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Facts & Numbers
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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
Computer Science

Technology that reduces treatment time for cancer patients wins digital innovation award

The Gentil – Text Mining project won the Portugal Digital Awards in the Best Future of Work Project category, which acknowledges the best initiative related to employees' productivity and effectiveness.

06th January 2022

Industrial and Systems Engineering

INESC TEC leads project to prevent food waste

INESC TEC is leading a project that aims to tackle food waste, by improving operational efficiency in the food value chain. The project, called Be Fresh – Integrating Consumer Behavior to Improve Food Value Chains, falls in with three of the Sustainable Development Goals (SDGs), namely ending hunger, promoting sustained, inclusive and sustainable economic growth, and ensuring sustainable consumption and production patterns. INESC TEC's new project will start in January 2022.

15th December 2021

Industrial and Systems Engineering

INESC TEC researchers receive research and teaching awards

Four INESC TEC researchers in the field of industrial management engineering received research and teaching awards by the Portuguese Association of Operational Research (APDIO) and by the School of Engineering of the University of Minho (EEUM), respectively.

23rd November 2021

INESC TEC participates in project to promote forestry

INESC TEC is part of the consortium of the rePLANT project, led by the collaborative laboratory ForestWISE, which aims to create new technologies and services, mostly supported by digital technologies, in the fields of integrated forest and fire management.

26th April 2021

Industrial and Systems Engineering

INESC TEC aims to make Artificial Intelligence more explainable, transparent and reliable

The TRUST-AI project, coordinated by INESC TEC’s Centre for Industrial Engineering and Management (CEGI) seeks to explain AI systems, making them more transparent and reliable.

09th March 2021

Interest Topics
085

Featured Projects

FORM_I40

Formação Indústria 4.0

2022-2022

BeFresh

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

2022-2024

DRIVEN

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

2021-2022

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

TRUSTAI

Transparent, Reliable and Unbiased Smart Tool for AI

2020-2025

BestOrder

Gestão de inventário nas farmácias portuguesas

2020-2021

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

FPP2

Fleet Planning and Pricing

2020-2020

TRF4p0

Digital revolution of power transformers

2020-2023

PLASMA 4 COVID

Agilização da colheita de plasma convalescente

2020-2021

Replant

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

2020-2023

FPP

Fleet Planning and Pricing

2020-2020

MINE4HEALTH

Text mining e clinical decision-making

2020-2021

WINDEXT

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

2020-2022

CrossLOG

AUTOMATIC MIXED-PALLETIZING FOR CROSS-DOCKING LOGISTICS CENTERS

2019-2022

POCITYF

A POsitive Energy CITY Transformation Framework

2019-2024

XFLEX_HIDRO

Hydropower Extending Power System Flexibility

2019-2023

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

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

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

OpenInnoTrain

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

2019-2024

DoubleChain

Supporting ubiquitous and fully decentralized supply chain operations through blockchain technology

2018-2020

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

opti-MOVES

Quality management of intermodal public transport services: diagnosis and optimization

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

2022

Automatic root cause analysis in manufacturing: an overview & conceptualization

Authors
e Oliveira E.; Miguéis V.L.; Borges J.L.;

Publication
Journal of Intelligent Manufacturing

Abstract
Root cause analysis (RCA) is the process through which we find the true cause of a problem. It is a crucial process in manufacturing, as only after finding the root cause and addressing it, it is possible to improve the manufacturing operation. However, this is a very time-consuming process, especially if the amount of data about the manufacturing operation is considerable. With the increase in automation and the advent of Industry 4.0, sensorization of manufacturing environments has expanded, increasing with it the data available. The conjuncture described gives rise to the challenge and the opportunity of automatizing root cause analysis (at least partially), making this process more efficient, using tools from data mining and machine learning to help the analyst find the root cause of a problem. This paper presents an overview of the literature that has been published in the last 17 years on developing automatic root cause analysis (ARCA) solutions in manufacturing. The literature on the topic is disperse and it is currently lacking a connecting thread. As such, this study analyzes how previous studies developed the different elements of an ARCA solution for manufacturing: the types of data used, the methodologies, and the evaluation measures of the methods proposed. The proposed conceptualization establishes the base on which future studies on ARCA can develop results from this analysis, identifying gaps in the literature and future research opportunities.

2022

Best Frame Selection to Enhance Training Step Efficiency in Video-Based Human Action Recognition

Authors
Gharahbagh, AA; Hajihashemi, V; Ferreira, MC; Machado, JJM; Tavares, JMRS;

Publication
APPLIED SCIENCES-BASEL

Abstract
In recent years, with the growth of digital media and modern imaging equipment, the use of video processing algorithms and semantic film and image management has expanded. The usage of different video datasets in training artificial intelligence algorithms is also rapidly expanding in various fields. Due to the high volume of information in a video, its processing is still expensive for most hardware systems, mainly in terms of its required runtime and memory. Hence, the optimal selection of keyframes to minimize redundant information in video processing systems has become noteworthy in facilitating this problem. Eliminating some frames can simultaneously reduce the required computational load, hardware cost, memory and processing time of intelligent video-based systems. Based on the aforementioned reasons, this research proposes a method for selecting keyframes and adaptive cropping input video for human action recognition (HAR) systems. The proposed method combines edge detection, simple difference, adaptive thresholding and 1D and 2D average filter algorithms in a hierarchical method. Some HAR methods are trained with videos processed by the proposed method to assess its efficiency. The results demonstrate that the application of the proposed method increases the accuracy of the HAR system by up to 3% compared to random image selection and cropping methods. Additionally, for most cases, the proposed method reduces the training time of the used machine learning algorithm. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

2022

Binaural Acoustic Scene Classification Using Wavelet Scattering, Parallel Ensemble Classifiers and Nonlinear Fusion

Authors
Hajihashemi, V; Gharahbagh, AA; Cruz, PM; Ferreira, MC; Machado, JJM; Tavares, JMRS;

Publication
SENSORS

Abstract
The analysis of ambient sounds can be very useful when developing sound base intelligent systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded sound or clip among some predefined scenes. ASC has huge potential to be used in urban sound event classification systems. This research presents a hybrid method that includes a novel mathematical fusion step which aims to tackle the challenges of ASC accuracy and adaptability of current state-of-the-art models. The proposed method uses a stereo signal, two ensemble classifiers (random subspace), and a novel mathematical fusion step. In the proposed method, a stable, invariant signal representation of the stereo signal is built using Wavelet Scattering Transform (WST). For each mono, i.e., left and right, channel, a different random subspace classifier is trained using WST. A novel mathematical formula for fusion step was developed, its parameters being found using a Genetic algorithm. The results on the DCASE 2017 dataset showed that the proposed method has higher classification accuracy (about 95%), pushing the boundaries of existing methods.

2022

A comprehensive framework and literature review of supplier selection under different purchasing strategies

Authors
Saputro, TE; Figueira, G; Almada-Lobo, B;

Publication
COMPUTERS & INDUSTRIAL ENGINEERING

Abstract
Supplier selection has received substantial consideration in the literature since it is considered one of the key levers contributing to a firm's success. Selecting the right suppliers for different product items requires an appropriate problem framing and a suitable approach. Despite the vast literature on this topic, there is not a comprehensive framework underlying the supplier selection process that addresses those concerns. This paper formalizes a framework that provides guidance on how supplier selection should be formulated and approached for different types of items segmented in Kraljic's portfolio matrix and production policies. The framework derives from a thorough literature review, which explores the main dimensions in supplier selection, including sourcing strategy, decision scope and environment, selection criteria, and solution approaches. 326 papers, published from 2000 to 2021, were reviewed for said purpose. The results indicate that supplier selection regarding items with a high purchasing importance should lead to holistic selection criteria. In addition, items comprising a high complexity of supply and production activities should require integrated selection and different sources of uncertainty associated with decision scope and environment, respectively, to solve it, as well as hybrid approaches. There are still many research opportunities in the supplier selection area, particularly in the integrated selection problems and hybrid solution methods, as well as in the risk mitigation, sustainability goals, and new technology adoption.

2022

Energy Citizenship in Positive Energy Districts— Towards a Transdisciplinary Approach to Impact Assessment

Authors
van Wees, M; Revilla, BP; Fitzgerald, H; Ahlers, D; Romero, N; Alpagut, B; Kort, J; Tjahja, C; Kaiser, G; Blessing, V; Patricio, L; Smit, S;

Publication
BUILDINGS

Abstract
It is commonly assumed by the projects demonstrating concepts for positive energy districts in cities across Europe that citizens want and need to be involved in the development of these concepts as an essential condition for positive energy districts to be deployed successfully and to achieve the expected societal goals. Six different research and innovation projects are investigating the different forms of energy citizenship in positive energy districts and their impacts. They aim to apply a transdisciplinary approach to collaborative research and to impact assessment. The interim results are described, and preliminary conclusions on impact are drawn. The projects each used different approaches to engaging citizens, while differentiating between different groups. Progress is monitored but only fragmentary evidence on the impact has been gathered. Transdisciplinary approaches are being developed but are still immature.

Supervised Theses

2021

Advanced methodologies for the diagnosis of agronomic processes based on systems biology forprecision agriculture

Author
Renan Tosin

Institution
UP-FCUP

2021

Early detection and identification of plant diseases caused by bacteria based on proximal sensingfrom a precision agriculture perspective

Author
Mafalda Alexandra Reis Pereira

Institution
UP-FCUP

2021

Semantic Measures in Large Semantic Graphs

Author
André Fernandes dos Santos

Institution
UP-FCUP

2021

A dense and high throughput WLAN system using emerging Light Communications technology

Author
André da Silva Reis

Institution
UP-FEUP

2021

Jogos Sérios na Terceira Idade: Aprendizagem de comportamentos seguros e boas práticas na Web

Author
Iolanda Sofia dos Santos Bernardino

Institution
UTAD

Facts & Figures

0R&D Employees

2020

2Book Chapters

2020

19Senior Researchers

2016