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^*

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Digital Conversion on the Way to Industry 4.0 - Selected Papers from ISPR2020, 2020 Online - Turkey
Editörler	Numan M. Durakbasa, M. Güneş Gençyılmaz
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	598-603
Sayfa sayısı	6
ISBN (Basılı)	9783030627836
DOI'lar	https://doi.org/10.1007/978-3-030-62784-3_51
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Symposium for Production Research, ISPR 2020 - Antalya, Turkey Süre: 24 Eyl 2020 → 26 Eyl 2020

Yayın serisi

Adı	Lecture Notes in Mechanical Engineering
ISSN (Basılı)	2195-4356
ISSN (Elektronik)	2195-4364

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Symposium for Production Research, ISPR 2020
Ülke/Bölge	Turkey
Şehir	Antalya
Periyot	24/09/20 → 26/09/20

Bibliyografik not

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

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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. editör / 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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title = "Warehouse Planning for Maximum Area Efficiency in the White Goods Sector",

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",

isbn = "9783030627836",

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).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Warehouse Planning for Maximum Area Efficiency in the White Goods Sector

AU - Berkdemir, Gizem

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

SP - 598

EP - 603

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

A2 - Durakbasa, Numan M.

A2 - Gençyılmaz, M. Güneş

PB - Springer Science and Business Media Deutschland GmbH

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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, editörler, 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

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap