The IO2022 - XXII Congress of the Portuguese Association for Operational Research was held at the University of Évora from 6 to 8 November 2022, jointly organized by the Center for Studies and Advanced Training in Management and Economics (CEFAGE) and the Research Center in Mathematics and Applications (CIMA), in collaboration with the direction of APDIO. This year's challenge was to have works that reflect the role of OI in solving problems of organizations and society, especially those faced in times of turbulence and crisis and where the solutions incorporate the characteristics of adaptation and resilience.

DEG' Full Professor and CEGIST's President, Professor José Rui Figueira, was a Keynote Speaker, presenting A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal, a work developed by IST researchers and the Portuguese Medical Board.

DEG's participation was once again high, with more than 15 works submitted and 6 of them presented in the Round Tables of the Scientific Program:

Miguel Vieira (Engineering and Management PhD) - Supply chain design and planning using discrete-event simulation: The biomass supply chain case study

Yannik Zeitrag (PhD student in Engineering and Management) - Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming

Mariana Mesquita da Cunha (PhD student in Engineering and Management) - A procedure for preference incorporation in multi-objective linear programming problems

João Pires Ribeiro (PhD student in Engineering and Management) - A stochastic multi-objective mixed-integer linear model for optimising operational and tactical decisions towards supply chain

Miguel Alves Pereira (DEG's guest assistant professor and Engineering and Management PhD) - How did the performance of the USA states pre-vaccination pandemic response evolve?

Mariana Oliveira  (PhD student in Engineering and Management) - Using multi-objective optimization to inform elective patient transferring among hospitals