A multi-agent data mining system for cartel detection in Brazilian government procurement

Big data analytics in supply chain management: A state-of-the-art literature review

“…BDA has been widely adopted to facilitate the supplier selection process and recent efforts have been made to integrate this activity with order allocation problems and to reduce sourcing costs (Kuo et al, 2015). In terms of sourcing risk management, most studies have only exploited the benefit of BDA in accurately detecting procurement risk based on a sizable supplier database, while models and decision support systems (DSS) that provide proactive prevention actions are still lacking (Ghedini Ralha and Sarmento Silva, 2012;Miroslav et al, 2014).…”

“…For descriptive analytics, association is the most widespread as it has been applied throughout every stage of the SC process, from procurement (Ghedini Ralha and Sarmento Silva, 2012;Jain et al, 2014), manufacturing (Bae and Kim, 2011), warehousing (Chiang et al, 2011(Chiang et al, , 2014Chuang et al, 2014), and logistics/transportation , to demand management (Jin et al, 2016).…”

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

“…It is the method of finding frequent patterns, associations, co-occurrences, or causalities between a complex set of attributes in big data (Ting et al, 2014). Such rules have been well-adapted to support various decision making, for instance, new product development (Bae and Kim, 2011), logistics quality control (Ting et al, 2014), and fraud detection in procurement management (Ghedini Ralha and Sarmento Silva, 2012).…”

Usando análises sociais na identificação de nós relevantes em um cenário multi-redes: Operação Licitante Fantasma, um estudo de caso

“…O uso de heurísticas e agentes inteligentes, associados a técnicas de mineração de dados, foi testado com sucesso em bancos de dados reais de auditoria como uma ferramenta contra conluios em licitações públicas [Cunha, Rodrigues, and Bugarin 2014; C. V. S. Silva and Ralha 2010]. Encontra-se uma abordagem semelhante no desenvolvimento de uma ferramenta de mineração de agentes (AGMI) que, usando dados reais da Controladoria Geral da União (CGU), propõe ser uma ferramenta de previsão de detecção e prevenção de corrupção na identificação de formação de cartel, alcançando 90% de precisão [Ghedini Ralha and Sarmento Silva 2012].…”