Multi-objective mathematical modeling for sustainable supply chain management in the paper industry

Vafaeenezhad, Taha (University of Tehran, Iran ; Lorraine University, Metz, France) ; Tavakkoli-Moghaddam, Reza (University of Tehran, Iran ; Arts et Métiers ParisTech, LCFC, Metz, France) ; Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)

This work develops a multi-objective linear programming model for a multi-echelon, multi-product, multi-period supply chain planning. This model considers all dimensions of sustainable development paradigm simultaneously and expands six objective functions for making the model realistic. To solve this model and large-scale sustainable supply chain management, an improved version of the augmented ε-constraint method (AUGMECON2) is used. Computational results illustrate the proposed model admitted various progresses in all the three pillars of sustainable development; namely remarkable progress, mildly progress and irregular one, respectively. In addition, important managerial insights are provided. Trade-off interactions between multi-objectives are perceived by the obtained Pareto solutions that represents the cost of being sustainable from the point of optimizing the social factors and environmental impacts. An application to the paper industry is presented and discussed.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Date:
2019-09
Pagination:
11 p.
Published in:
Computers and Industrial Engineering
Numeration (vol. no.):
2019, vol. 135, pp. 1092-1102
DOI:
ISSN:
0360-8352
Appears in Collection:

Note: The file is under embargo until: 2020-09-01


 Record created 2019-06-11, last modified 2019-09-16

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