Solution Of Order Batching Problem With Association Rules And Genetic Algorithm: A Case Study In Pharmacy Warehouse | Zendy

Furkan Yener | Zendy; Harun Reşit Yazg̈an | Zendy; Serap Ercan Cömert | Zendy; Sena Kır | Zendy; Yağmur Ezgi KAYA | Zendy

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Solution Of Order Batching Problem With Association Rules And Genetic Algorithm: A Case Study In Pharmacy Warehouse

Author(s) -

Furkan Yener,

Harun Reşit Yazg̈an,

Serap Ercan Cömert,

Sena Kır,

Yağmur Ezgi KAYA

Publication year - 2016

Publication title -

journal of transportation and logistics

Language(s) - Turkish

Resource type - Journals

ISSN - 2459-1718

DOI - 10.22532/jtl.267841

Subject(s) - order picking , order (exchange) , warehouse , genetic algorithm , computer science , association rule learning , pharmacy , mathematical optimization , association (psychology) , operations research , algorithm , data mining , mathematics , economics , business , marketing , medicine , finance , family medicine , philosophy , epistemology

Bu calismada, bir ecza deposunun gunluk siparis toplama stratejisi incelenmis ve uygun bir yaklasim gelistirilmistir. Urunlerin ve siparislerin hacimsel olarak kucuk oldugu, toplayici kapasitesinin goreceli olarak buyuk oldugu depolar icin uygun olan, siparis yiginlama stratejisi kullanilmistir. Gunluk siparisler, siparisler arasi iliskiyi en buyukleyen bir matematiksel modelin yardimiyla siparis yiginlarina ayrilmis. Birden cok siparisin bir araya gelmesiyle olusan yiginlar icerisinde benzer urunleri iceren siparisler bulundugu icin toplama sirasinda ki kayip zaman ve mesafeden tasarruf saglanacaktir. Matematiksel modelin kesin cozumunun zaman almasi nedeniyle genetik algoritma kullanilarak sonuc uretilmistir. Farkli toplama stratejileri sonucunda kat edilen toplam mesafe benzetim yardimiyla hesaplanarak, istatistiki olarak sonuclarin guvenilirligi ve performanslari sonuc bolumunde tartisilmistir.

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