A smoothing algorithm for a new two-stage stochastic model of supply chain based on sample average approximation
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Publication:1992874
DOI10.1155/2017/5681502zbMath1426.90037OpenAlexW2766588136MaRDI QIDQ1992874
Publication date: 5 November 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/5681502
Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05)
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Cites Work
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- Optimal path problems with second-order stochastic dominance constraints
- Two-stage stochastic optimization problems with stochastic ordering constraints on the recourse
- Optimization with multivariate stochastic dominance constraints
- A smoothing method for solving portfolio optimization with CVaR and applications in allocation of generation asset
- Facility location models for distribution planning
- Strategic production-distribution models: A critical review with emphasis on global supply chain models
- Optimality and duality theory for stochastic optimization problems with nonlinear dominance constraints
- A non-interior continuation method for generalized linear complementarity problems
- A stochastic programming approach for supply chain network design under uncertainty
- A SMOOTHING PENALIZED SAMPLE AVERAGE APPROXIMATION METHOD FOR STOCHASTIC PROGRAMS WITH SECOND-ORDER STOCHASTIC DOMINANCE CONSTRAINTS
- Multicommodity Distribution System Design by Benders Decomposition
- Optimization with Stochastic Dominance Constraints
- Improved Portfolio Choice Using Second-Order Stochastic Dominance*
- CONSTRAINED OPTIMIZATION WITH RESPECT TO STOCHASTIC DOMINANCE: APPLICATION TO PORTFOLIO INSURANCE
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