Warehouse Design and Order Picking Algorithms for Apparel Industry
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Date
2024
Authors
Deniz Su Güntekin
Egemen Şahin
Elif Ünlü
Nesrin Özbay
Mahmut Ali Gökçe
Simge Güçlükol Ergin
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Warehouse management has a critical role for success for the apparel industry. It is important because it ensures effective inventory control efficient order fulfillment optimal space utilization labor efficiency cost reduction and customer satisfaction which all directly effects the bottom line. A particularly important part of this optimization includes the design of the warehouse. In this study various product placement and order-picking scenarios have been studied in combination with numerous warehouse designs and implementation is presented for a large apparel company. The implementation was done in the warehouse of one of the largest Retail Textile Company specializing in women’s apparel production. First a comprehensive literature review was conducted for this study. As a result of the literature review different picking and routing algorithms were combined. The solution was developed first by building a simulation model. Different placement scenarios scenarios for assigning orders to workers and routing algorithms are presented in conjunction with warehouse designs. The aim is to reduce the total product placement and picking times and increase the efficiency of workers by utilizing different placement and picking algorithms. With this study the total placement and picking time is reduced by 36.56% compared to the current system. © 2024 Elsevier B.V. All rights reserved.
Description
Keywords
Order Picking, Order Placement, Routing, Warehouse Design, Warehouse Management, Warehouse Optimization Simulation, Cost Reduction, Efficiency, Inventory Control, Warehouses, Apparel Industry, Optimization-simulation, Order Placement, Order-picking, Product Placement, Routings, Warehouse Design, Warehouse Management, Warehouse Optimisation, Warehouse Optimization Simulation, Customer Satisfaction, Cost reduction, Efficiency, Inventory control, Warehouses, Apparel industry, Optimization-simulation, Order placement, Order-picking, Product placement, Routings, Warehouse design, Warehouse management, Warehouse optimisation, Warehouse optimization simulation, Customer satisfaction, Routing, Order Picking, Warehouse Design, Order Placement, Warehouse Management, Warehouse Optimization Simulation
Fields of Science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
N/A
Source
International Symposium for Production Research ISPR 2023
Volume
Issue
Start Page
806
End Page
817
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Scopus : 0
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Mendeley Readers : 9
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