak E., 1997 - A Decision Support System in Selection of a Establishment, An Application For Concrete Plant Establisment Site. [In:] First Nal Produc Search Symp., Istanbul, Technical University, Turkey.
10.
Zadeh L.A., 1975 - The Concept of a Linquistic Variable and its Application to Approximate Reasoning. Information Science Part 1, 813, 199-249.
11.
Li H.X., Yen V.C., 1995 - Fuzzy Sets and Fuzzy Decision-Making. CRC Press, Boca Raton, FL, Ch. 4.
12.
Klir G.J.,Yuan B., 1995 - Fuzy Sets and Fuzzy Logic: Theory and Applications. Prentice-Hall,New York, 268.
13.
Yager R.R., 1981 - A New Methodology for Ordinal Multi objective Decisions Based on Fuzzy Sets. Decision Sciences 12, 4, 589-600.
14.
Bandopadhyay S., Chattopadhyay A., 1986 - Selection of Post-Mining Uses of Land Via Fuzzy Algorithm. [In:] Proc. 19th Int Symposium Appl. Comp. in Mine Plan (APCOM), R.V. Ramani (ed.), SME/AIME, 321-332.
15.
Bandopadhyay S., 1987a - Fuzzy Algorithm for Decision Making in Mining Engineering. Int. J.Min. & Geo. Eng. 5, 149-154.
16.
Bandopadhyay S., 1987b - Partial Ranking of Primary Stripping Equipment in SurfaceMine Planning. Int. J. Surface Min. 1, 55-59.
17.
Gershon M.A., Bandopadhyay S., Panchanadam V., 1993 - Mining Method Selection: A Decision Support System Integrating Multi-attribute Utility Theory and Expert Systems. [In:] Proc. 24th Inter Symp. On the Appl. Comp. in Mine Plan (APCOM), J. Elbrond (ed.), Canadian Institute of Mining & Metallurgy 3, 11-18.
18.
Herzog D., Bandopadhyay S., 1996 - Ranking of Optimum Benefication Methods via the Analytical Hierarcy Process. [In:] Proc. 26th Inter. Symp. on the Appl. of Comp. in Mine Plan (APCOM), R.V. Ramani (ed.), SME/AIME, 323-329.
19.
Bascetin A., Kesimal A., 1999a - The Study of a Fuzzy Set Theory for the Selection of an Optimum Coal Transportation System from Pit to the Power Plant. Inter. J. Surface Min. Recla and Envir. 13, 97-101.
20.
Kesimal A., Bascetin A., 2002 - Application of Fuzzy Multiple Attribute Decision Making in Mining Operations. Mineral Resources Engineering 11, No. 1, 59-72.
21.
Bascetin A., Kesimal A., 1999b - Application of Fuzzy Logic in Mining. J. Geoscience 12, Istanbul, University Engineering Faculty No. 1.
22.
Karadogan A., Bascetin A., Kahriman A., Gorgun S., 2001 - A New Approach in Selection of Underground Mining Method. [In:] Int. Conf - Modern Manage of Mine Produc. Geo and Environ Protec, Varna, Bulgaria, 3-9 June, 171-183.
23.
Bascetin A., 1999 - Optimal Equipment Selection in Open Pit Mines. PhD Thesis, University of Istanbul, Faculty of Eng. Mining Eng. Dept, Istanbul, Turkey.
24.
Bascetin A., 2007 - A decision support system using analytical hierarchy process (ahp) for the optimal environmental reclamation of an open pit mine. Environmental Geology 52(4), 663-672.
25.
Bascetin A., Öztaş A., Kanlı A., 2006 - EQS: A Computer Software Using Fuzzy Logic for Equipment Selection in Mining Engineering. The South African Institute of Mining and Metallurgy (SAIMM), 106(1).
26.
Bascetin A., 2004 - An Application of the Analytic Hierarchy Process in Equipment Selection at Orhaneli Open Pit Coal Mine. Transactions of the Institutions of Mining and Metallurgy-(AusIMM), Section A-Mining Technology, 113(3), 192-199(8).
28.
Bellman R.E., Zadeh L.A., 1970 - Decision Making In a Fuzzy Environment. Manage Sci. 17, 141-164.
29.
Zadeh L.A., 1973 - Outline Of a New Approach to The Analysis of Complex Systems and Decision Process. IEEE Trans, Vol. SMC III, 28-44.
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| eISSN: | 2299-2324 |
| ISSN: | 0860-0953 |
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