Forklift Alternatiflerinin KEMIRA-M Yöntemi ile Değerlendirilmesi

İşletmelerde, insan gücünün yetmediği ağır yüklerin kaldırılması, istenilen yerlere götürülmesi ve uygun yerlere istiflenmesi için genellikle forkliftler kullanılmaktadır. Depoların aktif kullanımının sağlanması için depoların fiziki şartlarına uygun forkliftin seçilmesi önemlidir. Bu çalışmada bir tekstil işletmesinde depolamada kullanılacak forklift alternatiflerinin değerlendirilerek işletme açısından en uygun olan forkliftin belirlenmesinde yeni bir Çok Kriterli Karar Verme (ÇKKV) yöntemi olan KEMIRA-M (KEmeny Median Indicator Rank Accordance-Modified) yöntemi kullanılmıştır. Bu yöntem çok fazla başlangıç bilgisi gerektirmemekte, bu açıdan kriterlerin ağırlıklarını belirlemede ve en uygun alternatifin seçiminde kullanılabilmektedir. Çalışmanın sonucunda tekstil işletmesinin ihtiyaçlarını en iyi karşılayacak forklift alternatifi KEMIRA-M yöntemi ile belirlenerek işletmeye karar alma sürecinde yardımcı olunmuştur.  

Evaluation of Forklift Alternatives with KEMIRA-M Method

Businesses generally uses forklifts for lifting, stacking and transporting to the desired location of heavy loads in case of human power is not enough. It is important to select suitable forklifts for the physical conditions of the warehouses in order to ensure the active use of them. In storage, the selection of the appropriate forklift for physical conditions of the warehouse is important to use warehouses effectively. In this study, KEMIRA-M (KEmeny Median Indicator Rank Accordance-Modified) method, which is a new Multi-Criteria Decision Making (MCDM) method, was used to evaluate forklift alternatives to be used in storage and to determine the most appropriate forklift for the textile company. This method does not require much initial information, so it can be used to determine the weights of the criteria and to select the most appropriate alternative. As a result of the study, forklift alternative that will best meet the needs of the textile company was determined with KEMIRA-M method, by this way the company has been aided during the decision process. 

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