A case-oriented computational study for sustainable fleet planning in a battery closed-loop supply chain network under uncertainty

PurposeThe purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.Design/methodology/approachA novel mixed-integer programming model that is able to consider interacti...

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Veröffentlicht in:	Engineering computations Jg. 40; H. 7/8; S. 1947 - 2008
Hauptverfasser:	Subulan, Kemal, Baykasoğlu, Adil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Publishing Limited 12.10.2023 Emerald Group Publishing Limited
Schlagworte:	Closed loops Design Design factors End of life Energy consumption Fleet management Fractions Goal programming Integer programming Inventory control Logistics Management decisions Mathematical models Mixed integer Network design Optimization Optimization models Pareto optimum Planning Product development Product life cycle Supply chains Sustainability Transport rate Transportation services Uncertainty Vehicle emissions Vehicle safety Vehicles Chance-constrained stochastic programming Multi-objective optimization Fleet management Closed-loop supply chain network design Sustainability Mixed-integer programming
ISSN:	0264-4401, 1758-7077
Online-Zugang:	Volltext
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