The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: two robust bi-objective models

DOI10.1016/j.apm.2019.01.047zbMath1462.90021OpenAlexW2913870466WikidataQ128444531 ScholiaQ128444531MaRDI QIDQ2310621

Yanyan Li

Publication date: 6 April 2020

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

Full work available at URL: https://doi.org/10.1016/j.apm.2019.01.047

zbMATH Keywords

vehicle routingperishable productscross-dockingadjustable robust optimizationtruck schedulinguncertain freshness-life

Mathematics Subject Classification ID

Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35)

Related Items (6)

Network scheduling problem with cross-docking and loading constraints ⋮ A hub-and-spoke architecture for a parcel delivery system using the cross-docking distribution strategy ⋮ An adaptive polyploid memetic algorithm for scheduling trucks at a cross-docking terminal ⋮ Cross-dock facility for disaster relief operations ⋮ Modelling and heuristically solving many-to-many heterogeneous vehicle routing problem with cross-docking and two-dimensional loading constraints ⋮ A fuzzy robust stochastic mathematical programming approach for multi-objective scheduling of the surgical cases

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