Stochastic transitions of a mixed-integer linear programming model for the construction supply chain: chance-constrained programming and two-stage programming

This paper addresses the problem of optimal Construction Supply Chain (CSC) design and integration in deterministic and stochastic environments by providing a family of models for the optimization of a dynamic, multi-product, multi-site contractor-led CSC. With the objective of minimizing the total...

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Veröffentlicht in:	Operational research Jg. 24; H. 3; S. 46
Hauptverfasser:	Koutsokosta, Aspasia, Katsavounis, Stefanos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2024 Springer Nature B.V
Schlagworte:	Business and Management Computational Intelligence Constraints Context Contractors Decision making Design optimization Economies of scale Integer programming Linear programming Logistics Management Science Minimum cost Mixed integer Network design Operations Research Operations Research/Decision Theory Optimization Original Paper Parameter robustness Parameter uncertainty Supply chains Sustainability Transportation Uncertainty Construction supply chain management Chance-constrained programming Two-stage programming Construction supply chain network design and integration Stochastic optimization Mixed-integer linear programming
ISSN:	1109-2858, 1866-1505
Online-Zugang:	Volltext
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