Enabling Big Data Analytics and AI Solutions for Smart Warehouse

Nihal Er, Gizem Melike Cidal, Simge Ünsal*, Muammer Altan Çakır

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Today’s warehouse processes require more flexibility than conventional methods in behalf of greater responsiveness to customer orders. The improvement of a smart warehouse strategy through the use of big data technologies and AI, including smart data collection and data manipulation tools, to improve warehouse efficiency and productivity is a popular discussion topic. AI-based data manipulation techniques are used to categorize the types of optimal input for the operation of retrieving goods from specified storage locations based on customer orders, order picking to provide more flexible planning and predictive analysis in the warehouse and distribution center. This study focuses specifically on a web-based interactive AI order picking optimization tool for data manipulation. The AI-based data manipulation tool has a mainspring effect on warehouse performance to get a robust dynamic order picking operation that allows for changes of picking lists during a picking cycle in the warehouse.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditorsCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
PublisherSpringer Science and Business Media Deutschland GmbH
Pages929-936
Number of pages8
ISBN (Print)9783030856250
DOIs
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Duration: 24 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume307
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/TerritoryTurkey
CityIstanbul
Period24/08/2126/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Artificial intelligence solutions
  • Data manipulation
  • Order picking operation
  • Order picking optimisation
  • Smart warehouse

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