BIG DATA APPLIED TO CYBER-PHYSICAL LOGISTIC SYSTEMS: CONCEPTUAL MODEL AND PERSPECTIVES

  • Enzo Morosini Frazzon UFSC
  • Moisés Lima Dutra Information Science Department, Federal University of Santa Catarina, Florianópolis, SC
  • William Barbosa Vianna Information Science Department, Federal University of Santa Catarina, Florianópolis, SC,
DOI: https://doi.org/10.14488/BJOPM.2015.v12.n2.a12
Keywords: cyber-physical systems, logistics, big data, business analytics, supply chains

Abstract

The management of supply chains and their subsystems embodies strategic and contemporaneous challenges. The competitiveness of supply chains depends increasingly on their flexibility. Logistics as a supply chain function has to compensate increasing requirements regarding flexibility by means of a higher information density and the employment of innovative techniques for data acquisition and analytics. Indeed, the flow of information that commands the physical flow embodies a critical issue for the management of supply chains. Hence, by means of a theoretical and conceptual approach, this paper aims to propose to research management perspectives and propose a model for the application of innovative techniques for data acquisition and analytics in Cyber-Physical Logistic Systems.

Author Biographies

Moisés Lima Dutra, Information Science Department, Federal University of Santa Catarina, Florianópolis, SC
Professor Adjunto da Universidade Federal de Santa Catarina, Departamento de Ciência da Informação. Doutor em Computação pela Universidade de Lyon 1, França (2009). Mestre em Engenharia Elétrica, subárea Automação e Sistemas (2005) e Bacharel em Computação (1998) pela Universidade Federal de Santa Catarina. Suas atuais linhas de pesquisa são Internet das Coisas, Big Data, Web Semântica, Ontologias, Linked Data e Ferramentas Colaborativas. Está vinculado ao grupo de pesquisa ITI-RG (Inteligência, Tecnologia e Informação - Research Group).
William Barbosa Vianna, Information Science Department, Federal University of Santa Catarina, Florianópolis, SC,
Professor Adjunto II da Universidade Federal de Santa Catarina. Atualmente é Chefe do Dpto. de Ciência da Informação - CIN (2013-2015). Área do conhecimento: Gestão da Informação. Doutor em Engenharia de Produção (2011). Mestre em Administração (USF, 2004). Mestre em Engenharia de Produção (UFSC, 2008). Graduado em Ciências Humanas - Licenciatura em Filosofia (UCDB-1989). Áreas de interesse: Gestão Estratégica da Informação; Gestão da Qualidade; Avaliação de Desempenho; Big Data e Teoria da Decisão; Tecnologia Assistiva; Epistemologia; Informação em Saúde e Educação; Tópicos interdisciplinares em Ciência da Informação. Coordena dois projetos de pesquisa financiados pelo CNPq, Editais Universal 2014 e Ciências Sociais Aplicadas 2015 sobre Tecnologia Assistiva.
Published
2015-12-28
How to Cite
Frazzon, E., Dutra, M., & Vianna, W. (2015). BIG DATA APPLIED TO CYBER-PHYSICAL LOGISTIC SYSTEMS: CONCEPTUAL MODEL AND PERSPECTIVES. Brazilian Journal of Operations & Production Management, 12(2), 330-337. https://doi.org/https://doi.org/10.14488/BJOPM.2015.v12.n2.a12
Issue
Vol 12 No 2 (2015): December/2015
Section
Articles

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