Tesis düzenlemesi problemlerine karşılaştırmalı iki yaklaşım: (Graf teorisi (Hamilton tekniği) ve dal-sınır tekniği uygulaması)

Bu çalışmada, mevcut bir tesisin Malzeme Yönetimi Maliyet Giderleri (MYMG)'ni enazlamak ve yerleşim düzenlemesini seçenekli olarak elde edebilmek için birbirinden farklı iki değişik algoritma kullanılmıştır. Bu algoritmalardan ilki, Graf (Serim)Teorisi (GT)'ne dayanan ve en küçük maliyetli Hamilton Çevrimleri (HÇ)'ni esas alan Foulkes Algoritması (FA), ikincisi ise Gezgin Satıcı Problemi (GSP) gibi düşünülen probleme Dal-Sınır Algoritması (DSA) uygulamasıdır. Her iki algoritmanın bilgisayar programı tarafımızdan yazılmış (Quick Basic), paket program kullanılmamıştır. Bir grafta HÇ'nin bulunmasında kullanılan FA'nın, DSA'na nazaran, gerek ve yeter şartlar yerine getirildiğinde daha iyi sonuçlar verdiği görülmüş, elde edilen çözüm neticeleri sonuç bölümünde tartışılmıştır.

An application of Graph theory (Hamiltonian technique) and branch and bound technique on facility layout problems

In this study, two different algorithms have been used to obtain the alternative plant layout in order to minimize the materials handling cost. The first algorithm is the Foulkes Algorithm, which is essentially the Hamiltonian Cycles with minimized cost and is based on Graph Theory. The second one is the Branch and Bound Algorithm, which is considered as the Travelling Salesman Problem. The computer programs of both algorithms have been prepared specifically for the research and no package program has been used. It was observed that the Foulkes Algorithm provides better solutions compared to Branch and Bound Algorithm under necessary and satisfactory conditions. The final solutions are discussed in the last section.

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