Skip to main content
Top

2023 | OriginalPaper | Chapter

13. Conceptual Framework for Optimization Models in Industry 4.0 Context: Application to Production Planning

Authors : Ana Esteso, Andrés Boza, M. M. E. Alemany, Pedro Gomez-Gasquet

Published in: Industry 4.0: The Power of Data

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Production planning has traditionally been supported by mathematical programming. In recent years, Industry 4.0 and the use of its related techniques have been gaining strength in the production planning field. To develop mathematical programming models integrating Industry 4.0 techniques, it is necessary to migrate from optimization software normally used in academia to optimization packages developed in high-level programming languages. This paper aims to propose a conceptual framework to facilitate this migration by transcribing mathematical programming models to the programming languages of the MPL commercial optimization software and the optimization package Pyomo developed in Python. This framework can be used by both, academics and practitioners, to translate already implemented models in one software to the other, as well as to implement from scratch a mathematical programming model in any of this software. The proposed conceptual framework is validated through its use for the translation of a production planning model implemented in MPL to Pyomo.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Hess T, Matt C, Benlian A, Wiesböck F (2016) Options for formulating a digital transformation strategy. MIS Q Exec 15:123–139 Hess T, Matt C, Benlian A, Wiesböck F (2016) Options for formulating a digital transformation strategy. MIS Q Exec 15:123–139
2.
go back to reference Pérez Perales D, Alarcón Valero F, Boza García A (2018) Industry 4.0: a classification scheme. In: Closing the gap between practice and research in industrial engineering, pp 343–350 Pérez Perales D, Alarcón Valero F, Boza García A (2018) Industry 4.0: a classification scheme. In: Closing the gap between practice and research in industrial engineering, pp 343–350
3.
go back to reference Gilchrist A (2016) Introducing Industry 4.0. In: Industry 4.0. Apress, Berkeley, CA, pp 195–215 Gilchrist A (2016) Introducing Industry 4.0. In: Industry 4.0. Apress, Berkeley, CA, pp 195–215
4.
go back to reference Boza A, Alarcón F, Perez D, Gómez-Gasquet P (2019) Industry 4.0 from the supply chain perspective. In: Technological developments in Industry 4.0 for business applications. pp 331–351 Boza A, Alarcón F, Perez D, Gómez-Gasquet P (2019) Industry 4.0 from the supply chain perspective. In: Technological developments in Industry 4.0 for business applications. pp 331–351
5.
go back to reference Bagshaw KB (2019) A review of quantitative analysis (QA) in production planning decisions using the linear programming model. Am J Oper Res 09:255–269 Bagshaw KB (2019) A review of quantitative analysis (QA) in production planning decisions using the linear programming model. Am J Oper Res 09:255–269
Metadata
Title
Conceptual Framework for Optimization Models in Industry 4.0 Context: Application to Production Planning
Authors
Ana Esteso
Andrés Boza
M. M. E. Alemany
Pedro Gomez-Gasquet
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-29382-5_13

Premium Partners