Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

DOI10.1016/j.ejor.2015.08.028zbMath1346.90136OpenAlexW1423872990MaRDI QIDQ320877

Elnaz Kabir, Sarah M. Ryan, Esmaeil Keyvanshokooh

Publication date: 7 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.2015.08.028

zbMATH Keywords

stochastic programmingrobust optimizationBenders decompositionclosed-loop supply chainrobustness and sensitivity analysis

Mathematics Subject Classification ID

Mixed integer programming (90C11) Sensitivity, stability, parametric optimization (90C31) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10)

Related Items

Service system design for managing interruption risks: a backup-service risk-mitigation strategy ⋮ Supply–demand hub in industrial clusters: a stochastic approach ⋮ Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition ⋮ Multi-period green reverse logistics network design: an improved Benders-decomposition-based heuristic approach ⋮ Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition ⋮ A data-driven approach for supply chain network design under uncertainty with consideration of social concerns ⋮ Modeling and heuristics for production time crashing in supply chain network design ⋮ Hybrid stochastic and robust optimization model for lot-sizing and scheduling problems under uncertainties ⋮ A robust optimization model for distribution network design under a mixed integer set of scenarios ⋮ A stochastic programming model with endogenous and exogenous uncertainty for reliable network design under random disruption ⋮ A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions ⋮ Supply chain network design with financial considerations: a comprehensive review ⋮ A chance-constraint optimization model for a multi-echelon multi-product closed-loop supply chain considering brand diversity: an accelerated Benders decomposition algorithm ⋮ Supply chain network design under uncertainty: a comprehensive review and future research directions ⋮ Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management: mitigation and emergency evacuation ⋮ A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network ⋮ A novel separate chance-constrained programming model to design a sustainable medical ventilator supply chain network during the COVID-19 pandemic ⋮ Recovery strategies from major supply disruptions in single and multiple sourcing networks ⋮ A unified framework for stochastic optimization ⋮ Improved simulated annealing based network model for E-recycling reverse logistics decisions under uncertainty ⋮ Risk Based Optimization of Electronics Manufacturing Supply Chains ⋮ Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems ⋮ Climate-aware generation and transmission expansion planning: a three-stage robust optimization approach ⋮ On risk management of a two-stage stochastic mixed 0-1 model for the closed-loop supply chain design problem ⋮ Optimizing a mineral value chain with market uncertainty using Benders decomposition ⋮ Exact algorithms based on Benders decomposition for multicommodity uncapacitated fixed-charge network design ⋮ A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands ⋮ Data-driven distributionally robust capacitated facility location problem ⋮ A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty ⋮ A new robust possibilistic programming model for reliable supply chain network design: A case study of lead-acid battery supply chain ⋮ Multistage stochastic capacity planning of partially upgraded bitumen production with hybrid solution method ⋮ A hybrid system dynamics and two-stage mixed integer stochastic programming approach for closed-loop battery supply chain optimization

Cites Work

• Unnamed Item
• Optimisation of integrated reverse logistics networks with different product recovery routes
• Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition
• Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain
• A robust optimization approach to closed-loop supply chain network design under uncertainty
• An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
• Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles
• Practical enhancements to the Magnanti-Wong method
• Facility location and supply chain management. A review
• Reverse logistics network design for the collection of end-of-life vehicles in Mexico
• Supply chain design under uncertainty using sample average approximation and dual decomposition
• The design of robust value-creating supply chain networks: a critical review
• Partitioning procedures for solving mixed-variables programming problems
• Scenario reduction in stochastic programming
• Robust discrete optimization and network flows
• A dynamic pricing approach for returned products in integrated forward/reverse logistics network design
• Multi-period reverse logistics network design
• Robust strategies for facility location under uncertainty
• An improved Benders decomposition algorithm for the tree of hubs location problem
• Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty
• Robust supply chain network design with service level against disruptions and demand uncertainties: a real-life case
• A two-period game of a closed-loop supply chain
• Quantitative models for sustainable supply chain management: developments and directions
• Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: a traditional versus social responsibility company perspective
• Recent advances in robust optimization: an overview
• Designing a sustainable closed-loop supply chain network based on triple bottom line approach: a comparison of metaheuristics hybridization techniques
• On generating maximal nondominated Benders cuts
• An improved Benders decomposition algorithm for the logistics facility location problem with capacity expansions
• A stochastic programming approach for supply chain network design under uncertainty
• Reverse logistics network design and planning utilizing conditional value at risk
• Accelerating Benders Decomposition by Local Branching
• Accelerating Benders method using covering cut bundle generation
• The Price of Robustness
• Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria
• A Modified Benders' Partitioning Algorithm for Mixed Integer Programming
• Introduction to Stochastic Programming
• L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
• Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming