SPOLM 2019 (English)

The Navy Operational Research and Logistics Symposium (SPOLM) is an integrator event of the Academy, Armed Forces and Industry and fosters the research and application of Operational Research and Logistics, besides related areas in the scope of Industrial Engineering, Computer Engineering, Business Administration and Economics.

All SPOLM editions had an audience with high schooling and, as an inclusive event, promoted an interaction among professors, researchers, undergraduates, graduate students and entrepreneurs from all Brazilian regions. The SPOLM 2019 is going to take place on 06th, 07th and 08th November, 2019, as an annual activity of the Naval Systems Analysis Center (CASNAV).

The Symposium Theme is going to be "The Operational Research as a Governance Tool in Strategic Projects". The SPOLM 2019 scheduling includes the following events: a Plenary Session, Lectures, Workshops, Round Tables, Mini-courses and Thematic Sessions with the presentation of papers approved by Doctor Professors as a Reviewers Committee from the most important Brazilian universities.

Although the main approach of SPOLM is the operational research and logistics, as a multidisciplinary Symposium it addresses other correlated areas of CT&I. The thematic areas addressed by SPOLM 2019 are:

  • Actuarial Models
  • Combinatorial Optimization
  • Data Science: Big Data, Data Mining and Analytics
  • Demographic Models
  • Entrepreneurship and Innovation
  • Financial management
  • Governance
  • High Performance Computing
  • Industry 4.0
  • Information Security: Cryptography and Cyberwarfare
  • Lean Manufacturing Philosophy
  • Logistics and Transportation
  • Mathematical Programming
  • Metaheuristics
  • Multi-Criteria Decision-Aid
  • OR in Agriculture and Environment
  • OR in Defense and Public Safety
  • OR in Education
  • OR in Industry
  • OR in Public Administration
  • OR in Services
  • OR in Telecommunications and Information Systems
  • OR in the Health Area
  • OR in the Oil and Gas Area
  • OR in the Power Area
  • Other applications in OR
  • Probabilistic Models
  • Production Management
  • Project management
  • Quality management
  • Quantitative Research in Social Sciences
  • Simulation
  • Statistics
  • Theory and Algorithms in Graphs