Optimisation of integrated reverse logistics networks with different product recovery routes
DOI10.1016/j.ejor.2014.03.034zbMath1338.90031OpenAlexW2030252188WikidataQ62308919 ScholiaQ62308919MaRDI QIDQ296710
F. Blanchet-Sadri, M. Dambrine
Publication date: 23 June 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.2014.03.034
reverse logisticssupply chain managementuncertainty modellinginventory controlfuzzy optimisationquality of returned products
Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Inventory, storage, reservoirs (90B05)
Related Items (12)
Cites Work
- Dismantle or remanufacture?
- Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation
- The concept of a linguistic variable and its application to approximate reasoning. I
- Quantitative models for reverse logistics: A review
- Three models of fuzzy integer linear programming
- Possibilistic linear programming: A brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
- Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: a traditional versus social responsibility company perspective
- Coordinated control of distribution supply chains in the presence of fuzzy customer demand
- Production planning for closed-loop supply chains with product recovery and reuse: an analytical approach
- Unnamed Item
This page was built for publication: Optimisation of integrated reverse logistics networks with different product recovery routes