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

Cécilia Daquin, Hamid Allaoui, Gilles Goncalves () and Tienté Hsu
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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

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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.

Keywords: Optimization; Industrial symbiosis; Collaboration; Production planning; Lot-sizing (search for similar items in EconPapers)
Date: 2023-03
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Published in Computers & Industrial Engineering, 2023, pp.109171. ⟨10.1016/j.cie.2023.109171⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04065401

DOI: 10.1016/j.cie.2023.109171

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