A new warehouse design problem and a proposed polynomial-time optimal order picking algorithm

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Date

2018

Authors

Omer Ozturkoglu
Deniz Hoser

Journal Title

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Volume Title

Publisher

GAZI UNIV FAC ENGINEERING ARCHITECTURE

Open Access Color

GOLD

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No

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Abstract

In this study we propose a new design problem that relates to orientation of cross aisles in warehouses. In this problem the main orthogonal cross aisle which is very common to be seen in warehouses to facilitate travel between locations is planned to be designed as discrete manner such as tunnels along picking aisles. Hence the problem of locating these tunnels along picking aisles so as to increase efficiency of order picking operations which is one of the most costly and the most related operations with the order delivery time in warehouses is propounded. Additionally we develop a new dynamic programming based polynomial time algorithm to calculate optimal length of order picking tour in this new design problem. Hence this algorithm provides very quick solutions even for large pick list sizes. The computational performance of this algorithm is compared with Held-Karp branch and bound algorithm which is a well-known algorithm for travelling salesman problem. Last we solve an example problem and explain how the algorithm is implemented to generate optimal tour.

Description

Keywords

Warehouse design, Order-picking tour length, TRAVELING-SALESMAN PROBLEM, UNIT-LOAD WAREHOUSES, STORAGE POLICIES, ROUTING POLICIES, MULTIPLE PICKUP, AISLE DESIGN, CROSS-AISLES, DISTANCE, MODEL, OPTIMIZATION, Order-Picking Tour Length, Warehouse Design, Order Picking Tour Length, İşletme, Endüstri Mühendisliği, Depo tasarımı;sipariş toplama rota uzunluğu

Fields of Science

0211 other engineering and technologies, 02 engineering and technology

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OpenCitations Citation Count
2

Source

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

Volume

2018

Issue

4

Start Page

1569

End Page

1588
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CrossRef : 1

Scopus : 10

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Mendeley Readers : 26

SCOPUS™ Citations

10

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Web of Science™ Citations

5

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3

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