A mixed-integer programming model for global logistics transportation problems

DOI10.1080/00207720701596441zbMath1279.90120OpenAlexW1996417054MaRDI QIDQ3497766

No author found.

Publication date: 27 July 2009

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720701596441

zbMATH Keywords

mixed integer programmingglobalizationroad transportationglobal logisticsglobal supply chain management

Mathematics Subject Classification ID

Mixed integer programming (90C11) Transportation, logistics and supply chain management (90B06)

Related Items (4)

A dual-response strategy for global logistics under uncertainty: a case study of a third-party logistics company ⋮ Hybrid multi-objective optimisation for concurrent activities consolidating two docked spacecraft ⋮ Optimal shrinking of the distribution chain: the facilities delocation decision ⋮ A Lyapunov–Razumikhin approach for stability analysis of logistics networks with time-delays

Uses Software

• AIMMS

Cites Work

• Interactive solutions for the linear multiobjective transportation problem
• Strategic production-distribution models: A critical review with emphasis on global supply chain models
• Modeling and design of global logistics systems: a review of integrated strategic and tactical models and design algorithms
• Multiobjective transportation network design and routing problems: Taxonomy and annotation
• Interactive decision support for multiobjective transportation problems
• The fleet size and mix vehicle routing problem with time windows
• Bicriteria Transportation Problem

This page was built for publication: A mixed-integer programming model for global logistics transportation problems