IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04065401.html
   My bibliography  Save this paper

Centralized Collaborative Planning of an Industrial Symbiosis: Mixed-integer linear model

Author

Listed:
  • Cécilia Daquin

    (LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 - CNRS - Centre National de la Recherche Scientifique - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

  • Hamid Allaoui

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Gilles Goncalves

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Tienté Hsu

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

Abstract

Nowadays production, distribution and consumption modes disrupt ecosystems. In order to preserve the environment, Circular Economy (CE) proposes to reduce the environmental footprint in a social approach. Among the principles of CE, Industrial Ecology seeks to limit the impact of industries on the environment by involving them in collaboration schemes through Industrial Symbioses (IS). IS enables the upcycling of a company's waste, called byproducts, by another company as raw material. In this context, the goal of this paper is to optimize the production planning of supply chains involved in an IS. We formulate this problem as a multi-level collaborative Lot-Sizing problem applied to Industrial Symbiosis. Thus, we introduce and define a new problem class : Centralized Collaborative Planning of an Industrial Symbiosis with actors (CCP-IS-N). First, a new Mixed Integer Linear (MILP) model is presented and the complexity of the problem is studied. Finally, the proposed model is analyzed in order to understand its behavior and to draw some key properties allowing to identify situation(s) in which IS is economically interesting or not.

Suggested Citation

  • Cécilia Daquin & Hamid Allaoui & Gilles Goncalves & Tienté Hsu, 2023. "Centralized Collaborative Planning of an Industrial Symbiosis: Mixed-integer linear model," Post-Print hal-04065401, HAL.
  • Handle: RePEc:hal:journl:hal-04065401
    DOI: 10.1016/j.cie.2023.109171
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04065401. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.