Supply Chain Analytics

TURGUT, YAKUP; Mengüç, Kenan; Alkan, Nurşah; KÖSE, YILDIZ; Ata, Seval; Satoğlu, Şule; Kabak, Özgür

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

Supply Chain Analytics

TURGUT Y., Mengüç K., Alkan N., KÖSE Y., Ata S., Satoğlu Ş. I., ...Daha Fazla

Springer Series in Advanced Manufacturing, Springer Nature, ss.289-334, 2022

Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
Basım Tarihi: 2022
Doi Numarası: 10.1007/978-3-030-93823-9_11
Yayınevi: Springer Nature
Sayfa Sayıları: ss.289-334
Kırklareli Üniversitesi Adresli: Hayır

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.