Advances in stochastic programming and robust optimization for supply chain planning
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Publication:1782184
DOI10.1016/j.cor.2018.07.027zbMath1458.90094OpenAlexW2887862412WikidataQ129424926 ScholiaQ129424926MaRDI QIDQ1782184
Kannan Govindan, Cheng, T. C. Edwin
Publication date: 18 September 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://portal.findresearcher.sdu.dk/da/publications/caa35b2b-351c-4099-b9e1-fb5efa54d3be
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Cites Work
- Integrated supply chain planning under uncertainty using an improved stochastic approach
- A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations
- Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
- An approach for strategic supply chain planning under uncertainty based on stochastic 0-1 programming
- Supply chain network design under uncertainty: a comprehensive review and future research directions
- Schumann, a modeling framework for supply chain management under uncertainty
- A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment
- A probabilistic bi-level linear multi-objective programming problem to supply chain planning
- Dynamic supply chain scheduling
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