The following pages link to (Q3624051):
Displaying 19 items.
- Algorithms and mechanisms for procuring services with uncertain durations using redundancy (Q420791) (← links)
- Minimizing value-at-risk in single-machine scheduling (Q513548) (← links)
- Introducing statistical consistency for infinite chance constraints (Q723643) (← links)
- Finding reliable solutions: event-driven probabilistic constraint programming (Q846142) (← links)
- A two-stage coupled algorithm for an integrated maintenance planning and flowshop scheduling problem with deteriorating machines (Q892903) (← links)
- Confidence-based reasoning in stochastic constraint programming (Q896433) (← links)
- Robust execution strategies for project scheduling with unreliable resources and stochastic durations (Q906557) (← links)
- Scheduling with uncertain durations: Modeling \(\beta \)-robust scheduling with constraints (Q1010287) (← links)
- Job-shop resource scheduling via simulating random operations (Q1404663) (← links)
- Optimal computing budget allocation for ordinal optimization in solving stochastic job shop scheduling problems (Q1718781) (← links)
- An adaptive robust optimization model for parallel machine scheduling (Q2106719) (← links)
- A theoretic and practical framework for scheduling in a stochastic environment (Q2268505) (← links)
- Estimating the probability of meeting a deadline in schedules and plans (Q2321333) (← links)
- Scheduling Conditional Task Graphs (Q3523074) (← links)
- Proactive release procedures for just-in-time job shop environments, subject to machine failures (Q4651730) (← links)
- Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility (Q5154757) (← links)
- Maximizing the service level on the makespan in the stochastic flexible job-shop scheduling problem (Q6106559) (← links)
- Efficient optimal Kolmogorov approximation of random variables (Q6494381) (← links)
- Minimizing the expected maximum lateness for a job shop subject to stochastic machine breakdowns (Q6588509) (← links)