Warehouse Planning for Maximum Area Efficiency in the White Goods Sector

Gizem Berkdemir; Gizem Atak; Ferhan Çebi

doi:10.1007/978-3-030-62784-3_51

Warehouse Planning for Maximum Area Efficiency in the White Goods Sector

Gizem Berkdemir
, Gizem Atak
, Ferhan Çebi^*

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In today’s intense competitive environment, businesses focus on improving their systems. Warehouse management is one of the most important areas of supply chain management. The placement of storage areas; directly affects the processes such as receiving, picking and shipment and therefore plays an important role in the elimination of idle areas. In this study, it is aimed to develop a model that maximizes the storage area utilization efficiency for 3 different product groups of an enterprise operating in the white goods sector. The model is solved by using goal programming.

Original language	English
Title of host publication	Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey
Editors	Numan M. Durakbasa, M. Güneş Gençyılmaz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	598-603
Number of pages	6
ISBN (Print)	9783030627836
DOIs	https://doi.org/10.1007/978-3-030-62784-3_51
Publication status	Published - 2021
Event	International Symposium for Production Research, ISPR 2020 - Antalya, Turkey Duration: 24 Sept 2020 → 26 Sept 2020

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	International Symposium for Production Research, ISPR 2020
Country/Territory	Turkey
City	Antalya
Period	24/09/20 → 26/09/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Idle area minimization
Stocking
Storage management
Supply chain management
Warehouse efficiency

Access to Document

10.1007/978-3-030-62784-3_51

Cite this

Berkdemir, G., Atak, G., & Çebi, F. (2021). Warehouse Planning for Maximum Area Efficiency in the White Goods Sector. In N. M. Durakbasa, & M. G. Gençyılmaz (Eds.), Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey (pp. 598-603). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62784-3_51

Berkdemir, Gizem ; Atak, Gizem ; Çebi, Ferhan. / Warehouse Planning for Maximum Area Efficiency in the White Goods Sector. Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey. editor / Numan M. Durakbasa ; M. Güneş Gençyılmaz. Springer Science and Business Media Deutschland GmbH, 2021. pp. 598-603 (Lecture Notes in Mechanical Engineering).

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abstract = "In today{\textquoteright}s intense competitive environment, businesses focus on improving their systems. Warehouse management is one of the most important areas of supply chain management. The placement of storage areas; directly affects the processes such as receiving, picking and shipment and therefore plays an important role in the elimination of idle areas. In this study, it is aimed to develop a model that maximizes the storage area utilization efficiency for 3 different product groups of an enterprise operating in the white goods sector. The model is solved by using goal programming.",

keywords = "Idle area minimization, Stocking, Storage management, Supply chain management, Warehouse efficiency",

author = "Gizem Berkdemir and Gizem Atak and Ferhan {\c C}ebi",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Symposium for Production Research, ISPR 2020 ; Conference date: 24-09-2020 Through 26-09-2020",

year = "2021",

doi = "10.1007/978-3-030-62784-3\_51",

language = "English",

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series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "598--603",

editor = "Durakbasa, \{Numan M.\} and Gen{\c c}yılmaz, \{M. G{\"u}ne{\c s}\}",

booktitle = "Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey",

address = "Germany",

}

Berkdemir, G, Atak, G & Çebi, F 2021, Warehouse Planning for Maximum Area Efficiency in the White Goods Sector. in NM Durakbasa & MG Gençyılmaz (eds), Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 598-603, International Symposium for Production Research, ISPR 2020, Antalya, Turkey, 24/09/20. https://doi.org/10.1007/978-3-030-62784-3_51

Warehouse Planning for Maximum Area Efficiency in the White Goods Sector. / Berkdemir, Gizem; Atak, Gizem; Çebi, Ferhan.
Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey. ed. / Numan M. Durakbasa; M. Güneş Gençyılmaz. Springer Science and Business Media Deutschland GmbH, 2021. p. 598-603 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Atak, Gizem

AU - Çebi, Ferhan

PY - 2021

Y1 - 2021

N2 - In today’s intense competitive environment, businesses focus on improving their systems. Warehouse management is one of the most important areas of supply chain management. The placement of storage areas; directly affects the processes such as receiving, picking and shipment and therefore plays an important role in the elimination of idle areas. In this study, it is aimed to develop a model that maximizes the storage area utilization efficiency for 3 different product groups of an enterprise operating in the white goods sector. The model is solved by using goal programming.

AB - In today’s intense competitive environment, businesses focus on improving their systems. Warehouse management is one of the most important areas of supply chain management. The placement of storage areas; directly affects the processes such as receiving, picking and shipment and therefore plays an important role in the elimination of idle areas. In this study, it is aimed to develop a model that maximizes the storage area utilization efficiency for 3 different product groups of an enterprise operating in the white goods sector. The model is solved by using goal programming.

KW - Idle area minimization

KW - Stocking

KW - Storage management

KW - Supply chain management

KW - Warehouse efficiency

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U2 - 10.1007/978-3-030-62784-3_51

DO - 10.1007/978-3-030-62784-3_51

M3 - Conference contribution

AN - SCOPUS:85096472477

SN - 9783030627836

T3 - Lecture Notes in Mechanical Engineering

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A2 - Durakbasa, Numan M.

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PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 24 September 2020 through 26 September 2020

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Berkdemir G, Atak G, Çebi F. Warehouse Planning for Maximum Area Efficiency in the White Goods Sector. In Durakbasa NM, Gençyılmaz MG, editors, Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey. Springer Science and Business Media Deutschland GmbH. 2021. p. 598-603. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-62784-3_51

Warehouse Planning for Maximum Area Efficiency in the White Goods Sector

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Bibliographical note

Keywords

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