Doğuş Üniversitesi Dergisi

Doğuş Üniversitesi Dergisi

Order Picking Problem in a Warehouse with Bi-Objective Genetic Algorithm Approach: Case Study

Yazarlar: Safak Kiris, Derya Deliktas, Ozden Ustun

Cilt 19 , Sayı 1 , 2018 , Sayfalar -

Konular:-

Anahtar Kelimeler:Experimental design,Genetic algorithm,Order picking,Weighted sum scalarization

Özet: In this paper, an order picking problem with the capacitated forklift in a warehouse is studied by considering the total distance and the penalized earliness/tardiness. These objectives are important to reduce transportation costs and to satisfy customer expectations. Since this problem has been known as NP-hard, a genetic algorithm (GA) is proposed to solve the bi-objective order picking problem. The proposed approach is applied to auto components industry that produces wire harnesses responsible for all electrical functions in the vehicle. Experimental design is used for tuning the influential parameters of the proposed GA. The GA approach was solved by weighted sum scalarization.  

ATIFLAR
Atıf Yapan Eserler
Henüz Atıf Yapılmamıştır
KAYNAK GÖSTER
BibTex
KOPYALA
@article{2018, title={Order Picking Problem in a Warehouse with Bi-Objective Genetic Algorithm Approach: Case Study}, volume={19}, publisher={Doğuş Üniversitesi Dergisi}, author={Safak Kiris, Derya Deliktas, Ozden Ustun}, year={2018} }
APA
KOPYALA
Safak Kiris, Derya Deliktas, Ozden Ustun. (2018). Order Picking Problem in a Warehouse with Bi-Objective Genetic Algorithm Approach: Case Study (Vol. 19). Vol. 19. Doğuş Üniversitesi Dergisi.
MLA
KOPYALA
Safak Kiris, Derya Deliktas, Ozden Ustun. Order Picking Problem in a Warehouse with Bi-Objective Genetic Algorithm Approach: Case Study. no., Doğuş Üniversitesi Dergisi, 2018.
Atıf Görüntüle
PDF Görüntüle
Kaynak Görüntüle
Paylaş
Dergi Bilgileri