Pages that link to "Item:Q320877"

The following pages link to Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition (Q320877):

Displaying 38 items.

• Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition (Q320877) (← links)
• Accelerating Benders decomposition for closed-loop supply chain network design: case of used durable products with different quality levels (Q322784) (← links)
• A new multi-criteria scenario-based solution approach for stochastic forward/reverse supply chain network design (Q324318) (← links)
• Service system design for managing interruption risks: a backup-service risk-mitigation strategy (Q1634282) (← links)
• Supply chain network design under uncertainty: a comprehensive review and future research directions (Q1695020) (← links)
• Two-stage stochastic mixed-integer nonlinear programming model for post-wildfire debris flow hazard management: mitigation and emergency evacuation (Q1695038) (← links)
• Recovery strategies from major supply disruptions in single and multiple sourcing networks (Q1713742) (← links)
• A unified framework for stochastic optimization (Q1719609) (← links)
• Improved simulated annealing based network model for E-recycling reverse logistics decisions under uncertainty (Q1720913) (← links)
• On risk management of a two-stage stochastic mixed 0-1 model for the closed-loop supply chain design problem (Q1755235) (← links)
• Optimizing a mineral value chain with market uncertainty using Benders decomposition (Q1755250) (← links)
• A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands (Q1782189) (← links)
• A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty (Q1795042) (← links)
• Data-driven distributionally robust capacitated facility location problem (Q2030664) (← links)
• A hybrid system dynamics and two-stage mixed integer stochastic programming approach for closed-loop battery supply chain optimization (Q2109492) (← links)
• Multi-period green reverse logistics network design: an improved Benders-decomposition-based heuristic approach (Q2158031) (← links)
• A data-driven approach for supply chain network design under uncertainty with consideration of social concerns (Q2173127) (← links)
• Modeling and heuristics for production time crashing in supply chain network design (Q2173131) (← links)
• Hybrid stochastic and robust optimization model for lot-sizing and scheduling problems under uncertainties (Q2178069) (← links)
• A stochastic programming model with endogenous and exogenous uncertainty for reliable network design under random disruption (Q2183874) (← links)
• A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network (Q2196095) (← links)
• Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems (Q2242249) (← links)
• Climate-aware generation and transmission expansion planning: a three-stage robust optimization approach (Q2242403) (← links)
• Exact algorithms based on Benders decomposition for multicommodity uncapacitated fixed-charge network design (Q2273684) (← links)
• Multistage stochastic capacity planning of partially upgraded bitumen production with hybrid solution method (Q2302373) (← links)
• A robust optimization model for distribution network design under a mixed integer set of scenarios (Q2669596) (← links)
• A novel separate chance-constrained programming model to design a sustainable medical ventilator supply chain network during the COVID-19 pandemic (Q2691240) (← links)
• Risk Based Optimization of Electronics Manufacturing Supply Chains (Q3299237) (← links)
• Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model (Q3499293) (← links)
• Robust bi-level optimization for an opportunistic supply chain network design problem in an uncertain and risky environment (Q4682546) (← links)
• Supply–demand hub in industrial clusters: a stochastic approach (Q5058908) (← links)
• Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition (Q5084654) (← links)
• A new robust possibilistic programming model for reliable supply chain network design: A case study of lead-acid battery supply chain (Q5214305) (← links)
• A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions (Q6059873) (← links)
• Supply chain network design with financial considerations: a comprehensive review (Q6087476) (← links)
• A chance-constraint optimization model for a multi-echelon multi-product closed-loop supply chain considering brand diversity: an accelerated Benders decomposition algorithm (Q6109344) (← links)
• Multi-period fourth-party logistics network design with the temporary outsourcing service under demand uncertainty (Q6551185) (← links)
• Optimizing emergency supply pre-positioning for disaster relief: a two-stage distributionally robust approach (Q6568402) (← links)