Effects of varying input and output points on new aisle designs in warehouses

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Date

2016

Authors

Ömer Öztürkoǧlu

Journal Title

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Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
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Abstract

New aisle designs have been proposed for unit-load warehouses recently in the literature. Most of these designs propose reduction in single-command expected travel distance considering flow from only one input/output (IO) point which is centrally located on the bottom of warehouse. Therefore in this study we investigate the effects of varying number of IO points on both the layout and the distance. We use a warehouse network model to calculate expected single-command distance. We also use a Particle Swarm Optimization algorithm to search for the optimal values of the warehouse design variables. We showed that Leaf designs are robust for less than 7 input and output points on the bottom of the warehouse. © 2017 Elsevier B.V. All rights reserved.

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Keywords

Evolutionary Algorithms, Optimization, Particle Swarm Optimization (pso), A-particles, Aisle Design, Input And Outputs, Input/output, Network Modeling, Optimal Values, Travel Distance, Warehouse Design, Warehouses, Evolutionary algorithms, Optimization, Particle swarm optimization (PSO), A-particles, Aisle design, Input and outputs, Input/output, Network modeling, Optimal values, Travel distance, Warehouse design, Warehouses

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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OpenCitations Citation Count
8

Source

2016 IEEE Congress on Evolutionary Computation CEC 2016

Volume

Issue

Start Page

3925

End Page

3932
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Scopus : 8

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Mendeley Readers : 11

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