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About

About

João Bastos is an Associate Professor at the Department of Mechanical Engineering of ISEP - Polytechnic of Porto. With the Degree in Mechanical Engineering from FEUP, Master's degree in Electrical and Computer Engineering in the field of Industrial Informatics at FEUP, and has a PhD degree from the Doctoral Program in Industrial Engineering and Management - PRODEIG at FEUP. His areas of interest are: Supply Chain Management, Distributed Planning, Optimization of production systems. He is a researcher at the National Institute for Systems and Computers of Porto - INESC TEC Laboratório Associado and participates in several research projects. Participates in national and international conferences and publishes in journals as well.

Interest
Topics
Details

Details

  • Name

    João Bastos
  • Role

    Assistant Researcher
  • Since

    01st March 1999
005
Publications

2023

Bat Algorithm for Discrete Optimization Problems: An Analysis

Authors
Sousa, B; Guerreiro, R; Santos, AS; Bastos, JA; Varela, LR; Brito, MF;

Publication
Lecture Notes in Mechanical Engineering

Abstract
In this article the application of the discrete version of the bat algorithm to flowshop scheduling problems is presented and compared with Simulated Annealing, Local Search, as well as versions of each that start from constructive heuristics (Palmer and CDS). Bat algorithm is a novel metaheuristic, developed for continuous problems that has shown exceptional results. This paper intends to assess its effectiveness and efficiency for discrete problems when compared with other optimization techniques, including Simulated Annealing and Local Search, whose results are already proven. First, it was developed a literature review about those algorithms, then they were implemented in VBA with Microsoft Excel. Once implemented, the parameterization was carried out, ensuring an adequate application of the algorithms before they can be compared. Then, the methods were applied for 30 normally distributed instances, in order to draw broader conclusions. Finally, a statistical evaluation was carried out and concluded the inferiority of the Local Search in relation to the metaheuristics and the superiority of the hybrid version of the Bat Algorithm with CDS in relation to Simulated Annealing, with significantly better solutions, in an equal computation time. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Firefly and Cuckoo Search Algorithm for Scheduling Problems: A Performance Analysis

Authors
Moreira, C; Costa, C; Santos, AS; Bastos, JA; Varela, LR; Brito, MF;

Publication
Lecture Notes in Mechanical Engineering

Abstract
Meta-heuristics are some of the best-known techniques to approach hard optimization problems, however, there are still questions about what makes some meta-heuristics better than others in a specific problem. This paper presents an analysis of the Firefly and Cuckoo Search Algorithm, such as others meta-heuristics. In order to assess the performance of the Firefly Algorithm and the Cuckoo Search Algorithm, they were compared with other well-known optimization techniques, such as Simulated Annealing and Local Search. Both meta-heuristics analysed in an in-depth computational study, reaching the conclusion that both techniques could be useful in Scheduling Problems and lead to satisfactory solutions quickly and efficiently. Moreover, the results of the analysis show that the Firefly Algorithm, despite having a high runtime, performs better than the other techniques. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

Collaborative Planning in Non-Hierarchical Networks-An Intelligent Negotiation-Based Framework

Authors
Bastos, J; Azevedo, A; Avila, P; Mota, A; Costa, L; Castro, H;

Publication
APPLIED SCIENCES-BASEL

Abstract
In today's competing business market, companies are constantly challenged to dynamically adapt to customer expectations by diminishing the time response that goes from the beginning of the business opportunity to the satisfaction of the customer need. Simultaneously, there is increased recognition of the advantages that companies obtain in focusing on their core business and seeking other competencies through partnerships with other partners by forming collaborative networks. These new collaborative organizational structures require a new set of methods and tools to support the management of manufacturing processes across the entire supply chain. The present paper addresses the collaborative production planning problem in networks of non-hierarchical, decentralized, and independent companies. By proposing a collaborative planning intelligent framework composed of a web-based set of methods, tools, and technologies, the present study intends to provide network stakeholders with the necessary means to responsively and efficiently address each one of the market business opportunities. Through this new holistic framework, the managers of the networked companies can address the challenges posed during collaborative network formation and supply chain production planning.

2023

Data Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Data

Authors
Castro, H; Costa, F; Ferreira, T; Avila, P; Cruz Cunha, M; Ferreira, L; Putnik, GD; Bastos, J;

Publication
MACHINES

Abstract
In the last few years, the industrial, scientific, and technological fields have been subject to a revolutionary process of digitalization and automation called Industry 4.0. Its implementation has been successful mainly in the economic field of sustainability, while the environmental field has been gaining more attention from researchers recently. However, the social scope of Industry 4.0 is still somewhat neglected by researchers and organizations. This research aimed to study Industry 4.0 and sustainability themes using data science, by incorporating open data and open-source tools to achieve sustainable Industry 4.0. To that end, a quantitative analysis based on open data was developed using open-source software in order to study Industry 4.0 and sustainability trends. The main results show that manufacturing is a relevant value-added activity in the worldwide economy; that, foreseeing the importance of Industry 4.0, countries in America, Asia, Europe, and Oceania are incorporating technological principles of Industry 4.0 in their cities, creating so-called smart cities; and that the industries that invest most in technology are computers and electronics, pharmaceuticals, transport equipment, and IT (information technology) services. Furthermore, the G7 countries have a prevalent positive trend for the migration of technological and social skills toward sustainability, as it relates to the social pillar, and to Industry 4.0. Finally, on the global scale, a positive correlation between data openness and happiness was found.

2023

3D Printed Device for Avoiding Hand Contact with Shared Surfaces: The Handgenic

Authors
Pais, AI; Ferreira, C; Pires, V; Silva, V; Alves, JL; Bastos, JA; Belinha, J;

Publication
Lecture Notes in Bioengineering

Abstract
The emergence of the COVID-19 pandemic required swift adaptations within public spaces, particularly in view of the uncertainties enveloping the transmission dynamics of the virus. Among the prominently contacted surfaces, door handles have garnered significant attention in research efforts aiming to curtail transmission risks. A notable proposition emerged to obviate the necessity of direct physical contact with handles, thereby introducing a novel approach. Thus, the manufacturing modality of three-dimensional (3D) printing was naturally embraced, primarily attributable to its expeditious prototyping capabilities. Although the extant literature and the open-source community have proffered diverse panaceas, this inquiry embarked on rectifying certain inadequacies that had afflicted antecedent methodologies. Elaborate exposition is provided pertaining to the progression of the developmental trajectory and the concomitant design refinements. In a bid to substantiate the efficaciousness of the produced solution, the finite element analysis (FEA) was judiciously employed to assess two distinct loading scenarios: during the installation phase and the subsequent operation of the contrivance. The empirical findings manifest the commendable load tolerance, with the proposed solution being capable of withstand forces exceeding 15 N. Furthermore, even under the most adverse circumstances, the device evinced a maximal displacement of 15 mm. Collectively, the corollaries borne out of this scholarly investigation corroborate the efficacy, utilitarian functionality, and ergonomic viabilities of the proposed solutions and manufacturing process. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

Supervised
thesis

2023

CASO DE ESTUDO - MODELAÇÃO DE PROCESSOS, MELHORIA E MONITORAMENTO

Author
MATEUS COELHO MARCHIORI

Institution
IPP-ISEP

2023

Proposta De Modelo De Referência Para Gestão Multi-Projeto

Author
CARLOTA PINTO MOREIRA

Institution
IPP-ISEP

2022

Estudo Da Implementação De Um Sistema De Monitorização E Análise De Dados Na Indústria Metalomecânica

Author
JOÃO MIGUEL SOARES CARNEIRO

Institution
IPP-ISEP

2022

MELHORIA DO PROCESSO DE GESTÃO DE INFORMAÇÃO NO SUPORTE AO CONTROLO DE QUALIDADE NUMA EMPRESA DO RAMO AUTOMÓVEL

Author
TIAGO ANDRÉ MOURA OLIVEIRA

Institution
IPP-ISEP

2021

APLICAÇÃO LEAN MANUFACTURING NA REDUÇÃO DO TEMPO DE RESPOSTA NO SETOR DE ENERGIAS RENOVÁVEIS

Author
TIAGO JESUS GONÇALVES

Institution
IPP-ISEP