Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: an LP-MIP heuristic approach
From MaRDI portal
Publication:319433
DOI10.1016/j.ejor.2015.01.044zbMath1346.90489OpenAlexW2002992952MaRDI QIDQ319433
Patrick Canning, Stephan J. Goetz, Mohammad Sadegh Tavallali, Hamideh Etemadnia
Publication date: 6 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2015.01.044
Applications of mathematical programming (90C90) Transportation, logistics and supply chain management (90B06) Discrete location and assignment (90B80)
Related Items (3)
Concealment measurement and flow distribution of military supply transportation: a double-entropy model ⋮ Public transportation hub location with stochastic demand: an improved approach based on multiple attribute group decision-making ⋮ Impact of product perishability on agri-food supply chains design
Cites Work
- Unnamed Item
- Hub location-allocation in intermodal logistic networks
- Facility location models for distribution system design
- Locating landfills--optimization vs. reality
- Integer programming formulations of discrete hub location problems
- Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers
- General network design: a unified view of combined location and network design problems
- P-hub approach for the optimal park-and-ride facility location problem
- Vendor managed inventory model for single-vendor multi-retailer supply chains
- A competitive hub location and pricing problem
- Network hub location problems: The state of the art
- Many-to-many location-routing with inter-hub transport and multi-commodity pickup-and-delivery
- Hub Arc Location Problems: Part II—Formulations and Optimal Algorithms
This page was built for publication: Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: an LP-MIP heuristic approach
