A Robust Mixed-Integer Linear Programming Model for Sustainable Collaborative Distribution

In this paper, we propose robust optimisation models for the distribution network design problem (DNDP) to deal with uncertainty cases in a collaborative context. The studied network consists of collaborative suppliers who satisfy their customers’ needs by delivering their products through common pl...

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Veröffentlicht in:	Mathematics (Basel) Jg. 9; H. 18; S. 2318
Hauptverfasser:	Snoussi, Islem, Hamani, Nadia, Mrabti, Nassim, Kermad, Lyes
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2021 MDPI
Schlagworte:	Algorithms Carbon dioxide Collaboration Costs COVID-19 Decomposition distribution network design problem (DNDP) Emissions Engineering Sciences Heuristic horizontal collaboration Integer programming Linear programming Literature reviews Logistics Mathematical programming Mathematics Mixed integer mixed-integer linear programming Network design Operating costs Optimization Random variables robust optimisation Robustness Sustainability Uncertainty uncertainty budget horizontal collaboration robust optimisation distribution network design problem (DNDP) uncertainty budget sustainability mixed-integer linear programming
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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