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

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

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

Abstract

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.

Original language	English
Title of host publication	Springer Series in Advanced Manufacturing
Publisher	Springer Nature
Pages	289-334
Number of pages	46
DOIs	https://doi.org/10.1007/978-3-030-93823-9_11
Publication status	Published - 2022

Publication series

Name	Springer Series in Advanced Manufacturing
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Bibliographical note

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

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

Cite this

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AU - Turgut, Yakup

AU - Menguc, Kenan

AU - Alkan, Nursah

AU - Kose, Yildiz

AU - Ata, Seval

AU - Satoglu, Sule Itir

AU - Kabak, Ozgur

PY - 2022

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Supply Chain Analytics

Abstract

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