Progress in industrial mathematics : success stories : the industry and the academia points of view / Manuel Cruz, Carlos Parés, Peregrina Quintela, editors.

This book presents a panorama about the recent progress of industrial mathematics from the point of view of both industrials and researchers. The chapters correspond to a selection of the contributions presented in the "Industry Day" and in the Minisymposium "EU - MATHS - IN: SuccessS...

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Bibliographic Details
Other Authors: Cruz, Manuel, Parés, Carlos, Quintela Estévez, Peregrina
Format: eBook
Language:English
Published: Cham : Springer, 2021.
Series:SEMA SIMAI Springer series ; v. 5.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Part I: The Industry Point of View: Hartmann, D. et al., Digital Twins
  • Karame, G., Towards Scalable and Private Industrial Blockchains
  • Pina, M., Industrial Mathematics: driving a new management approach
  • Moorthy, A. and Kearsley, A., Pattern similarity measures applied to mass spectra
  • Carrillo Pousa, G., et al., Numerical study of in-situ acoustic impedance and reflection coefficient estimation of locally reacting surfaces with pressure-velocity probes
  • Part II: The Academia Point of View: Carrasco, J. and Akhmatskaya, E., Multiscale Modelling and Simulation of Advanced Battery Materials
  • Gorria, C. and Lezaun, M., Optimization of the scheduling of the compound production machines in a tires factory
  • Luis Santos, J. and Oliveira, A., Traveling Salesman Problem in a Geographic Information Management System
  • Cruz, M. et al., Order and Stock Costs Optimization in an Automotive Spare Parts Wholesaler
  • Kolmbauer, M. et al., Topological index analysis and its application to multi-physical systems in system simulation software
  • Barroso, S. et al., Price Modelling on Heavy-Duty Assistance Contracts
  • Gonzalez-Vida, J.M., et al., Tsunami-HySEA: A numerical model developed for Tsunami Early Warning Systems (TEWS)
  • Rodriguez Veiga, J. et al., Wildfire resources management: a decision support tool created with R to solve optimisation models in logistics for fighting forest fires.