International Workshop FromACADEMY – preESGI 2019

ESGI – Academy & Industry

International Workshop FromACADEMY – preESGI 2019

 

Local: Centre for Rapid and Sustainable Product Development, Polytechnic of Leiria (CDRSP-IPLeiria) Marinha Grande

On November 28, 2018 | 16:30 to 19:30

 

The International Workshop FromACADEMY – preESGI 2019 is the first of a series of events within the next Portuguese ESGI that will take place at the Centre for Rapid and Sustainable Product Development (CDRSP – Polytechnic Institute of Leiria), Portugal, on November 28, 2018.

 

In this event we will present the plans for the ESGI 2019 that will occur at the Polytechnic Institute of Leiria from 1st of July to 5th of July 2019 and the International Workshops FromACADEMY and FromINDUSTRY – preESGI events that will occur to ensure that ESGI 2019 fulfils its objectives. Our goal for the whole ESGI programme is to promote a dynamic exchange between academe and entrepreneurs, by sharing some of the previous experiences of the past ESGIs and by challenging companies to think about different problems where Mathematics can play a key role.

 

Representatives of all companies and researchers are welcome to attend this event!

 

 

Programme:

 

16:30 – 17:30 | Guided Tour of the CDRSP-IPLeiria


17:30 – 19:00 | Presentations

 

– Paula Pascoal-Faria | Chair of ESGI 2019, Polytechnic of Leiria

– Manuel Cruz | President of the Portuguese Network of Mathematics for Industry and Innovation (PT-MATHS-IN)

– Adérito Araújo | President of the European Consortium for Mathematics in Industry (ECMI), UCoimbra

– Cristina Lopes, Ana Borges, Eliana Costa e Silva | Polytechnic of Porto

– Jorge Orestes | Nova University of Lisboa


19:00 – 19:30 | Closing remarks

 

Speakers:

 

 

Paula Faria is a Lecturer of the Mathematics Department at the School for Technology and Management of the Polytechnic Institute of Leiria and a Research Member of the Centre for Rapid and Sustainable Product Development (CDRSP) of the Polytechnic Institute of Leiria. She was a member of the direction board of OPEN – incubator of startup companies based in Marinha Grande, Portugal. Her research activity focuses mostly on numerical modelling techniques for manufacturing processes including direct digital manufacturing applied to metals, polymers and ceramics.

 

Title:

Building Momentum – Mathematics in Industry

 

Abstract:

 

This Programme of events (fromACADEMY and fromINDUSTRY preESGI and ESGI 019) provides an usual opportunity for entrepreneurs and researchers from Industry to meet an engage with Mathematicians to explore the common ground. This is the first of these events and we need to take this opportunity to learn about each other and continue the progress we have already made. This presentation will introduce briefly some R&D projects at CDRSP-IPLeiria in partnership with Industry to illustrate what we hope will be achieved.

 


 

 

Manuel Cruz is Professor at Instituto Superior de Engenharia do Porto, director of the Laboratory of Mathematical Engineering (LEMA), president of the Portuguese Network of Mathematics for Industry and Innovation (PT-MATHS-IN) and the Council member at the European Service Network of Mathematics for Industry and Innovation (EU-MATHS-IN). He received his Ph.D. in Applied Mathematics in 2011 from the Faculty of Sciences of the University of Porto. He holds a Masters in Applied Statistics and Modeling from the Faculty of Engineering of the University of Porto and a degree in Mathematics from the Faculty of Sciences of the same University. He does research in different areas such as Applied Statistics, Numerical Linear Algebra and Optimization, often applied to problems from the industry.

 

Title: 

PT-MATHS-IN – The Portuguese Network for technology transfer between Mathematics and Industry. 

 

Abstract:

 

Mathematical applications to solve industrial problems are often unknown to the general public. Industrial Mathematics, an area that deals with this type of challenges, has undergone several developments in recent years. The creation of EU-MATHS-IN, the European Service Network of Mathematics for Industry and Innovation, as well as the proliferation of national networks in the European area – including PT-MATHS-IN, Portuguese Network of Mathematics for Industry and Innovation – are two examples of this evolution. In this talk there will be made a short overview about their goals and recent activities. 

 


 

 

Adérito Araújo is an Associate Professor at the University in Coimbra, Portugal. He received his Ph.D. in 1998 in applied mathematics from the University of Coimbra on the topic of Additive Symplectic Integrators.

 

Since that date, he has been an active member of the Numerical Analysis and Optimization group of the Centre of Mathematics of the University of Coimbra maintaining active collaboration with engineers, doctors, physicists and chemists in several interdisciplinary projects. His research interests include the development of mathematical and numerical models for biomedical applications, in particular, for image processing and light propagation in human retina. He is in the Management Committee of the COST Action TD1409 Mathematics for Industry network (MI-NET) and in the scientific coordination of the Study Groups with Industry in Portugal. He is actually the President of ECMI (European Consortium for Mathematics in Industry) and the Vice-President of the Portuguese Mathematical Society.

 

Title: 

The European Study Groups with Industry

 

Abstract

 

The European Study Groups with Industry (ESGI)  are an internationally recognised method of technology transfer between academic mathematicians and industry. These week long workshops provide a forum for industrial scientists to work alongside academic mathematicians on problems of direct industrial relevance.

 

The success of the Study Groups’ unique format, which uses problems presented by industry as a basis for mathematical research, is demonstrated by the extent to which it has been copied around the world and is now extending into other areas where mathematics may be applied.

 

In this talk, we will give an overview of the study groups held in Europe towards building efficient interactions between industry and academic mathematicians. In particular, we will present the activities that are being undertaken by several European institutions like ECMI (European Consortium for Mathematics in Industry) and discuss strategies to facilitate more effective widespread application of mathematics to all industrial sectors.

 


 

 

Isabel Cristina Lopes has a degree in Mathematics, PhD in Industrial Engineering and a post-graduation in Statistics.

She has a position at the Polytechnic of Porto, lecturing Mathematics, Statistics and Operations Research. She is member of LEMA-Mathematical Engineering Lab, and also member of the Centre for Organisational and Social Studies of P. Porto (CEOS.PP). She is currently vice-president of APDIO (the Portuguese Association of Operations Research).

Her current research subjects are industrial scheduling problems, sectorization problems, vehicle routing, stock management, cutting and packing problems, integer programming methods, statistical data analysis, panel data models, time series and forecasting.

 

 

 

Ana Isabel Coelho Borges was born in Porto, Portugal, and went to University of Minho to obtain her PhD in Science, specialty in Mathematics, in 2015, with a thesis entitled Joint Modelling of Longitudinal and Survival Data on Breast Cancer, having been awarded the prize of the Portuguese Statistical Society in 2015, for a work developed within the scope of the PhD. She went to Faculty of Sciences, University of Porto to obtain her master’s degree in Mathematics Teaching in 2008 and to Portucalense Infante D. Henrique University, in Porto, to obtain her degree in Mathematics in 2006.

She has experience in mathematical and statistical modelling, data analysis and development of computational solutions to problems proposed by companies, obtained through the participation on European Study Groups with Industry, as an active member of the research Centre CIICESI/P.Porto, and large teaching experience.

She has interest in mathematical and statistical challenges, in diverse fields such as Medicine, Biology and Finances. She has a position at the Polytechnic of Porto since 2009, lecturing Mathematics, Statistics, having achieved the category of Adjunct Professor in April 2015.

She is member of the coordination committee of Industry Business School, since 2017.

 

 

 

Eliana Costa e Silva holds a PhD in Electronic and Computer Engineering – Robotics, MSc in Mathematics and Applications to Mechanics, postgraduate in Statistics and a degree in Mathematics, from University of Minho. She is currently a lecturer at Polytechnic of Porto (P.PORTO), a full member of the Center for Innovation and Research in Business Sciences and Information Systems (CIICESI) – School of Management and Technology (ESTG) P.PORTO. She has extensive experience in mathematical and statistical modeling, data analysis and working in the resolution of real problems proposed by companies in particular within the scope of the European Study Groups with Industry (ESGI) in which she participates since 2012. She was a member of the work teams of industrial challenges proposed by companies, such as: “Prediction model to textile parameter”, Continental; “LNG import forecasts in Spain”, by Reganosa; “Identification of energy supply units”, EDP; “Picking optimization”, SONAE MC; “Optimal scheduling of the engine repair process”, TAP Maintenance and Engineering. She was a member of the organizing committee of the 119th ESGI that took place in Oporto in June 2016 and scientific coordinator in II Iberian Modeling Week. She is a member of PT-MATHS-IN: Portuguese Network of Mathematics for Industry and Innovation (http://www.spm.pt/pt-maths-in/esgi-portugal) and member of the editorial team of BOLETIM APDIO.

eos@estg.ipp.pt

 

Title:

Industrial Challenges Addressed at Portuguese ESGI (Some examples)

 

Abstract:

 

In this talk three examples of industrial challenges that were addressed in past Portuguese European Study Groups will be presented. In particular:

 

– Challenge 1: Evaluating water meters performance at ESGI140

 

– Challenge 2: Modelling the acquisition plan of LPG cylinders with reverse logistics at ESGI 127

 

– Challenge 3: Optimal scheduling of the engine repair process at ESGI86 In the first challenge consisted in finding a solution to the case study of evaluating water meters Performance, proposed by Infraquinta, water utility that manages the water and the wastewater services of a well-known tourist place in Algarve, Portugal. This company seeks to improve mechanisms for predictive planning based on data analysis. In particular on evaluating water meters performance by using historical data. Hence, the main objective was to find out the water meter performance breakpoint and when to replace it. Firstly, the decomposition of monthly time series into seasonality, trend and irregular components was performed. The nonparametric Seasonal-Trend decomposition by Loess can identify a seasonal component that changes over time, a non-linear trend and it can be robust in the presence of outliers. Secondly, the detection of structural breaks in the trend component is performed since it is the one related to the meter performance. This approach tests for structural changes in linear regression models, estimating the number of segments and the breakpoints by minimizing the Bayesian information criterion and the residual sum of squares. Outcomes shown that this methodology can detect the water meter breaking points and that if incorporated in a system that automatically analyses the data and updates the information, could be the solution sought by Infraquinta.

 

The second industrial challenge consisted in planning the acquisition of liquefied petroleum gas (LPG) cylinders. The challenge by a Portuguese company that started its activity in the production and distribution of biofuel and, since then, has extended its business areas to other fuels and energy. The objective was to define an assets acquisition plan, i.e., to determine the amount of LPG cylinders to acquire, and when to acquire them, in order to optimize the investment. The used approach to find the solution of this problem can be divided in three phases. First, it was necessary to forecast demand, sales and the return of LPG bottles. Several factors were analysed and linear regression models were developed, as well as time series models and neural networks to produce the forecast. Subsequently, this data can be used in an Economic Order Quantity (EOQ) model for inventory management. Classical inventory models, such as the Wilson model, determine the Economic Order Quantity (EOQ) as the batch size that minimizes the total cost of stock management. A drawback of this approach is that it does not take into account reverse logistics, which in this challenge (i.e. the return of cylinders) plays a crucial role. At last, because it is necessary to consider the return rate of LPG bottles, we explore reverse logistic models, both deterministic and stochastic, which incorporate in production the returned cylinders, to identify the need of placing a production/purchasing order to avoid stock-out situations.

 

Finally, the last challenge consisted in a real world scheduling problem concerning the repair process of aircrafts’ engines by TAP Maintenance and Engineering (TAP-ME). TAP-ME is the maintenance, repair and overhaul organization of TAP Portugal, Portugal’s leading airline. A mixed integer linear programming formulation based on the flexible job shop scheduling, allowing operations to be executed on the same workstation by any processor of a given set, with the objective of minimizing the total weighted tardiness, is presented. Computational experiments on a real instance provided by TAP-ME from a regular working week were successful in finding an optimal solution. Additionally the model was tested using benchmarking instances available in literature.

 


 

 

Jorge Orestes Cerdeira (PT, 1953) is currently Full Professor at the Department of Mathematics of the Faculty of Sciences and Technology of the NOVA University of Lisbon. His research interests include operations research, graphs and combinatorial optimization. He has coordinated the Center for Applied Mathematics (Unidade I&D Matemática Aplicada/IISA), and integrated several projects including projects with Yasaki on the design of wire cable for the automotive industry. He is presently Vice-President of the Portuguese Operations Research Society (APDIO). He has actively participated in several editions of the European Study Group on Industry (organized the ESG101).

 

Title:

Two challenges presented at two ESGI editions in Portugal

 

Abstract:

 

 

In this talk I will address two problems presented at different ESGI’s editions. The first, posed by Grohe at ESGI 65th held at Porto in 2008, concerns the storing and collecting of parts at a warehouse to minimize the costs due to the wear and tear of the forklifts used to perform these operations. The second, presented by RAIZ – NAVIGATOR at the ESGI 127th held at Aveiro in 2017, aims at identifying regions with similar eucalyptus productivity levels.

 

For each problem I will give a description, present a mathematical model and discuss solution approaches.

 

 

Contacts:

esgi@ipleiria.pt

 

Organization:

  • Centre for Rapid and Sustainable Product Development | CDRSP-IPLeiria
  • Mathematics Department (DMAT), School of Technology and Management, Polytechnic of Leiria

 

European Study Group with Industry:

WEBSITE