A distributionally robust analysis of the program evaluation and review technique
From MaRDI portal
Publication:2030655
DOI10.1016/j.ejor.2020.09.027zbMath1487.90338OpenAlexW3089725977MaRDI QIDQ2030655
Publication date: 7 June 2021
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2020.09.027
Programming involving graphs or networks (90C35) Stochastic programming (90C15) Management decision making, including multiple objectives (90B50) Stochastic scheduling theory in operations research (90B36) Robustness in mathematical programming (90C17)
Related Items (3)
Extremal Probability Bounds in Combinatorial Optimization ⋮ Practicable robust stochastic optimization under divergence measures with an application to equitable humanitarian response planning ⋮ Introduction to special issue
Uses Software
Cites Work
- A new method for constructing a minimal PERT network
- PSPLIB -- a project scheduling problem library
- Mixture densities for project management activity times: A robust approach to PERT
- Constraint-Propagation-Based Cutting Planes: An Application to the Resource-Constrained Project Scheduling Problem
- A Branch-and-Cut Procedure for the Multimode Resource-Constrained Project-Scheduling Problem
- Preprocessing Stochastic Shortest-Path Problems with Application to PERT Activity Networks
- Distributionally Robust Convex Optimization
- Robustness against dependence in PERT: An application of duality and distributions with known marginals
- Comment construire un graphe PERT minimal
- Another Look at the PERT Assumptions
- Bounds on Expected Project Tardiness
- Application of a Technique for Research and Development Program Evaluation
- Robust Optimization with Ambiguous Stochastic Constraints Under Mean and Dispersion Information
- Arc Reduction and Path Preference in Stochastic Acyclic Networks
- More bounds on the expectation of a convex function of a random variable
This page was built for publication: A distributionally robust analysis of the program evaluation and review technique