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

Safak Kiris, Derya Deliktas, Ozden Ustun

Öz


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.

 


Anahtar Kelimeler


Experimental design, Genetic algorithm, Order picking, weighted sum scalarization

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Creative Commons Lisansı
Doğuş Üniversitesi Dergisi'nin içeriği Creative Commons Atıf-Gayriticari 4.0 Uluslararası Lisansı ile lisanslanmıştır.
 

İletişim:

Doğuş Üniversitesi Dergisi
Acıbadem Zeamet Sokak, No: 21
34722 - Kadıköy, İSTANBUL
E-posta: journal@dogus.edu.tr