Decising

DECISING – DECISion science and management engineerING

About

Driven by real world challenges on the frontiers of engineering and management, and grounded on the principles of decision-making and decision-aiding theory, the Decision Science and Management Engineering (DECISING) branch of CEGIST is a multimethodological area that develops methods, models, decision-support tools and knowledge to assist engineering management practice in complex contexts that involve diverse stakeholders, multiple objectives and several sources of uncertainty. At DECISING we follow a collaborative-learning constructivist paradigm integrating socio-technical processes to design sustainable solutions to problems of performance appraisal and value measurement, evaluation and prioritization, resource allocation and budgeting, risk analysis, project management, policy design and strategic choice. Our mission is driven by industry innovation, multidisciplinary research and spin-off partnerships, and is currently focused on (although not limited to) health, energy, and environmental settings, always exploring cross-fertilization with the other areas of CEGIST and international collaboration.

Group Leader

Selected Publications

Quality assessment of the Portuguese public hospitals: A multiple criteria approach

Omega | 2021

António Rocha

Diogo Ferreira

Rui Marques

Enhancing knowledge construction processes within multicriteria decision analysis: The Collaborative Value Modelling framework

Omega | 2020

Mónica Oliveira

Scenarios for population health inequalities in 2030 in Europe: the EURO-HEALTHY project experience

International Journal for Equity in Health | 2019

C.A. Bana E Costa

C. Borrell

P.L. Ferreira

Â. Freitas

T.C. Rodrigues

P. Santana

M. Lopes Santos

Can switching from gasoline to aromatics mitigate the price risk of refineries?

Energy Policy | 2019

Modelling Multicriteria Value Interactions with Reasoning Maps

European Journal of Operational Research | 2016

Gilberto Montibeller

Mónica Oliveira