Pages that link to "Item:Q2484345"

The following pages link to A stochastic programming approach for supply chain network design under uncertainty (Q2484345):

Displaying 50 items.

• Practical enhancements to the Magnanti-Wong method (Q1003493) (← links)
• Modeling supplier selection and the use of option contracts for global supply chain design (Q1017454) (← links)
• Simulation and optimization of supply chains: Alternative or complementary approaches? (Q1017954) (← links)
• Modeling and optimizing of strategic and tactical production planning in the automotive industry under uncertainty (Q1017975) (← links)
• Facility location and supply chain management. A review (Q1027517) (← links)
• Development of a new approach for deterministic supply chain network design (Q1027594) (← links)
• Strategic network planning for an international automotive manufacturer (Q1028001) (← links)
• Robust supply chain design under uncertain demand in agile manufacturing (Q1040967) (← links)
• Supply chain design under uncertainty using sample average approximation and dual decomposition (Q1042158) (← links)
• Fuzzy optimization for supply chain planning under supply, demand and process uncertainties (Q1043265) (← links)
• The design of robust value-creating supply chain networks: a critical review (Q1046092) (← links)
• An approach for strategic supply chain planning under uncertainty based on stochastic 0-1 programming (Q1422876) (← links)
• Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs (Q1621689) (← links)
• Supply chain disruption management using stochastic mixed integer programming (Q1625210) (← links)
• A N-N optimization model for logistic resources allocation with multiple logistic tasks under demand uncertainty (Q1626234) (← links)
• An analytical method for cost analysis in multi-stage supply chains: a stochastic network model approach (Q1630718) (← links)
• A stochastic program to evaluate disruption mitigation investments in the supply chain (Q1634293) (← links)
• Dantzig-Wolfe decomposition approach to the vehicle assignment problem with demand uncertainty in a hybrid hub-and-spoke network (Q1639274) (← links)
• Discrete switched model and fuzzy robust control of dynamic supply chain network (Q1646467) (← links)
• Network design in scarce data environment using moment-based distributionally robust optimization (Q1651520) (← links)
• Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach (Q1652492) (← links)
• A mixed-integer programming approach for locating jamming devices in a flow-jamming attack (Q1652633) (← links)
• A long-term capacity expansion planning model for an electric power system integrating large-size renewable energy technologies (Q1652682) (← links)
• A bi-level programming model of resource matching for collaborative logistics network in supply uncertainty environment (Q1660618) (← links)
• Application of two-phase fuzzy optimization approach to multiproduct multistage integrated production planning with linguistic preference under uncertainty (Q1666553) (← links)
• The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm (Q1681158) (← links)
• Modeling and simulation for effectiveness evaluation of dynamic discrete military supply chain networks (Q1688093) (← links)
• Stochastic programming for global supply chain planning under uncertainty: an outline (Q1691695) (← links)
• Supply chain network design under uncertainty: a comprehensive review and future research directions (Q1695020) (← links)
• Robust supply chain network design: an optimization model with real world application (Q1699156) (← links)
• Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty (Q1713748) (← links)
• Robust solution for a minimax regret hub location problem in a fuzzy-stochastic environment (Q1717038) (← links)
• Product costing in the strategic formation of a supply chain (Q1730636) (← links)
• Managing congestion in a multi-modal transportation network under biomass supply uncertainty (Q1730690) (← links)
• Two-stage absolute semi-deviation mean-risk stochastic programming: an application to the supply chain replenishment problem (Q1734824) (← links)
• New algorithmic framework for conditional value at risk: application to stochastic fixed-charge transportation (Q1735183) (← links)
• Efficient solution selection for two-stage stochastic programs (Q1740544) (← links)
• A two-stage stochastic programming approach for influence maximization in social networks (Q1744898) (← links)
• A Benders decomposition approach for solving the offshore wind farm installation planning at the North Sea (Q1751693) (← links)
• The Benders decomposition algorithm: a literature review (Q1751891) (← links)
• A utility theory based interactive approach to robustness in linear optimization (Q1753136) (← links)
• Strategic facility location, capacity acquisition, and technology choice decisions under demand uncertainty: robust vs. non-robust optimization approaches (Q1753532) (← links)
• Whole blood or apheresis donations? A multi-objective stochastic optimization approach (Q1754076) (← links)
• Service location grouping and pricing in transportation: application in air cargo (Q1754269) (← links)
• Tactical supply chain planning under uncertainty with an application in the wind turbines industry (Q1782187) (← links)
• A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands (Q1782189) (← links)
• Benders decomposition: solving binary master problems by enumeration (Q1785474) (← links)
• An improved L-shaped method for solving process flexibility design problems (Q1793161) (← links)
• Belief degree of optimal models for uncertain single-period supply chain problem (Q1800349) (← links)
• A practical implementation of stochastic programming: an application to the evaluation of option contracts in supply chains (Q1879584) (← links)