Fraud Detection in Supply Chain with Machine Learning

Mahdi Seify; Mehran Sepehri; Amin Hosseinian-far; Aryana Darvish

doi:10.1016/j.ifacol.2022.09.427

Fraud Detection in Supply Chain with Machine Learning

Mahdi Seify, Mehran Sepehri, Amin Hosseinian-far, Aryana Darvish

Hertfordshire Business School

Research output: Contribution to journal › Article › peer-review

41 Downloads (Pure)

Abstract

A variety of fraud in Supply Chains may be detected either in physical parts or in cyber data. We use supervised machine learning to detect various fraud and misinformation in supply chains. The study is based on a car manufacturer concerned with increasing fraud, ranging from fraudulent invoices to inflated prices. Big data is provided for pattern recognition. A macro-level code is presented with actual algorithms developed in Python. The research is continuing, while the current work is presented with promising results.

Original language	English
Pages (from-to)	406-411
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	55
Issue number	10
DOIs	https://doi.org/10.1016/j.ifacol.2022.09.427
Publication status	Published - 26 Oct 2022

Keywords

Machine Learning
Supply Chain
Fraud
Detection
pattern recognition

Access to Document

10.1016/j.ifacol.2022.09.427Licence: CC BY-NC-ND

Final_Version
© 2022 The Authors. This is an open access article under the CC BY-NC-ND license Keywords: Machine Learning, Supply Chain, Fraud, Detection, Pattern Recognition. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Final published version, 540 KBLicence: CC BY-NC-ND

https://hub.imt-atlantique.fr/mim2022/

Cite this

@article{d8ceb03a241a4535ba5daf69d38a9612,

title = "Fraud Detection in Supply Chain with Machine Learning",

abstract = "A variety of fraud in Supply Chains may be detected either in physical parts or in cyber data. We use supervised machine learning to detect various fraud and misinformation in supply chains. The study is based on a car manufacturer concerned with increasing fraud, ranging from fraudulent invoices to inflated prices. Big data is provided for pattern recognition. A macro-level code is presented with actual algorithms developed in Python. The research is continuing, while the current work is presented with promising results.",

keywords = "Machine Learning, Supply Chain, Fraud, Detection, pattern recognition",

author = "Mahdi Seify and Mehran Sepehri and Amin Hosseinian-far and Aryana Darvish",

note = " {\textcopyright} 2022 The Authors. This is an open access article under the CC BY-NC-ND license Keywords: Machine Learning, Supply Chain, Fraud, Detection, Pattern Recognition. (https://creativecommons.org/licenses/by-nc-nd/4.0/)",

year = "2022",

month = oct,

day = "26",

doi = "10.1016/j.ifacol.2022.09.427",

language = "English",

volume = "55",

pages = "406--411",

journal = "IFAC-PapersOnLine",

issn = "2405-8971",

publisher = "Elsevier",

number = "10",

}

TY - JOUR

T1 - Fraud Detection in Supply Chain with Machine Learning

AU - Seify, Mahdi

AU - Sepehri, Mehran

AU - Hosseinian-far, Amin

AU - Darvish, Aryana

N1 - © 2022 The Authors. This is an open access article under the CC BY-NC-ND license Keywords: Machine Learning, Supply Chain, Fraud, Detection, Pattern Recognition. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

PY - 2022/10/26

Y1 - 2022/10/26

N2 - A variety of fraud in Supply Chains may be detected either in physical parts or in cyber data. We use supervised machine learning to detect various fraud and misinformation in supply chains. The study is based on a car manufacturer concerned with increasing fraud, ranging from fraudulent invoices to inflated prices. Big data is provided for pattern recognition. A macro-level code is presented with actual algorithms developed in Python. The research is continuing, while the current work is presented with promising results.

AB - A variety of fraud in Supply Chains may be detected either in physical parts or in cyber data. We use supervised machine learning to detect various fraud and misinformation in supply chains. The study is based on a car manufacturer concerned with increasing fraud, ranging from fraudulent invoices to inflated prices. Big data is provided for pattern recognition. A macro-level code is presented with actual algorithms developed in Python. The research is continuing, while the current work is presented with promising results.

KW - Machine Learning

KW - Supply Chain

KW - Fraud

KW - Detection

KW - pattern recognition

U2 - 10.1016/j.ifacol.2022.09.427

DO - 10.1016/j.ifacol.2022.09.427

M3 - Article

SN - 2405-8971

VL - 55

SP - 406

EP - 411

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 10

ER -

Fraud Detection in Supply Chain with Machine Learning

Abstract

Keywords

Access to Document

Fingerprint

Cite this