DECISING – DECISion science and management engineerING | CEGIST

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 CEG-IST 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 CEG-IST and international collaboration.

Group Leader

Mónica Duarte Oliveira

Integrated member

Full Professor

Selected Publications

A new approach to the bi-dimensional representation of the DEA efficient frontier with multiple inputs and outputs

European Journal of Operational Research | 2016

Carlos Costa

João Mello

Lidia Meza

A Socio-technical Approach for Group Decision Support in Public Strategic Planning: The Pernambuco PPA Case

Group Decision and Negotiation | 2014

C.A. Bana e Costa

J.C. Lourenço

M.D. Oliveira

J.C. Bana e Costa

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

Energy Policy | 2019

A. Quintino

Margarida Catalão-Lopes

J.C. Lourenço

Designing and exploring risk matrices with MACBETH

International Journal of Information Technology and Decision Making | 2018

M.D. Oliveira

C.A. Bana E Costa

D.F. Lopes

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

Omega | 2020

Ana Vieira

Mónica Oliveira

Carlos Costa