Works matching IS 02545330 AND DT 2024 AND VI 338 AND IP 1
Results: 28
Project management and scheduling 2022.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 1, doi. 10.1007/s10479-024-05971-0
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An upper bound for the inter-exit time of two jobs in an m-machine flow shop.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 379, doi. 10.1007/s10479-024-05957-y
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A machine-learning-based framework for contractor selection and order allocation in public construction projects considering sustainability, risk, and safety.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 225, doi. 10.1007/s10479-024-05898-6
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Metric estimation approach for managing uncertainty in resource leveling problem.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 645, doi. 10.1007/s10479-024-05897-7
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Analysis of a time–cost trade-off in a resource-constrained GERT project scheduling problem using the Markov decision process.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 535, doi. 10.1007/s10479-024-05896-8
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A new proactive and reactive approach for resource-constrained project scheduling problem under activity and resource disruption: a scenario-based robust optimization approach.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 597, doi. 10.1007/s10479-024-05895-9
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A multi-objective competency-based decision support system for the assignment of internal auditors to multiple projects.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 303, doi. 10.1007/s10479-024-05855-3
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The performance of priority rules for the dynamic stochastic resource-constrained multi-project scheduling problem: an experimental investigation.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 569, doi. 10.1007/s10479-024-05841-9
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On the local dominance properties in single machine scheduling problems.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 335, doi. 10.1007/s10479-023-05801-9
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Resource overload problems with tardiness penalty: structural properties and solution approaches.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 151, doi. 10.1007/s10479-023-05789-2
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Generation schemes for the resource-constrained project scheduling problem with partially renewable resources and generalized precedence constraints.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 173, doi. 10.1007/s10479-023-05788-3
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Solving a real-life multi-skill resource-constrained multi-project scheduling problem.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 69, doi. 10.1007/s10479-023-05784-7
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An efficient relax-and-solve method for the multi-mode resource constrained project scheduling problem.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 41, doi. 10.1007/s10479-023-05775-8
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Measuring the slack between lower bounds for scheduling on parallel machines.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 347, doi. 10.1007/s10479-023-05759-8
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Efficient solutions to the m-machine robust flow shop under budgeted uncertainty.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 765, doi. 10.1007/s10479-023-05661-3
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A novel framework for risk management of software projects by integrating a new COPRAS method under cloud model and machine learning algorithms.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 675, doi. 10.1007/s10479-023-05653-3
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Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type distributions.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 741, doi. 10.1007/s10479-023-05647-1
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Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 13, doi. 10.1007/s10479-023-05629-3
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A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 429, doi. 10.1007/s10479-023-05613-x
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A stochastic bi-objective project scheduling model under failure of activities.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 453, doi. 10.1007/s10479-023-05600-2
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Minimizing the expected maximum lateness for a job shop subject to stochastic machine breakdowns.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 801, doi. 10.1007/s10479-023-05592-z
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Simulated annealing for centralised resource-constrained multiproject scheduling to minimise the maximal cash flow gap under different payment patterns.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 115, doi. 10.1007/s10479-023-05580-3
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A risk analytics model for strategic workforce planning: readiness of enlisted military personnel.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 513, doi. 10.1007/s10479-023-05567-0
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Bayer digestion maintenance optimisation with lazy constraints and Benders decomposition.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 269, doi. 10.1007/s10479-023-05561-6
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A machine learning enhanced multi-start heuristic to efficiently solve a serial-batch scheduling problem.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 407, doi. 10.1007/s10479-023-05541-w
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Scheduling activities in project network with feeding precedence relations: an earliest start forward recursion algorithm.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 193, doi. 10.1007/s10479-023-05521-0
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A distributionally robust approach for the two-machine permutation flow shop scheduling.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 709, doi. 10.1007/s10479-023-05489-x
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Software project scheduling under activity duration uncertainty.
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- Annals of Operations Research, 2024, v. 338, n. 1, p. 477, doi. 10.1007/s10479-023-05343-0
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