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Operational Research

IO 2021—Analytics for a Better World. XXI Congress of APDIO, Figueira da Foz, Portugal, November 7–8, 2021

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. João Paulo Almeida

    1. CeDRI-IPB; Department of Mathematics School of Technology and Management, Polytechnic Institute of Bragança, Bragança, Portugal

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  2. Carla Soares Geraldes

    1. CeDRI-IPB; Department of Industrial Management, School of Technology and Management, Polytechnic Institute of Bragança, Bragança, Portugal

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  3. Isabel Cristina Lopes

    1. CEOS.PP; Instituto Superior de Contabilidade e Administração, Instituto Politécnico do Porto, São Mamede de Infesta, Portugal

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  4. Samuel Moniz

    1. Department of Mechanics, University of Coimbra, Coimbra, Portugal

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  5. José Fernando Oliveira

    1. CEGI—INESC TEC; Department of Industrial Engineering and Management Faculty of Engineering, University of Porto, Porto, Portugal

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  6. Alberto Adrego Pinto

    1. LIAAD—INESC TEC; Department of Mathematics, Faculty of Sciences, University of Porto, Porto, Portugal

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  • Is a research and application-oriented book on OR methods to current operations management challenges
  • Covers timely and up-to-date contributions of the Portuguese Community of Operational Research
  • Provides a valuable reference for Ph.D. students, researchers, and practitioners

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 411)

Included in the following conference series:

Conference proceedings info: IO 2021.

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About this book

This book provides the current status of research on the application of OR methods to solve emerging and relevant operations management problems. Each chapter is a selected contribution of the IO2021 - XXI Congress of APDIO, the Portuguese Association of Operational Research, held in Figueira da Foz from 7 to 8 November 2021. Under the theme of analytics for a better world, the book presents interesting results and applications of OR cutting-edge methods and techniques to various real-world problems. Of particular importance are works applying nonlinear, multi-objective optimization, hybrid heuristics, multicriteria decision analysis, data envelopment analysis, simulation, clustering techniques and decision support systems, in different areas such as supply chain management, production planning and scheduling, logistics, energy, telecommunications, finance and health. All chapters were carefully reviewed by the members of the scientific program committee.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. A Biased Random-Key Genetic Algorithm for the Home Care Routing and Scheduling Problem: Exploring the Algorithm’s Configuration Process

    • Ana Raquel Aguiar, Tânia Ramos, Maria Isabel Gomes
    Pages 1-21

  3. An Integer Programming Approach for Sensor Location in a Forest Fire Monitoring System

    • Beatriz Flamia Azevedo, Filipe Alvelos, Ana Maria A. C. Rocha, Thadeu Brito, José Lima, Ana I. Pereira
    Pages 23-35

  4. Capacity Allocation Incorporating Market Equity Concerns: A Pharmaceutical Supply Chain Case Study

    • Catarina Bessa, Raquel Duque, Alexandre Jesus, Cristóvão Silva, Lukas Eberle, Samuel Moniz
    Pages 37-51

  5. The Shortest Path in Signed Graphs

    • Inês Serôdio Costa, Rosa Figueiredo, Cristina Requejo
    Pages 53-71

  6. The Break Point: A Machine Learning Approach to Web Breaks in Paper Mills

    • Márcia Dias, Nuno Lourenço, Cristóvão Silva, Samuel Moniz
    Pages 73-85

  7. A Resectorization of Fire Brigades in the North of Portugal

    • Maria Margarida Lima, Filipe Soares de Sousa, Elif Göksu Öztürk, Pedro Filipe Rocha, Ana Maria Rodrigues, José Soeiro Ferreira et al.
    Pages 87-101

  8. A Holistic Framework for Increasing Agility in a Production Process

    • Leonor Magalhães, João Sousa Guedes, Jorge Freire de Sousa
    Pages 103-116

  9. Nesting and Scheduling for Additive Manufacturing: An Approach Considering Order Due Dates

    • Paulo Nascimento, Cristóvão Silva, Stefanie Mueller, Samuel Moniz
    Pages 117-128

  10. Developing a System for Sectorization: An Overview

    • Elif Göksu Öztürk, Filipe Soares de Sousa, Maria Margarida Lima, Pedro Filipe Rocha, Ana Maria Rodrigues, José Soeiro Ferreira et al.
    Pages 129-141

  11. New Models for Finding K Short and Dissimilar Paths

    • Marta Pascoal, Maria Teresa Godinho, Ali Moghanni
    Pages 143-161

  12. Time Windows Vehicle Routing Problem to On-Time Transportation of Biological Products on Healthcare Centres

    • Maria Teresa Pereira, Marisa Oliveira, Fernanda Amélia Ferreira, Alcinda Barreiras, Liliana Carneiro
    Pages 163-174

  13. The Role of Communication on the Spread of Dengue: An Optimal Control Simulation

    • Artur M. C. Brito da Cruz, Helena Sofia Rodrigues
    Pages 175-191

  14. Towards an Optimized and Socio-Economic Blood Supply Chain Network

    • Ana Torrado, Ana Paula Barbosa-Póvoa
    Pages 193-211

  15. A DEA Approach to Evaluate the Performance of the Electric Mobility Deployment in European Countries

    • Clara B. Vaz, Ângela P. Ferreira
    Pages 213-228

  16. The Art of the Deal: Machine Learning Based Trade Promotion Evaluation

    • David Branco Viana, Beatriz Brito Oliveira
    Pages 229-251
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Other volumes

  1. Operational Research

Editors and Affiliations

  • CeDRI-IPB; Department of Mathematics School of Technology and Management, Polytechnic Institute of Bragança, Bragança, Portugal

    João Paulo Almeida

  • CeDRI-IPB; Department of Industrial Management, School of Technology and Management, Polytechnic Institute of Bragança, Bragança, Portugal

    Carla Soares Geraldes

  • CEOS.PP; Instituto Superior de Contabilidade e Administração, Instituto Politécnico do Porto, São Mamede de Infesta, Portugal

    Isabel Cristina Lopes

  • Department of Mechanics, University of Coimbra, Coimbra, Portugal

    Samuel Moniz

  • CEGI—INESC TEC; Department of Industrial Engineering and Management Faculty of Engineering, University of Porto, Porto, Portugal

    José Fernando Oliveira

  • LIAAD—INESC TEC; Department of Mathematics, Faculty of Sciences, University of Porto, Porto, Portugal

    Alberto Adrego Pinto

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