KnE Social Sciences

Published date: Feb 15 2018

Journal Title: KnE Social Sciences

Issue title: III Network AML/CFT Institute International Scientific and Research Conference "FinTech and RegTech"

Pages: 467-476

DOI: 10.18502/kss.v3i2.1578

Domashova D.V.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe shosse 31, Moscow, 115409

Lenchinskaja K.O.lenkseniya@yandex.ruNational Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe shosse 31, Moscow, 115409

Pisarchik E.E.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe shosse 31, Moscow, 115409

The paper discusses the problems that customers may encounter while conducting public procurement, namely, possible prior collusion between bidders aimed at winning the contract at the highest possible price.

The objective of the study is to develop a technology for automated detection of sustainable groups of pipe suppliers in public procurements, and also to develop an algorithm that would allow to identify possible collusion between future procurement participants.

Presumed indicators of collusion between suppliers are formulated, a technology for identifying a sustainable supplier group is described, an algorithm to assess the possibility of affiliated suppliers participating in the current tender is developed.

Keywords: public procurement, collusion of suppliers

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