SciELO - Scientific Electronic Library Online

 
vol.108 issue10 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    Journal of the Southern African Institute of Mining and Metallurgy

    On-line version ISSN 2411-9717Print version ISSN 2225-6253

    J. S. Afr. Inst. Min. Metall. vol.108 n.10 Johannesburg Oct. 2008

     

    TRANSACTION PAPER

     

    Selection of plant location in the natural stone industry using the fuzzy multiple attribute decision making method

     

     

    M. Yavuz

    Eskisehir Osmangazi University, Mining Engineering Department, Turkey

     

     


    SYNOPSIS

    Determining the most convenient plant location is one of the most commonly encountered problems in engineering applications. This paper presents a fuzzy multiple attribute decision making (FMADM) model which is developed for the selection of the optimum plant location for natural stone factories in the mining industry. The criteria affecting the decision making process in natural stone industry were determined to solve the plant location problem in the FMADM model. To determine the optimum plant location for a new natural stone factory, which is planned to be established by a mining firm located in the Eskisehir region of Turkey, an analysis was carried out by incorporating the method and the analytic hierarchy process (AHP) method. The analysis shows that the Yager's method can easily be applied to the selection of plant location in the natural stone and mining industry when the difficulties encountered in the application process of the AHP method is taken into account.

    Keywords: Natural stone, plant location, decision making, Yager's method, analytic hierarchy process (AHP)


     

     

    “Full text available only in PDF format”

     

     

    References

    1. AYHAN, M. Cost model and sensitivity analysis of cutting and processing stage at a marble plant, Industrial Diamond Review, vol. 3, 2005. pp. 49-54.         [ Links ]

    2. www.die.gov.tr (in Turkish).         [ Links ]

    3. ACAROGLU, O., FERIDUNOGLU, C., and TUMAC, D. Selection of roadheaders by fuzzy multiple attribute decision making method, Mining Technology (Trans. Inst. Min. Metall. A), vol. 115, no. 3, 2006. pp. A91-A98.         [ Links ]

    4. BANDOPADHYAY, S. and CHATTOPADHYAY, A. Selection of post-mining uses of land via fuzzy algorithm, Proc. 19th Int. Symp. Appl. Comput. Mine Planning (APCOM), (ed.) R. V. Ramani, SME/AIME, 1986, pp. 321-332.         [ Links ]

    5. BASCETIN, A., OZTAS, O., and KANLI, A.I., EQS: a computer software using fuzzy logic for equipment selection in mining engineering. The Journal of the South African Institute of Mining and Metallurgy, vol. 106, no. 1, 2006. pp. 63-70.         [ Links ]

    6. BITARAFAN, M.R. and ATAEI, M. Mining method selection by multiple criteria decision making tools. The Journal of the South African Institute of Mining and Metallurgy, vol. 104, no. 9, 2004. pp. 493-498.         [ Links ]

    7. KARADOGAN, A., BASCETIN, A., KAHRIMAN, A., and GORGUN, S. A New Approach in Selection of Underground Mining Method, International Conference-Modern Management of Mine Producing, Geology and Environment Protection, Varna, 2001, pp. 171-183.         [ Links ]

    8. KESIMAL, A. and BASCETIN, A. Application of Fuzzy Multiple Attribute Decision Making In Mining Operations, Mineral Resources Engineering, vol. 11, 2002. pp. 59-72.         [ Links ]

    9. CHEN, C. and KLEIN, C.M. An efficient approach to solving fuzzy MADM problems, Fuzzy Sets and Systems, vol. 88, 1996. pp. 51-67.         [ Links ]

    10. YAGER, R.R. Fuzzy Decision Making Including Unequal Objectives, Fuzzy Sets and Systems, vol. 1, 1978. pp. 87-95.         [ Links ]

    11. BELLMAN, R.E. and ZADEH, L.A. Decision Making in a Fuzzy Environment, Management Science, vol. 17, 1970. pp. 141-164.         [ Links ]

    12. SAATY, T.L. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, RWS Publications, Pittsburgh, USA, 2000.         [ Links ]

    13. ZADEH, L.A. Outline of a New Approach to the Analysis of Complex Systems and Decision Process, IEEE Transactions, vol. 3, 1973. pp. 28-44.         [ Links ]

    14. RIBERIO, R.A. Fuzzy multiple attribute decision making: A review and new preference elicitation techniques, Fuzzy Sets and Systems, vol. 78, 1996. pp. 155-181.         [ Links ]

    15. OZER, S. Determination of optimum plant location for marble factories, Master of Science thesis, Eskisehir Osmangazi University, Graduate School, Turkey, 2005.         [ Links ]

    16. SAATY, T.L. and OZDEMIR, M.S. Why the Magic Number Seven Plus or Minus Two, Mathematical and Computer Modelling, vol. 38, 2003. pp. 233-244.         [ Links ]

    17. Ozdemir, M.S., Validity and inconsistency in the analytic hierarchy process, Applied Mathematics and Computation, vol. 161, 2005. pp. 707-720.         [ Links ]

    18. YAVUZ, M. and ALPAY, S. Mining method selection by multiple criteria decision making tool by M.R. Bitarafan and M. Ataei in the Journal of SAIMM, vol. 104, no. 9, pp. 493-498. The Journal of the South African Institute of Mining and Metallurgy, vol. 107, no. 2, 2007. pp. 137.         [ Links ]

    19. YAVUZ, M. and ALPAY, S. EQS: a computer software using fuzzy logic for equipment selection in mining engineering by A. Basçetin, O. Öztas¸, and A.I. Kanli in the Journal of SAIMM, vol. 106, no. 1, pp. 63-70. The Journal of the South African Institute of Mining and Metallurgy, vol. 107, no. 2, 2007. pp. 138.         [ Links ]

    20. YAVUZ, M. Analytical hierarchy process for selection of roadheaders, by O. Acaroglu, H. Ergin, and S. Eskikaya in the Journal of SAIMM, vol. 106, no. 8, pp. 569-575. The Journal of the South African Institute of Mining and Metallurgy, vol. 107, no. 2, 2007. pp. 138.         [ Links ]

    21. TRIANTAPHYLLOU, E. and SÁNCHEZ, A. A sensitivity analysis approach for some deterministic multi-criteria decision making methods, Decision Sciences, vol. 28, no. 1, 1997. pp. 151-194.         [ Links ]

    22. SAMANTA, B., SARKAR, B., and MURHERJEE, S.K. Selection of opencast mining equipment by a multi-criteria decision-making process, Mining Technology (Trans. Inst. Min. Metall. A), vol. 111, no. 2, 2002. pp. A136-A142.         [ Links ]

    23. KAZAKIDIS, V.N., MAYER, Z., and SCOBLE, M.J. Decision making using the analytic hierarchy process in mining engineering, Mining Technology (Trans. Inst. Min. Metall. A), vol. 113, no. 1, 2004. pp. A30-A42.         [ Links ]

    24. BASCETIN, A. An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine, Mining Technology (Trans. Inst. Min. Metall. A), vol. 113, no. 3, 2004. pp. A192-A199.         [ Links ]

    25. ALPAY, S. and YAVUZ, M. A Decision Support System for Underground Mining Method Selection, Lecture Notes in Computer Science, vol. 4570, 2007. pp. 334-343.         [ Links ]

    26. YAVUZ, M., IPHAR, M., and ONCE, G. The optimum support design selection by using AHP method for the main haulage road in WLC Tuncbilek colliery, Tunnelling and Underground Space Technology, vol. 23, no. 2, 2008. pp. 111-119.         [ Links ]