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
    @inproceedings{6882f4c4b24146ffb0631ad3a266b9b5,
    title = "Optimization algorithms for collaborative manufacturing and logistics process",
    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.",
    keywords = "logistic collaborative processes, supply chain, algorithms, decision-making, optimization",
    author = "Beatriz Andres and Leila Saari and Matthieu Lauras and Fernando Eizaguirre",
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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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    KW - decision-making

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    A2 - Mendonça, Joao Pedro

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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