Optimization algorithms for collaborative manufacturing and logistics process

Beatriz Andres, Leila Saari, Matthieu Lauras, Fernando Eizaguirre

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper comprises the starting point of research, with the presentation, of a taxonomy for classifying manufacturing and logistic collaborative processes, which is based on SCOR views (Supply Chain Council, 2012), regarding with source (S), make (M), and delivery (D) plans, and their combination (SM, MD, SMD). In a second part, this paper focuses on the state of the art carried out within the scope of models and algorithms proposed to support enterprises in the decision-making of calculating plans from a collaborative and automated perspective. Identified Plans and Algorithms are classified according to the presented taxonomy. An analysis of the models and algorithms proposed, so far, in the literature is presented.
Original languageEnglish
Title of host publicationEnterprise Interoperability
Subtitle of host publicationin the Digitized and Networked Factory of the Future
EditorsMartin Zelm, Guy Doumeingts, Joao Pedro Mendonça
Place of PublicationLondon
Pages167 - 173
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Interoperability for Enterprise Systems and Applications: Enterprise Interoperability in the digitized and networked Factory of the Future - Guimarães, Portugal
Duration: 29 Mar 20161 Apr 2016
Conference number: 8

Conference

ConferenceInternational Conference on Interoperability for Enterprise Systems and Applications
Abbreviated titleI-ESA 2016
CountryPortugal
CityGuimarães
Period29/03/161/04/16

Fingerprint

Logistics
Taxonomies
Supply chains
Decision making
Industry

Keywords

  • logistic collaborative processes
  • supply chain
  • algorithms
  • decision-making
  • optimization

Cite this

Andres, B., Saari, L., Lauras, M., & Eizaguirre, F. (2016). Optimization algorithms for collaborative manufacturing and logistics process. In M. Zelm, G. Doumeingts, & J. P. Mendonça (Eds.), Enterprise Interoperability: in the Digitized and Networked Factory of the Future (pp. 167 - 173). London.
Andres, Beatriz ; Saari, Leila ; Lauras, Matthieu ; Eizaguirre, Fernando. / Optimization algorithms for collaborative manufacturing and logistics process. Enterprise Interoperability: in the Digitized and Networked Factory of the Future. editor / Martin Zelm ; Guy Doumeingts ; Joao Pedro Mendonça. London, 2016. pp. 167 - 173
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Andres, B, Saari, L, Lauras, M & Eizaguirre, F 2016, Optimization algorithms for collaborative manufacturing and logistics process. in M Zelm, G Doumeingts & JP Mendonça (eds), Enterprise Interoperability: in the Digitized and Networked Factory of the Future. London, pp. 167 - 173, International Conference on Interoperability for Enterprise Systems and Applications, Guimarães, Portugal, 29/03/16.

Optimization algorithms for collaborative manufacturing and logistics process. / Andres, Beatriz; Saari, Leila; Lauras, Matthieu; Eizaguirre, Fernando.

Enterprise Interoperability: in the Digitized and Networked Factory of the Future. ed. / Martin Zelm; Guy Doumeingts; Joao Pedro Mendonça. London, 2016. p. 167 - 173.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Saari, Leila

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AU - Eizaguirre, Fernando

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PY - 2016

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AB - This paper comprises the starting point of research, with the presentation, of a taxonomy for classifying manufacturing and logistic collaborative processes, which is based on SCOR views (Supply Chain Council, 2012), regarding with source (S), make (M), and delivery (D) plans, and their combination (SM, MD, SMD). In a second part, this paper focuses on the state of the art carried out within the scope of models and algorithms proposed to support enterprises in the decision-making of calculating plans from a collaborative and automated perspective. Identified Plans and Algorithms are classified according to the presented taxonomy. An analysis of the models and algorithms proposed, so far, in the literature is presented.

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Andres B, Saari L, Lauras M, Eizaguirre F. Optimization algorithms for collaborative manufacturing and logistics process. In Zelm M, Doumeingts G, Mendonça JP, editors, Enterprise Interoperability: in the Digitized and Networked Factory of the Future. London. 2016. p. 167 - 173