TEDARK ZİNCİR ULAŞTIRMA PROBLEMİ İÇİN BİR SEZGİSEL ÇÖZÜM: GENETİK ALGORİTMA YAKLAŞIM

Tedarik zinciri ağ tasanm problemi, tedarik zincirini oluşturan öğelerin sayılarının ve konumlarının tespiti, birbirleri arasındaki ürün akış miktanmn belirlenmesi şeklinde tanımlanabilir. Tasanm probleminin ana hedefi bu planlama faaliyetlerinin minimum mali¬yet ile gerçekleştirilmesi olarak tanımlanabilir. Ulaştırma problemi olarak formüle edilebi¬len bu problemde amaç değişik arz noktalarından değişik talep noktalarına toplam maliyeti en küçükleyecek şekilde ürünün nasıl taşınacağının tespit edilmesidir. Bu çalışmada stan¬dart lineer ulaştırma problemi temelinde genetik algoritmalar uygulanmış ve ulaştırma probleminin genetik gösterimi ile karşılaşılan zorluklar açıklanmıştır. Problemin genetik gösteriminde kullanılan vektör gösterim yapısı ve matris gösterim yapıları genetik operatör¬lerin uygulanması ve amaç fonksiyonun değerlendirilmesi açandan incelenmiştir. Yapılan analizler ile ulaştırma probleminin çözümünde vektör ve matris gösterimlerinin etkinlikleri belirli bir iterasyon sayanda optimum çözüme yaklaşma amacı açandan incelenmiştir. Sonuç olarak ulaştırma probleminin genetik algoritmalar ile çözümünde matris gösterimin vektör gösterime göre daha başanlı sonuçlar ürettiği ve aynca kod basitliği ve uygulanabi¬lirliği açandan da daha üstün olduğu belirlenmiştir

Anahtar Kelimeler:

Tedarik Zinciri Yönetimi, Standart Lineer Ulajürma Proble¬mi, Genetik Algoritmalar, Genetik Operatörler, Matlab

AN HEURISTIC SOLUTION FOR SUPPLY CHAIN TRANSPORT PROBLEM: GENETICS ALGORITHMS APPROACH

Supply chain network design problem can be defined as determining the locations, number of supply chain members and the amount of product flows between the chain members. The main purpose of the design problem can be defined as realizing these planning activities supply points to different demand points with minimum cost. In this study, genetic algorithms were applied to standard linear transportation problems and difficulties were explained by using the genetic illustration of the transportation problem. Vector structure and matrix structure of the genetic problem are examined in terms of application of genetic operators and evaluation of objective function. By analyzing the solutions of the transportation problem, vector and matrix structure efficiencies are examined in terms of achieving the optimum solution by specific iteration numbers. The article concludes that matrix structure of genetic problems is superior to vector structure in terms of providing better solutions, code simplicity and applicability

Keywords:

Supply Chain Management, Standart Linear Transport Problem, Genetic Algorithms, Genetic Operators, Matlab,

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