Exact(1)
It consists of a collection of models that represent different urban actors and processes, an object store that holds the state of the simulated urban environment, a model coordinator that schedules models to run and notifies them when data of interest has changed, and a translation and aggregation layer that performs a range of data conversions to mediate between the object store and the models.
Similar(59)
In this paper, we extend job scheduling models to include aspects of history-dependent scheduling, where setup times for a job are affected by the aggregate activities of all predecessors of that job.
One key finding from this work that needs to be further explored involves efficient ways of incorporating this methodology into traditional harvest scheduling models to better support the operational and tactical phases of the timber harvesting.
Few studies investigate the benefits of familiarity or continuity during MD-to-MD handoff of inpatients, and improving scheduling models to enhance continuity and familiarity could provide a tool to help with handoff efficiency and quality.
This paper presents a scheduling model to enhance cross-docking operations.
This paper explores the issue of choosing the best data to use when running a scheduling model to select a permanent workforce for a service facility.
We describe a stochastic heuristic forest management model which has been adapted from a timber harvest scheduling model, to model natural disturbances based on the concept of Markov chain probabilities.
We then built a stated preference experiment to infer preferences on departure time choice, and estimated a mixed logit model, based on the scheduling model, to account for the effects of daily activity schedules and their constraints.
In a case study from Northern Ontario, we used a spatially explicit harvest scheduling model to evaluate financial outputs for various scenarios, introducing different timber flow constraints, as well as varying utilization policies.
Here we employed an established, ecosystem-based, stand-level model (FORECAST) in combination with a simplified harvest-scheduling model to evaluate the potential tradeoffs among indicators of provisional, regulating and supporting ecosystem services in a Chinese-fir-dominated landscape located in Fujian Province as a case study.
This is not unexpected, because by default CPLEX does not solve the scheduling model to complete optimality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com