Optimal Design of Process Flexibility for General Production Systems
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Publication:5126618
DOI10.1287/opre.2018.1780zbMath1444.90050arXiv1806.02894OpenAlexW2964183494MaRDI QIDQ5126618
Xi Chen, Yuan Zhou, Tengyu Ma, Jia-Wei Zhang
Publication date: 20 October 2020
Published in: Operations Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1806.02894
Programming involving graphs or networks (90C35) Production models (90B30) Deterministic network models in operations research (90B10)
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Cites Work
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- Stochastic orders
- Analyzing process flexibility: a distribution-free approach with partial expectations
- Negative association of random variables, with applications
- Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders
- Process Flexibility Revisited: The Graph Expander and Its Applications
- Design for Process Flexibility: Efficiency of the Long Chain and Sparse Structure
- Worst-Case Analysis of Process Flexibility Designs
- Probability Inequalities for the Sum of Independent Random Variables
- Expander graphs and their applications
- Principles on the Benefits of Manufacturing Process Flexibility
- Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility
- Process Flexibility for Multiperiod Production Systems
- Sparse Process Flexibility Designs: Is the Long Chain Really Optimal?
- Concentration of Measure for the Analysis of Randomized Algorithms
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