Optimization Models to Support Decision-Making in Collaborative Networks: A Review

Beatriz Andres, Raul Poler, Leila Saari, Joseba Arana, Jose-Vicente Benaches, Javier Salazar

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

    Abstract

    Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The main gaps found between the literature reviewed and the enterprises' needs are presented and discussed.
    Original languageEnglish
    Title of host publicationClosing the Gap Between Practice and Research in Industrial Engineering
    EditorsElisabeth Viles, Marta Ormazábal, Alvaro Lleó
    PublisherSpringer
    Pages249-258
    ISBN (Electronic)978-3-319-58409-6
    ISBN (Print)978-3-319-58408-9
    DOIs
    Publication statusPublished - 2018
    MoE publication typeA4 Article in a conference publication
    EventCIO-ICIEOM-IISE-AIM International Joint Conference, IJC 2016 - San Sebastian, Spain
    Duration: 13 Jul 201615 Jul 2016

    Publication series

    SeriesLecture Notes in Management and Industrial Engineering
    ISSN2198-0772

    Conference

    ConferenceCIO-ICIEOM-IISE-AIM International Joint Conference, IJC 2016
    Abbreviated titleIJC 2016
    CountrySpain
    CitySan Sebastian
    Period13/07/1615/07/16

    Fingerprint

    Decision making
    Planning
    Industry
    Turbulence

    Keywords

    • collaborative networks
    • collaborative processes
    • production planning
    • industrial optimisation needs

    Cite this

    Andres, B., Poler, R., Saari, L., Arana, J., Benaches, J-V., & Salazar, J. (2018). Optimization Models to Support Decision-Making in Collaborative Networks: A Review. In E. Viles, M. Ormazábal, & A. Lleó (Eds.), Closing the Gap Between Practice and Research in Industrial Engineering (pp. 249-258). Springer. Lecture Notes in Management and Industrial Engineering https://doi.org/10.1007/978-3-319-58409-6_28
    Andres, Beatriz ; Poler, Raul ; Saari, Leila ; Arana, Joseba ; Benaches, Jose-Vicente ; Salazar, Javier. / Optimization Models to Support Decision-Making in Collaborative Networks : A Review. Closing the Gap Between Practice and Research in Industrial Engineering. editor / Elisabeth Viles ; Marta Ormazábal ; Alvaro Lleó. Springer, 2018. pp. 249-258 (Lecture Notes in Management and Industrial Engineering).
    @inproceedings{22d69bd4178645bb83c8b2e522679fcf,
    title = "Optimization Models to Support Decision-Making in Collaborative Networks: A Review",
    abstract = "Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The main gaps found between the literature reviewed and the enterprises' needs are presented and discussed.",
    keywords = "collaborative networks, collaborative processes, production planning, industrial optimisation needs",
    author = "Beatriz Andres and Raul Poler and Leila Saari and Joseba Arana and Jose-Vicente Benaches and Javier Salazar",
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    Andres, B, Poler, R, Saari, L, Arana, J, Benaches, J-V & Salazar, J 2018, Optimization Models to Support Decision-Making in Collaborative Networks: A Review. in E Viles, M Ormazábal & A Lleó (eds), Closing the Gap Between Practice and Research in Industrial Engineering. Springer, Lecture Notes in Management and Industrial Engineering, pp. 249-258, CIO-ICIEOM-IISE-AIM International Joint Conference, IJC 2016, San Sebastian, Spain, 13/07/16. https://doi.org/10.1007/978-3-319-58409-6_28

    Optimization Models to Support Decision-Making in Collaborative Networks : A Review. / Andres, Beatriz; Poler, Raul; Saari, Leila; Arana, Joseba; Benaches, Jose-Vicente; Salazar, Javier.

    Closing the Gap Between Practice and Research in Industrial Engineering. ed. / Elisabeth Viles; Marta Ormazábal; Alvaro Lleó. Springer, 2018. p. 249-258 (Lecture Notes in Management and Industrial Engineering).

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

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    N2 - Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The main gaps found between the literature reviewed and the enterprises' needs are presented and discussed.

    AB - Enterprises, especially SMEs, are increasingly aware of belonging to Collaborative Networks (CN), due to the competitive advantages associated to deal with markets globalization and turbulence. The participation in CN involves enterprises to perform collaborative planning along all the processes established with the CN partners. Nevertheless, the access of SMEs to optimisation tools, for dealing with collaborative planning, is currently limited. To solve this concern, novel optimisation approaches have to be designed in order to improve the integrated planning in CN. In order to deal with this problem, this paper proposes a baseline to identify current enterprise needs and literature solutions in the replenishment, production and delivery collaborative planning, as a part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET) research project. The main gaps found between the literature reviewed and the enterprises' needs are presented and discussed.

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    Andres B, Poler R, Saari L, Arana J, Benaches J-V, Salazar J. Optimization Models to Support Decision-Making in Collaborative Networks: A Review. In Viles E, Ormazábal M, Lleó A, editors, Closing the Gap Between Practice and Research in Industrial Engineering. Springer. 2018. p. 249-258. (Lecture Notes in Management and Industrial Engineering). https://doi.org/10.1007/978-3-319-58409-6_28