Bu çalışma, lojistik yönetimini yakından ilgilendiren palet yükleme problem (PYP) tipi üzerine yoğunlaşan bir çalışmadır. Dağıtıcı palet yükleme problemi özelinde yapılan bu çalışmada ürünlerin en, boy ve yükseklik ölçülerinden bir boyutu aynı olacak şekilde kabul edilip çalışma 3 boyutlu palet yüklemeden 2 boyutlu palet yükleme problemine indirgenecek şekilde incelenmiştir. Öyle ki, farklı müşterilerin ürünlerini taşıma sırasında karıştırmayacak şekilde paletlere yüklenmesi kısıtı üzerine yoğunlaşır ve problem 2-boyutta inceleneceği için de doğal olarak nesnelerin sadece 2-boyutta döndürülmesine izin verilmiştir. Problem çözümü için bir Genetik Algoritma (GA) geliştirilmiş ve geliştirilen bu algoritmanın iyi sonuç verdiği gösterilmiştir.
This study is a study focused on the type of palette charging problem (PYP), which is closely related to logistics management. In this study, the distributor’s palette charging problem was made specifically, the product’s size of the size and height measurements were accepted to be the same and the work was studied to reduce the problem of the two-dimensional palette charging without charging the three-dimensional palette. So, different customers are focused on the limitation of charging on palettes in such a way that they do not confuse their products during transportation, and the problem will be studied in 2 dimensions, and it is naturally permitted that objects are only reversed in 2. A genetic algorithm (GA) for problem solving has been developed and developed and this algorithm has been shown to give good results.
This study emphasis on the type of pallet loading problem (PLP), which is closely associated with logistic management. In the study, which is made specifically for the distributor pallet loading problem, the dimensions of width, length and height of the products are considered to be the same, and the study, which is based on distributor pallet loading problem, has been conducted in a way that the dimensions of products will be reduced to the 2D pallet loading problem without loading a 3D pallet. The research concentrates on the constraint of loading different customers’ pallets so as not to mix their products during transportation and as the problem will be examined in 2-dimensions, instinctively objects are only allowed to be rotated in 2-dimensions. A Genetic Algorithm (GA) has been developed for the problem solution and this algorithm has been presented to give good results.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
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