A robust possibilistic programming model for a responsive closed loop supply chain network design
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Publication:5193421
DOI10.1080/23311835.2017.1329886zbMath1426.90044OpenAlexW2614079824MaRDI QIDQ5193421
Bahman Naderi, Mohamadreza Fazli-Khalaf, Mohammad Mohammadi, Alireza Hamidieh
Publication date: 10 September 2019
Published in: Cogent Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/23311835.2017.1329886
Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
- A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level
- A robust optimization approach to closed-loop supply chain network design under uncertainty
- Robust possibilistic programming for socially responsible supply chain network design: a new approach
- Environmental supply chain network design using multi-objective fuzzy mathematical programming
- Combining possibilistic linear programming and fuzzy AHP for solving the multi-objective capacitated multi-facility location problem
- Facility location and supply chain management. A review
- Effective implementation of the \(\varepsilon \)-constraint method in multi-objective mathematical programming problems
- Robust supply chain design under uncertain demand in agile manufacturing
- Simultaneous design and planning of supply chains with reverse flows: a generic modelling framework
- Multiple objective programming problems with possibilistic coefficients
- Quantitative models for reverse logistics: A review
- Minimax regret solution to linear programming problems with an interval objective function
- The design of reverse distribution networks: Models and solution procedures
- Robust solutions of linear programming problems contaminated with uncertain data
- Robust and reliable forward-reverse logistics network design under demand uncertainty and facility disruptions
- Production planning in furniture settings via robust optimization
- Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge
- Possibilistic linear programming: A brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
- Robust supply chain network design with service level against disruptions and demand uncertainties: a real-life case
- A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
- A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor
- A stochastic programming approach for supply chain network design under uncertainty
- Robust Convex Optimization
- Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model
- The Price of Robustness
- Robust Optimization of Large-Scale Systems
- Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming
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