Location of cross-docking centers and vehicle routing scheduling under uncertainty: a fuzzy possibilistic-stochastic programming model

DOI10.1016/j.apm.2013.10.029zbMath1427.90067OpenAlexW1979256662MaRDI QIDQ1630156

Y. Aharonov

Publication date: 7 December 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.10.029

zbMATH Keywords

stochastic programmingdistribution networksfuzzy possibilistic programmingcross-docking centers locationmixed-integer linear programming modelsvehicle routing scheduling

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Cites Work

• A possibilistic programming approach for closed-loop supply chain network design under uncertainty
• Linear programming with fuzzy parameters: an interactive method resolution
• A simulated annealing methodology to distribution network design and management
• Multiple crossdocks with inventory and time windows
• An exact algorithm for a cross-docking supply chain network design problem
• Integrated service network design for a cross-docking supply chain network
• Vehicle routing with cross-docking
• Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
• Unnamed Item

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