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MULTI-CRITERIA DECISION MAKING METHODS AND USE OF IN MINING INDUSTRY

Yıl 2017, Cilt: 56 Sayı: 4, 181 - 196, 01.12.2017
https://doi.org/10.30797/madencilik.391953

Öz

Multi-criteria decision making (MCDM) includes both objective and subjective evaluation. Within the scope of this review article, the studies done in different areas of mining where multi-criteria decision making methods are used in the literature have been examined. It has been seen that these methods are used in many different areas of mining such as risk management planning process, mining equipment selection problems, mining method selection, selection of the appropriate location for the facilities, cutting method selection in natural stone quarries. With the help of multi-criteria decision making methods, alternatives in the decision making process can be ordered using appropriate scales, so MCDM can be a useful tool for guiding decision makers in the solution of different mining problems.

Kaynakça

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  • Alpay, S., Yavuz, M., 2009. Underground Mining Method Selection by Decision Making Tools. Tunnelling and Underground Space Techn., 24 (2), 173-184.
  • Alp, S., Engin, T., 2011. Trafik Kazalarının Nedenleri ve Sonuçları Arasındaki İlişkinin Topsis ve Ahp Yöntemleri Kullanılarak Analizi ve Değerlendirilmesi. İstanbul Ticaret Üniv. Fen Bilimleri Dergisi, 10 (19), 65-87.
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  • Azadeh, A., Osanloo, M., Ataei, M., 2010. A New Approach to Mining Method Selection Based on Modifying the Nicholas Technique, Applied Soft Computing, 10 (4), 1040-1061.
  • Badri, A., Nadeau, S., Gbodossou, A., 2013. A New Practical Approach to Risk Management for Underground Mining Project in Quebec. J. of Loss Prevention in the Process Indust., 26 (6), 1145-1158.
  • Bağcı, H., Rençber, Ö. F., 2014. Kamu Bankaları ve Halka Açık Özel Bankaların PROMETHEE Yöntemi ile Kârlılıklarının Analizi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(1), 38-47.
  • Bakhtavar, E., 2015. Determination of Optimum Drum Shearer for Tabas Mine Using Desicion Making Process. Türkiye 24. Uluslararası Madencilik Kongresi ve Sergisi, 919-924.
  • Ballı, S., Korukoğlu, S., 2009. Operating System Selection Using Fuzzy AHP and Topsis Methods. Math. & Comp. Appl., 14 (2), 119-130.
  • Balusa, B. C., Singam, J., 2017. Underground Mining Method Selection Using WPM and PROMETHEE. J. of the Institution of Engineers (India): Series D, 1-7.
  • Basçetin, A., 2004. An Application of the Analytic Hierarchy Process in Equipment Selection at Orhaneli Open Pit Coal Mine. Mining Technology, 113 (3), 192-199.
  • Başçetin, A., Kesimal, A., 1999. Açık İşletmelerde Yükleme-taşıma Sistemi Seçiminde Yeni Bir Yaklaşım. Türkiye 16. Madencilik Kongresi, 57-64.
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  • Bender, M., Simonovic, S., 2000. A Fuzzy Compromise Approach to Water Resource Systems Planning Under Uncertainty. Fuzzy Sets and Systems, 115 (1), 33-44.
  • Bodziony, P., Kasztelewicz, Z., Sawicki, P., 2016. The Problem of Multiple Criteria Selection of the Surface Mining Haul Trucks. Archives of Mining Sciences, 61 (2), 223-243.
  • Bogdanovic, D., Nikolic, D., Ilic, I., 2012. Mining Method Selection by Integrated AHP and PROMETHEE Method. Anais da Academia Brasileira de Ciencias, 84 (1), 219-233.
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  • Chen, C. T., 2000. Extensions of the Topsis for Group Decision Making under Fuzzy Environment. Fuzzy Sets and Systems, 114 (1), 1-9.
  • Chen, C. T., Lin, C. T., Huang, S. F., 2006. A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. Int. J. of Production Economies, 102 (2), 289-301.
  • Cheng-Min, F., Wang R-T., 2001. Considering the Financial Ratios on the Performance Evaluation of Highway Bus Industry. Transport Reviews, 21 (4), 449-467.
  • Chu, M.T., Shyu, J., Tzeng, G.H., Khosla, R., 2007. Comparison Among Three Analytical Methods for Knowledge Communities Group Decision Analysis. Expert Systems with Applications, 33 (4), 1011-1024.
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  • Dağdeviren, M., Tamer, E., 2001. Tedarikçi Firma Seçiminde Analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması. Gazi Üniv. Mühendislik-Mimarlık Fak. Dergisi, 16 (2), 41-52.
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ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI

Yıl 2017, Cilt: 56 Sayı: 4, 181 - 196, 01.12.2017
https://doi.org/10.30797/madencilik.391953

Öz

Çok kriterli karar verilmesi (ÇKKV) hem objektif hem de sübjektif değerlendirme içermektedir. Yapılan bu derleme çalışmasında, literatürde çok kriterli karar verme yöntemlerinin kullanıldığı madenciliğin farklı alanlarında yapılmış çalışmalar incelenmiştir. Söz konusu yöntemlerin risk
yönetim planlaması sürecinde kullanımından, uygun ekipman seçimi problemlerine, üretim yöntemi seçiminden, tesisler için uygun yer belirlenmesine, doğal taş ocaklarında kesme yöntemi seçimi gibi birçok farklı alanda kullanıldığı görülmüştür. Çok kriterli karar verme
yöntemleri yardımıyla karar verme sürecinde seçimi yapılmak istenilen alternatifler uygun bir ölçek kullanılarak sıralanabilmekte, böylece madencilikte karşılaşılan çeşitli problemlerin çözümünde karar vericilere yol gösterici nitelikte uygun seçenekler sunabilen faydalı birer araç
olabilmektedirler.

Kaynakça

  • Akın, A., 2015. Açık Ocak İşletmeciliğinde Pasa Döküm Sahasının Bulanık Analitik Hiyerarşi Yöntemi ile Belirlenmesi. Y. Lisans Tezi, Hacettepe Üniv. FBE, Ankara.
  • Alpay, S., Yavuz, M., 2009. Underground Mining Method Selection by Decision Making Tools. Tunnelling and Underground Space Techn., 24 (2), 173-184.
  • Alp, S., Engin, T., 2011. Trafik Kazalarının Nedenleri ve Sonuçları Arasındaki İlişkinin Topsis ve Ahp Yöntemleri Kullanılarak Analizi ve Değerlendirilmesi. İstanbul Ticaret Üniv. Fen Bilimleri Dergisi, 10 (19), 65-87.
  • Ataei, M., 2005. Multicriteria Selection for an Alumina-Cement Plant Location in East Azerbaijan Province of Iran. J. of The South African Institute of Mining and Metallurgy, 105 (7), 507-514.
  • Azadeh, A., Osanloo, M., Ataei, M., 2010. A New Approach to Mining Method Selection Based on Modifying the Nicholas Technique, Applied Soft Computing, 10 (4), 1040-1061.
  • Badri, A., Nadeau, S., Gbodossou, A., 2013. A New Practical Approach to Risk Management for Underground Mining Project in Quebec. J. of Loss Prevention in the Process Indust., 26 (6), 1145-1158.
  • Bağcı, H., Rençber, Ö. F., 2014. Kamu Bankaları ve Halka Açık Özel Bankaların PROMETHEE Yöntemi ile Kârlılıklarının Analizi. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(1), 38-47.
  • Bakhtavar, E., 2015. Determination of Optimum Drum Shearer for Tabas Mine Using Desicion Making Process. Türkiye 24. Uluslararası Madencilik Kongresi ve Sergisi, 919-924.
  • Ballı, S., Korukoğlu, S., 2009. Operating System Selection Using Fuzzy AHP and Topsis Methods. Math. & Comp. Appl., 14 (2), 119-130.
  • Balusa, B. C., Singam, J., 2017. Underground Mining Method Selection Using WPM and PROMETHEE. J. of the Institution of Engineers (India): Series D, 1-7.
  • Basçetin, A., 2004. An Application of the Analytic Hierarchy Process in Equipment Selection at Orhaneli Open Pit Coal Mine. Mining Technology, 113 (3), 192-199.
  • Başçetin, A., Kesimal, A., 1999. Açık İşletmelerde Yükleme-taşıma Sistemi Seçiminde Yeni Bir Yaklaşım. Türkiye 16. Madencilik Kongresi, 57-64.
  • Baylan, E. B., 2015. Türkiye’deki Mermer Sektörü Sorunlarının Tespit Edilip Analitik Hiyerarşi Prosesi Yöntemi ile Önceliklendirilmesi. Türkiye 24. Uluslararası Madencilik Kongresi ve Sergisi, 825-834.
  • Behzadian, M., Kazemzadeh, R. B., Albadvi, A., Aghdasi, M., 2010. PROMETHEE: A Comprehensive Literatüre Review on Methodologies and Applications. European journal of Operational research, 200 (1), 198-215.
  • Bender, M., Simonovic, S., 2000. A Fuzzy Compromise Approach to Water Resource Systems Planning Under Uncertainty. Fuzzy Sets and Systems, 115 (1), 33-44.
  • Bodziony, P., Kasztelewicz, Z., Sawicki, P., 2016. The Problem of Multiple Criteria Selection of the Surface Mining Haul Trucks. Archives of Mining Sciences, 61 (2), 223-243.
  • Bogdanovic, D., Nikolic, D., Ilic, I., 2012. Mining Method Selection by Integrated AHP and PROMETHEE Method. Anais da Academia Brasileira de Ciencias, 84 (1), 219-233.
  • Chang, D.Y., 1996. Extent Analysis and Synthetic Decision. Optimization Techniques and Applications, 1 (1), 352-355.
  • Chen, S.J., Hwang, C.L., 1992. Fuzzy Multiple Attribute Decision-Making Methods and Applications. Springer, Verlag, Berlin, s. 536.
  • Chen, C. T., 2000. Extensions of the Topsis for Group Decision Making under Fuzzy Environment. Fuzzy Sets and Systems, 114 (1), 1-9.
  • Chen, C. T., Lin, C. T., Huang, S. F., 2006. A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. Int. J. of Production Economies, 102 (2), 289-301.
  • Cheng-Min, F., Wang R-T., 2001. Considering the Financial Ratios on the Performance Evaluation of Highway Bus Industry. Transport Reviews, 21 (4), 449-467.
  • Chu, M.T., Shyu, J., Tzeng, G.H., Khosla, R., 2007. Comparison Among Three Analytical Methods for Knowledge Communities Group Decision Analysis. Expert Systems with Applications, 33 (4), 1011-1024.
  • Çitli N., 2006. Bulanık Çok Kriterli Karar Verme, Y. Lisans Tezi, Yıldız Teknik Üniv. FBE, İstanbul.
  • Dağdeviren, M., Tamer, E., 2001. Tedarikçi Firma Seçiminde Analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması. Gazi Üniv. Mühendislik-Mimarlık Fak. Dergisi, 16 (2), 41-52.
  • Deng, J., 1989. Introduction to Grey System Theory. The Journal of Grey System, 1(1), 1-24.
  • De-shun, L., Kai-li, X., 2011. Research on the Subjective Weight of the Risk Assessment in the Coal Mine System Based on GSPA-IAHP. Procedia Engineering, 26, 1956-1963.
  • Eleren, A., Ersoy, M., 2007. Mermer Blok Kesim Yöntemlerinin Bulanık TOPSIS Yöntemiyle Değerlendirilmesi. Madencilik, 46 (3), 9-22.
  • Ersoy, M., 2013. The Role of Occupational Safety Measures on Reducing Accidents in Marble Quarries of Iscehisar Region. Safety Science, 57, 293-302.
  • Feng, C.M., Wang, R.T., 2000. Performance Evaluation for Airlines Including the Consideration of Financial Ratios. Journal of Air Transport Management, 6, 3, 133-142.
  • Fouladgar, M. M., Yazdani-Chamzini, A., Zavadskas, E. K., 2012. Risk Evaluation of Tunneling Projects. Archives of Civil and Mechanical Engineering,12 (1), 1-12.
  • Gelvez, E.J.I.R., Aldana, E.F.A.C., 2014. Mining Method Selection Metodology by Multiple Criteria Desicion Analysis-Case Study in Colombian Coal Mining. Int. Symp. of the Analytic Hierarchy Process, Washington D.C. U.S.A, 3 (1), 1-11.
  • Gligoric, Z., Beljic, C., Simeunovic, V., 2010. Shaft Location Selection at Deep Multiple Orebody Deposit by Using Fuzzy TOPSIS Method and Network Optimization. Expert Systems with Applications, 37 (2), 1408-1418.
  • Göksu, A., 2008. Bulanık Analitik Hiyerarşik Proses ve Üniversite Tercih Sıralamasında Uygulanması. Doktora Tezi, Süleyman Demirel Üniv. SBE, Isparta.
  • Gupta, S., Kumar, U. 2012. An Analytical Hierarchy Process (AHP) Guided Decision Model for Underground Mining Method Selection. Int. J. of Mining, Recl. and Envirn., 26 (4), 324-336.
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Toplam 89 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Derleme
Yazarlar

Mert Mutlu 0000-0002-6040-1186

Mehmet Sarı 0000-0001-9441-9256

Yayımlanma Tarihi 1 Aralık 2017
Gönderilme Tarihi 9 Haziran 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 56 Sayı: 4

Kaynak Göster

APA Mutlu, M., & Sarı, M. (2017). ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI. Bilimsel Madencilik Dergisi, 56(4), 181-196. https://doi.org/10.30797/madencilik.391953
AMA Mutlu M, Sarı M. ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI. Madencilik. Aralık 2017;56(4):181-196. doi:10.30797/madencilik.391953
Chicago Mutlu, Mert, ve Mehmet Sarı. “ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI”. Bilimsel Madencilik Dergisi 56, sy. 4 (Aralık 2017): 181-96. https://doi.org/10.30797/madencilik.391953.
EndNote Mutlu M, Sarı M (01 Aralık 2017) ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI. Bilimsel Madencilik Dergisi 56 4 181–196.
IEEE M. Mutlu ve M. Sarı, “ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI”, Madencilik, c. 56, sy. 4, ss. 181–196, 2017, doi: 10.30797/madencilik.391953.
ISNAD Mutlu, Mert - Sarı, Mehmet. “ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI”. Bilimsel Madencilik Dergisi 56/4 (Aralık 2017), 181-196. https://doi.org/10.30797/madencilik.391953.
JAMA Mutlu M, Sarı M. ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI. Madencilik. 2017;56:181–196.
MLA Mutlu, Mert ve Mehmet Sarı. “ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI”. Bilimsel Madencilik Dergisi, c. 56, sy. 4, 2017, ss. 181-96, doi:10.30797/madencilik.391953.
Vancouver Mutlu M, Sarı M. ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİ VE MADENCİLİK SEKTÖRÜNDE KULLANIMI. Madencilik. 2017;56(4):181-96.

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