Supply Chain Analytics

Yakup Turgut; Kenan Menguc; Nursah Alkan; Yildiz Kose; Seval Ata; Sule Itir Satoglu; Ozgur Kabak

doi:10.1007/978-3-030-93823-9_11

Supply Chain Analytics

Yakup Turgut, Kenan Menguc, Nursah Alkan, Yildiz Kose, Seval Ata, Sule Itir Satoglu^*, Ozgur Kabak

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Bölüm › bilirkişi

Özet

Supply chain management (SCM) is the process of managing the people, resources, activities, and technology involved in manufacturing and delivering a product or service in order to reduce costs and avoid shortages. Supply chain analytics is the term that refers to the analytical decision-making processes using huge amount of data generated through the supply chain. Analytics in the supply chain is a critical component of SCM. Descriptive, predictive, and prescriptive analytics should be combined to optimize supply chain planning processes.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Springer Series in Advanced Manufacturing
Yayınlayan	Springer Nature
Sayfalar	289-334
Sayfa sayısı	46
DOI'lar	https://doi.org/10.1007/978-3-030-93823-9_11
Yayın durumu	Yayınlandı - 2022

Yayın serisi

Adı	Springer Series in Advanced Manufacturing
ISSN (Basılı)	1860-5168
ISSN (Elektronik)	2196-1735

Bibliyografik not

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

Belgeye Erişim

10.1007/978-3-030-93823-9_11

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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author = "Yakup Turgut and Kenan Menguc and Nursah Alkan and Yildiz Kose and Seval Ata and Satoglu, {Sule Itir} and Ozgur Kabak",

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year = "2022",

doi = "10.1007/978-3-030-93823-9_11",

language = "English",

series = "Springer Series in Advanced Manufacturing",

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TY - CHAP

T1 - Supply Chain Analytics

AU - Turgut, Yakup

AU - Menguc, Kenan

AU - Alkan, Nursah

AU - Kose, Yildiz

AU - Ata, Seval

AU - Satoglu, Sule Itir

AU - Kabak, Ozgur

PY - 2022

Y1 - 2022

N2 - Supply chain management (SCM) is the process of managing the people, resources, activities, and technology involved in manufacturing and delivering a product or service in order to reduce costs and avoid shortages. Supply chain analytics is the term that refers to the analytical decision-making processes using huge amount of data generated through the supply chain. Analytics in the supply chain is a critical component of SCM. Descriptive, predictive, and prescriptive analytics should be combined to optimize supply chain planning processes.

AB - Supply chain management (SCM) is the process of managing the people, resources, activities, and technology involved in manufacturing and delivering a product or service in order to reduce costs and avoid shortages. Supply chain analytics is the term that refers to the analytical decision-making processes using huge amount of data generated through the supply chain. Analytics in the supply chain is a critical component of SCM. Descriptive, predictive, and prescriptive analytics should be combined to optimize supply chain planning processes.

UR - http://www.scopus.com/inward/record.url?scp=85151541223&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-93823-9_11

DO - 10.1007/978-3-030-93823-9_11

M3 - Chapter

AN - SCOPUS:85151541223

T3 - Springer Series in Advanced Manufacturing

SP - 289

EP - 334

BT - Springer Series in Advanced Manufacturing

PB - Springer Nature

ER -

Supply Chain Analytics

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap