Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Facts & Numbers
000
Presentation

Industrial Engineering and Management

The centre is an international reference in business analytics through decision support systems for service and operations management, contributing also in service design, performance assessment and asset management.

Our core areas of application include Mobility/Transports, Retail/Industry and Healthcare, also with significant contributions in the Energy Sector and a strengthened collaboration with the Centre for Power and Energy Systems.

In the latest years, CEGI substantially contribute to Industry 4.0 initiatives (improving scheduling rules based on the additional information available in manufacturing systems).

Latest News
Systems Engineering and Management

TestBed 5G: INESC TEC in half of the pilots that aim to boost the manufacturing industry

INESC TEC’s Industry and Innovation Laboratory (iiLab) has already received six of the 12 planned pilots. The demonstrations aim to provide industrial solutions with different operating and coordination features.  

29th October 2024

Systems Engineering and Management

Sorting, organising, palletising: INESC TEC technology paving the way to an optimised supply chain

The Institute contributed to a solution that reduces manual efforts and ensures a more flexible supply chain. This involvement was “fundamental”, stemming from the ongoing progress of the PRODUTECH R3 mobilising agenda.  

29th October 2024

Drones, automation and sensing: here are INESC TEC’s solutions to the challenges of the wine sector

INESC TEC researchers led discussions on innovative solutions for vineyards at an event that brought together companies, universities and players in the sector.  

24th October 2024

Systems Engineering and Management

INESC TEC researcher warns companies about the quality of data generated through AI in a paper published by MIT management journal

Could the increasing interest in language models, like ChatGPT, be diverting resources away from companies to adopt advanced analytics practices that truly support smart decisions? Pedro Amorim, INESC TEC researcher, and João Alves (from INESC TEC LTPLabs spin-off) believe so. In a paper published in MIT Sloan Management Review, they warn about the quality and unpredictability of data generated solely from generative language models - despite advocating for more investment in Artificial Intelligence (AI) that incorporates these models with advanced analysis (with concrete reasons provided).

25th June 2024

This technology aims to make cities more accessible for everyone - and earned a recognition for an INESC TEC researcher

INESC TEC researcher Marta Campos Ferreira participated in the development of a prototype that seeks to improve the experiences of people with reduced mobility in cities – and make them more inclusive. The new solution featured at an international conference, and the researcher's work was acknowledged. Now, the goal is for the solution to reach everyone through an application.

17th May 2024

101

Featured Projects

AI_EFFECT

Artificial Intelligence Experimentation Facility For the Energy seCTor

2024-2027

RECreation

RECreation: platform for the management of energy communities

2024-2027

DECODIT

Digitally empowering citizens to deliver the twin transition

2024-2027

PEER

THE HYPER EXPERT COLLABORATIVE AI ASSISTANT

2023-2027

TIIM_TS

Transportes Integrados Inter-Municipais no Tâmega e Sousa

2023-2023

PFAI4_4eD

Programa de Formação Avançada Industria 4 - 4a edição

2023-2023

CIBELE

Sustainability in Cutting and Packing Problems: multi-objective optimization of raw material utilization

2023-2025

TacitRouting

Tacit knowledge in route planning

2023-2025

eduBEST

Education Systems Benchmarking with Frontier Techniques

2023-2026

InsectERA

A ERA da indústria dos insetos

2023-2025

MOSH

Modelling shared mobility: advanced demand modelling and learning for the sustainable shared mobility of the future

2023-2024

SMARTgNOSTICS

Global Testing & Diagnostics Solutions for antimicrobial resistances

2023-2025

AgendaTransform

Agenda para a transformação digital do setor florestal para uma economia resiliente e hipocarbónica

2022-2025

Produtech_R3

Agenda Mobilizadora da Fileira das Tecnologias de Produção para a Reindustrialização

2022-2025

PFAI4_3ed

Programa de Formação Avançada Industria 4 - 3a edição

2022-2022

FORM_I40

Formação Indústria 4.0

2022-2022

BestOrder3

Gestão de inventário de farmácias comunitárias

2022-2023

BeFresh

On incorporating consumer behaviour into the supply chain planning of fresh products

2022-2025

DRIVEN

Decision Rules made Interpretable, Verifiable and Effective for governing Farfetch Network

2021-2022

FIRE_RES

Innovative Technologies and Socio-Ecological-Economic Solutions for FIRE RESilient Territories in Europe

2021-2025

SolIM62010

Intelligent marketing solutions

2021-2022

BEST_ORDER_II

Gestão de inventário nas farmácias portuguesas - Fase II

2021-2022

EUSCORES

EUropean - Scalable and Complementary Offshore Renewable Energy Sources

2021-2025

AI4PV

Artificial Intelligence for Operation and Maintenance of PV Plants

2021-2023

DIGITALCER

Digital Energy Platform for Energy Communities

2021-2023

SmartPV

Desenvolvimento de plataforma de gestão de ativos PV através de prevenção inteligente de falhas

2021-2023

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

TRUSTAI

Transparent, Reliable and Unbiased Smart Tool for AI

2020-2025

BestOrder

Gestão de inventário nas farmácias portuguesas

2020-2021

FPP2

Fleet Planning and Pricing

2020-2020

Replant

Implantação de estratégias colaborativas para a gestão integrada da floresta e do fogo

2020-2023

PLASMA 4 COVID

Agilização da colheita de plasma convalescente

2020-2021

FPP

Fleet Planning and Pricing

2020-2020

WINDEXT

Advanced maintenance, lifetime extension and repowering of wind farms supported by advanced digital tools

2020-2022

MINE4HEALTH

Text mining e clinical decision-making

2020-2021

CrossLOG

AUTOMATIC MIXED-PALLETIZING FOR CROSS-DOCKING LOGISTICS CENTERS

2019-2023

POCITYF

A POsitive Energy CITY Transformation Framework

2019-2026

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

XFLEX_HIDRO

Hydropower Extending Power System Flexibility

2019-2024

ENCKEP

European Network for Collaboration on Kidney Exchange Programmes

2019-2021

OCP_STOCK

Gestão de inventário nas farmácias portuguesas

2019-2020

ValProduct

Estudo sobre o impacto das validades dos produtos nos contratos

2019-2019

PortoAmbiente

ESTUDO SOBRE A RECOLHA SELETIVA DE RESÍDUOS URBANOS COMERCIAIS

2019-2020

RM20

Car Rental Revenue Management 2.0

2019-2020

OpenInnoTrain

Research Translation and Applied Knowledge Exchange in Practice through University-Industry-Cooperation

2019-2024

FIN-TECH

A FINancial supervision and TECHnology compliance training programme

2019-2021

VAR

Avaliação de risco das válvulas de rede primária : vida útil restante e condições de operação

2019-2019

DoubleChain

Supporting ubiquitous and fully decentralized supply chain operations through blockchain technology

2018-2020

opti-MOVES

Quality management of intermodal public transport services: diagnosis and optimization

2018-2022

LASTMILE

Rethinking last-mile delivery through crowdsourcing

2018-2022

SiuSMS

Smart (inter)urban shared mobility systems: integrating pricing and fleet management for a sustainable mobility planning future

2018-2022

DeltaC&P

Uncertainty in cutting and packing problems: robust planning and optimized replanning in manufacturing and transportation

2018-2022

KnowlogisII

Ferramenta de apoio à logística de farmácias hospitalares

2018-2020

ASAP

Airport slot allocation processes: advances in current guidelines and practices

2018-2022

BEEF

Estudo da gestão de produção, inventário e compras através de métodos analíticos

2018-2019

Tec-FEL

Logistics 4.0: Technologies for flexible and eco-efficient logistics

2018-2021

HIP

Heath Index for Power Transformers

2018-2018

MANU-SQUARE

MANUfacturing ecoSystem of QUAlified Resources Exchange

2018-2021

HEAD

Heath index for assets of the distribuition network

2018-2022

WinePallet

Otimização do sistema de paletização

2017-2017

UPGASII

Gestão de ativos na rede de distribuição de gás (Fase II)

2017-2018

ANPCARE

Os cuidados de enfermagem especializados como resposta à evolução das necessidades em cuidados de saúde

2017-2017

KnowLOGIS

KnowLOGIS - Expertise in Healthcare Logistics

2017-2019

PricingSdL

Sistema de Apoio à Decisão para a definição de preços

2017-2017

InteGrid

Demonstration of INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders

2017-2020

Path

Políticas de manutenção preditiva apoiadas na fiabilidade de transformadores

2017-2017

SIMOPT

Simulação e Optimização na Distribuição Alimentar

2017-2017

DM4Manufacturing

Aligning Manufacturing Decision Making with Advanced Manufacturing Technologies

2016-2021

Atena

Saber para intervir: observatório para a educação

2016-2019

EasyFlow

Collaborative and efficient logistics towards more sustainable forest suplly chain

2016-2019

HHRPLAN

Foresight and decision support tools for improved healthcare workforce planning and policy analysis

2016-2018

mKEP

mKEP - Models and optimisation algorithms for multicountry kidney exchange programs

2016-2019

CORAL-TOOLS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

LTP

Consultoria em data minning e otimização em diferentes problemas abordados pela LTP

2016-2017

UpGas

Gestão de ativos na rede de distribuição de gás

2015-2016

iMAN

iMAN - Intelligence for advanced Manufacturing systems

2015-2019

SMILES

SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

HIDRO

Desenvolvimento de um modelo integrado de engenharia de fiabilidade

2015-2016

RosaEvolution

Melhoria de eficiência do Sistema Rosa Evolution com o objetivo de reduzir as não conformidades provocadas pelo TCA

2015-2016

BestWare

Dimensionamento de armazéns integrados em lojas de retalho alimentar

2015-2017

ShortPath

Análise de processos de distribuição com vista à formulação de propostas de melhoria ao processo de distribuição atual

2015-2016

Rent-a-Car-Pricing

Conceção e implementação de um Sistema de Apoio às Decisões de Pricing

2015-2015

UPGRID

Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid

2015-2017

ReliabilityEng2

Reliability Engineering for Wind Turbine Generators - Phase II

2014-2015

Supply_Chain

Melhoramento do desempenho da cadeia de fornecimento e na organização de recursos

2014-2016

ShortCut

Organização e localização dos produtos nas prateleiras e no mezanino do armazém principal

2014-2015

StorePacks

Definição de produtos StorePack, dos armazéns até às lojas

2014-2015

SuperStore

Replenishment System for on-line SuperStore

2014-2014

Mailing

Mailing optimisation: Quantitative Methods for Coupon Allocation

2014-2014

PromoStock

Retail Promotional Replenishment and Forecasting

2014-2014

WholeChain

Whole Chain: Quantitative Framework for Perishable Food Supply Chain Management

2014-2015

ReliabilityEng

Reliability Engineering for Wind Turbine Generators

2014-2014

PSS-DESIGN

Estudo e desenvolvimento de metodologias para sistemas e produtos e serviços no âmbito do projeto INTELLAB II

2014-2015

MEDSC

Supply chain of a pharmaceutical grocery

2014-2014

PTGlass

Tactical integrated production and distribution planning at glass container industry

2013-2014

SmartManufacturing

Smart Manufacturing and Logistics

2013-2015

SAGRH

Advanced System for Medical Human Resources Management

2012-2014

GESTAO_FLUXOS

Long-haul freight distribution optimisation

2012-2014

StableCargo

Cargo stability analysis in container transportation: a hybrid optimisation - heuristics framework

2012-2015

SADRH

Staff allocation and scheduling optimisation algorithms

2012-2014

KEP

New models to enhance kidney transplants

2011-2014

Team
Publications

CEGI Publications

View all Publications

2025

Local stability in kidney exchange programs

Authors
Baratto, M; Crama, Y; Pedroso, JP; Viana, A;

Publication
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Abstract
When each patient of a kidney exchange program has a preference ranking over its set of compatible donors, questions naturally arise surrounding the stability of the proposed exchanges. We extend recent work on stable exchanges by introducing and underlining the relevance of a new concept of locally stable, or L-stable, exchanges. We show that locally stable exchanges in a compatibility digraph are exactly the so-called local kernels (L-kernels) of an associated blocking digraph (whereas the stable exchanges are the kernels of the blocking digraph), and we prove that finding a nonempty L-kernel in an arbitrary digraph is NP-complete. Based on these insights, we propose several integer programming formulations for computing an L-stable exchange of maximum size. We conduct numerical experiments to assess the quality of our formulations and to compare the size of maximum L-stable exchanges with the size of maximum stable exchanges. It turns out that nonempty L-stable exchanges frequently exist in digraphs which do not have any stable exchange. All the above results and observations carry over when the concept of (locally) stable exchanges is extended to the concept of (locally) strongly stable exchanges.

2025

Predicting demand for new products in fashion retailing using censored data

Authors
Sousa, MS; Loureiro, ALD; Miguéis, VL;

Publication
EXPERT SYSTEMS WITH APPLICATIONS

Abstract
In today's highly competitive fashion retail market, it is crucial to have accurate demand forecasting systems, namely for new products. Many experts have used machine learning techniques to forecast product sales. However, sales that do not happen due to lack of product availability are often ignored, resulting in censored demand and service levels that are lower than expected. Motivated by the relevance of this issue, we developed a two-stage approach to forecast the demand for new products in the fashion retail industry. In the first stage, we compared four methods of transforming historical sales into historical demand for products already commercialized. Three methods used sales-weighted averages to estimate demand on the days with stock-outs, while the fourth method employed an Expectation-Maximization (EM) algorithm to account for potential substitute products affected by stock-outs of preferred products. We then evaluated the performance of these methods and selected the most accurate one for calculating the primary demand for these historical products. In the second stage, we predicted the demand for the products of the following collection using Random Forest, Deep Neural Networks, and Support Vector Regression algorithms. In addition, we applied a model that consisted of weighting the demands previously calculated for the products of past collections that were most similar to the new products. We validated the proposed methodology using a European fashion retailer case study. The results revealed that the method using the Expectation-Maximization algorithm had the highest potential, followed by the Random Forest algorithm. We believe that this approach will lead to more assertive and better-aligned decisions in production management.

2025

Emerging technologies for supporting patients during Hemodialysis: A scoping review

Authors
Martins, AR; Ferreira, MC; Fernandes, CS;

Publication
International Journal of Medical Informatics

Abstract

2025

Emerging technologies for supporting patients during Hemodialysis: A scoping review

Authors
Martins, AR; Ferreira, MC; Fernandes, CS;

Publication
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Abstract
Purpose:To synthesizethe availableevidenceaboutthe use of HealthInformationTechnology(HIT)to supportpatientsduringhemodialysis.Methods:TheJoannaBriggsInstitute's methodologicalguidelinesfor scopingreviewsandthe PRISMA-ScRchecklistwereemployed.BibliographicsearchesacrossMEDLINE (R), CINAHL (R), PsychologyandBehavioralSciencesCollection,Scopus,MedicLatina,and Cochraneyielded932 records.Results:Eighteenstudiespublishedbetween2003and2023wereincluded.Theyexploreda rangeof HITs,includingvirtualreality,exergames,websites,and mobileapplications,all specificallydevelopedfor use duringthe intradialyticperiod.Conclusion:Thisstudyhighlightsthe HITsdevelopedfor use duringhemodialysistreatment,supportingphysicalexercise,diseasemanagement,and enhancementof self-efficacyand self-care.

2025

A GRASP-based multi-objective approach for the tuna purse seine fishing fleet routing problem

Authors
Granado, I; Silva, E; Carravilla, MA; Oliveira, JF; Hernando, L; Fernandes-Salvador, JA;

Publication
COMPUTERS & OPERATIONS RESEARCH

Abstract
Nowadays, the world's fishing fleet uses 20% more fuel to catch the same amount offish compared to 30 years ago. Addressing this negative environmental and economic performance is crucial due to stricter emission regulations, rising fuel costs, and predicted declines in fish biomass and body sizes due to climate change. Investment in more efficient engines, larger ships and better fuel has been the main response, but this is only feasible in the long term at high infrastructure cost. An alternative is to optimize operations such as the routing of a fleet, which is an extremely complex problem due to its dynamic (time-dependent) moving target characteristics. To date, no other scientific work has approached this problem in its full complexity, i.e., as a dynamic vehicle routing problem with multiple time windows and moving targets. In this paper, two bi-objective mixed linear integer programming (MIP) models are presented, one for the static variant and another for the time-dependent variant. The bi-objective approaches allow to trade off the economic (e.g., probability of high catches) and environmental (e.g., fuel consumption) objectives. To overcome the limitations of exact solutions of the MIP models, a greedy randomized adaptive search procedure for the multi-objective problem (MO-GRASP) is proposed. The computational experiments demonstrate the good performance of the MO-GRASP algorithm with clearly different results when the importance of each objective is varied. In addition, computational experiments conducted on historical data prove the feasibility of applying the MO-GRASP algorithm in a real context and explore the benefits of joint planning (collaborative approach) compared to a non-collaborative strategy. Collaborative approaches enable the definition of better routes that may select slightly worse fishing and planting areas (2.9%), but in exchange fora significant reduction in fuel consumption (17.3%) and time at sea (10.1%) compared to non-collaborative strategies. The final experiment examines the importance of the collaborative approach when the number of available drifting fishing aggregation devices (dFADs) per vessel is reduced.

Facts & Figures

19Senior Researchers

2016

9Proceedings in indexed conferences

2020

2Book Chapters

2020