Data–Driven Techniques in Logistics & Supply Chain Management: A Literature Review-Reference-Cited by-同舟云学术

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Data–Driven Techniques in Logistics & Supply Chain Management: A Literature Review

Published:2023-02-08 Issue: Volume: Page:
ISSN:
Container-title:2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)
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Author:

Detwal Pankaj Kumar¹,Soni Gunjan²,Kumar Devesh²,Ramtiyal Bharti³

Affiliation:

1. Indian Institute of Technology Roorkee,Department of Management Studies,Roorkee,India

2. Malaviya National Institute of Technology Jaipur,Department of Mechanical Engineering,Jaipur,India

3. Graphic Era (Deemed to be university),Department of Management Studies,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10113898/10113899/10114034.pdf?arnumber=10114034

Reference29 articles.

1. A data-driven and network-aware approach for credit risk prediction in supply chain finance

2. A data-driven approach to adaptive synchronization of demand and supply in omni-channel retail supply chains

3. Modelling and assessing sustainability of a supply chain network leveraging multi Echelon Bayesian Network

4. Supply Chain Fraud Prediction Based On XGBoost Method

5. An assessment of probabilistic disaster in the oil and gas supply chain leveraging Bayesian belief network

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