İran Tabas Kömür Madeni Projesinde Uygun Tünel Açma Makinası Seçimi için Bulanık AHP Yaklaşımı.

Özellikle mekanize madencilik işletmelerinde kullanılan mekanik kazıcılarda olduğu gibi makina techizat seçimi,bir maden projesi planlaması ve dizaynındaki en önemli konudur ve kazma işleminin hızı ve maliyeti üzerinde belirgin etkisi bulunmaktadır. Bu nedenle, önemli bir konu olup uygun şekilde ilgilenilmesi ve işletilmesi gerekmektedir.Tıpkı diğer mekanize projelerdeki gibi, mekanize kömür madenciliği makina yoğunluğunun çok fazla olduğu bir alan olup, uygun ekipman seçimi projenin başarısında ve üretimde anahtar rol oynar.Bu bağlamda, maden yatağının jeolojik ve jeoteknik temel parametreleri, çevreleyen seviyelerin özellikleri ile ekonomik ve teknik parametrelerin hesaba katılmasıçok önemlidir. Dolayısıyla, mekanize kömür madenciliğindeki tünel açma makinaları gibi ana ekipman seçimi, mekanize kömür madenciliğinde çok-kriterli karar almayı gerektiren problem oluşturur. Çok-kriterli karar alma yöntemi bir dizi kriter baz alınarak en çok opsiyonda en yüksek dereceyi alabilen tünel açma makinalarını derecelendirmekte kullanılır. Bu makale, İran’ın en büyük ve tek tam mekanize olarak çalışan Tabas kömür madeni projesine uygun tünel açma makinasını Bulanık Analitik Hiyerarşi İşlemi (Fuzzy AHP) yöntemine dayalı değerlendirme modeli sunmaktadır.Bu yöntem, tünel açma makinası seçiminde maden ocağı tasarımcılarına ve karar mercilerine belirsiz koşulların olduğu durumda destek olacaktır. Piyasada yaygın olan üç olası tünel açma makinası ile değerlendirme aşamasında kullanılan beş kriter çalışma kapsamında ele alınmıştır.Önerilen yöntem madene uygulanmış ve üç aday arasından en uygun tünel açma makinası olan, 0.435 ağırlıkla DOSCO MD1100 seçilmiştir. Diğer seçeneklerden olan KOPEYSK KP21 ve WIRTH T2.11 sırasıyla 0.323 ve 0.242 ağırlık notu almıştır

Anahtar Kelimeler:

Çok-kriterli karar verme, bulanık analitik hiyerarşi işlemi, tünel kazma makinası seçimi, Tabas kömür madeni projesi

A Fuzzy AHP Approach to Select the Proper Roadheader in Tabas Coal Mine Project of Iran.

Machinery equipment selection, particularly mechanical excavators in mechanized mining operations, is one of the most important issues through a mine project planning and design, and has a remarkable effect on speed and cost of excavating operation. Therefore, it is an essential matter and needs to be concerned and managed appropriately. Alike other mechanized projects, mechanized coal mining is very machinery-intensive so that appropriate equipment selection plays a key role in project’s success and productivity. In this respect, it is crucial to consider the basic parameters such as geological and geotechnical properties of ore deposit, its surrounding strata, economic and technical parameters, etc through the selection process; hence, choosing the major equipment and mechanical miners such as roadheaders in mechanized coal mining is a multi-criteria decision making problem. A multi-criteria decision making method is used to rank available roadheaders based on a set of criteria, ultimately leading to suggest the high-ranked one as the best option.This paper presents an evaluation model based on Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach to select the proper roadheading machine in Tabas coal mine project; the largest and the only fully mechanized coal mine in Iran. This method assists mine designers and decision makers in the process of roadheader selection under fuzzy environment where the vagueness and uncertainty are taken into account with linguistic variable parameterized by triangular fuzzy numbers. The broad issue includes three possible roadheading machines and five criteria to evaluate them. The suggested method applied to the mine and the most appropriate roadheader, among three candidate roadheaders, has been ranked and selected as DOSCO MD1100 roadheader with the highest weight of 0.435. The weights of other options namely KOPEYSK KP21 and WIRTH T2.11 found as 0.323 and 0.242, respectively

Keywords:

Multi-Criteria Decision Making; Fuzzy Analytic Hierarchy Process; Roadheader Selection; Tabas Coal,

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