Planning, Scheduling and Decision-Making in AI

Decision making is a critical process for industries of choosing between different scenarios. This process involves the identification of all the dimensions in the scope problem, the gathering of relevant information, and assessing alternative solutions which are rapidly growing in terms of complexity. This growth is being empowered by digitalization and globalization.

Artificial Intelligence (AI) has been successfully reshaping the decision making process by applying machine learning, optimization methods, knowledge-based systems, and computer vision to a wide range of industrial problems.

Despite this success, a lot is still in need to be done and numerous AI-related challenges remain to be solved in this domain in industries powered by Artificial Intelligence.

The aim of this Thematic Track is to collect the most recent and important research in artificial intelligence approach to solve problem in the scope of decision making processes. In particular, papers that describe experiences and solutions to decision making problems both from the theoretical point of view as well as from practical using AI, are welcome.

 

TOPICS OF INTEREST

  • Artificial Intelligence for industrial planning and scheduling problems
  • Artificial Intelligence for retail
  • Heuristics and meta-heuristics optimization techniques
  • Optimization methods in industrial supply chain management
  • Graph Learning for decision making
  • Disruption Management for decision making
  • Reinforcement learning for decision making processes
  • Mathematical modeling in industry
  • Scheduling methodologies in industry
  • Planning methodologies in industry
  • Multi-criteria optimization methods and their applications in the industry
  • Applications of uncertain optimization methods in industry
  • Cloud and distributed computing in industry
  • Simulation methods in industrial decision making processes
  • Automated batch processing planning and scheduling
  • Knowledge-based systems in industry.

 

ORGANIZATION COMMITTEE

  • Adriano Lino, Universidade Federal do Oeste do Pará, Brazil
  • Luís Paulo Reis, Universidade do Porto / LIACC, Portugal
  • Jorge Barbosa, Universidade do Porto / LIACC, Portugal
  • Alexandra Oliveira, Retail Consult, Portugal
  • Vítor Rodrigues, Retail Consult, Portugal
 

Program COMMITEEE

  • Adriano Lino, Federal University of Western of Pará, Brazil
  • Alexandra Oliveira, Retail Consult, Portugal
  • António Pereira, University of Aveiro, Portugal
  • Brígida Mónica Faria, Polytechnic Institute of Porto, Portugal
  • Filipe Alvelos, University of Minho, Portugal
  • Guilherme Conde, Federal University of Western of Pará, Brazil
  • José Machado, University of Minho, Portugal
  • Jorge Barbosa, University of Porto, Portugal
  • Luís Macedo, University of Coimbra, Portugal
  • Luís Paulo Reis, University of Porto, Portugal
  • Paulo Novais, University of Minho, Portugal
  • Paulo Leitão, Polytechnic Institute of Bragança, Portugal
  • Viviane Torres da Silva, IBM Research Brazil, Brazil