Bulanık Analitik Hiyerarşi Süreci ve Bir Tekstil İşletmesinde Makine Seçim Problemine Uygulanması

Uygun makinelerin seçilmesi, verimli bir üretim ortamının geliştirilmesinde işletmeler tarafından verilmesi gereken önemli kararlardan biridir. Makine alternatifleri ile üretim stratejisi arasındaki ilişkileri belirlemek önem arz etmektedir. Makinelerin fonksiyonel gereklilikleri, kalitesi, verimliliği, maliyeti, servis olanakları, pazarda satışa sunulan uygun makine alternatifleri gibi kısıtlara bakıldığında makine seçim problemi, karmaşık ve çözümü için zaman gerektiren bir hal almaktadır. Bu çalışmanın amacı bir tekstil işletmesine en iyi tekstil makinesi seçiminde yardımcı olmak üzere, karar vericiye eldeki makine alternatifleri arasından uygun makineleri seçmesi için yol göstermektir. Bu çalışmada Bulanık Analitik Hiyerarşi Süreci (BAHS) yöntemi kullanılmıştır. Bu yöntemde, her kriterin ikili karşılaştırılması sonucu elde edilen değerler üçgen bulanık sayılar ile ifade edilmiştir. BAHS yönteminden yararlanarak, karar vericinin deneyimlerinden ve öznel algıdan kaynaklanan belirsizliğin üstesinden gelinerek, daha etkili bir karara varılmıştır.

Fuzzy Analytic Hierarchy Process and its Application to Machine Selection Problem in a Textile Firm

The selection of appropriate machines is one of the most crucial decisions for a manufacturing company to develop an efficient production environment. It is important to identify the relations between machine alternatives and manufacturing strategy. Considering the specifications such as the functional requirements, quality, efficiency, cost, service and suitable machine alternatives in the market, the selection procedure of machines can be quite complicated and time consuming. The aim of this study is to guide the decision maker in selecting the suitable machine alternatives and to help a textile company for selecting the best one. This study is based on Fuzzy Analytic Hierarchy Process (FAHP). In this method, the values from the pair-wise comparison of each criterion are expressed with triangular fuzzy numbers. By using FAHP, uncertainty and vagueness from subjective perception and the experiences of the decision maker can be effectively represented and reached a more effective decision.

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