Sentence examples for scheduling knowledge from inspiring English sources

In this paper, a knowledge-based modeling approach, PAM (disruption-handling Policies, local search Algorithms and object-oriented Modeling), is developed, which combines the scheduling knowledge of experienced schedulers with the optimization knowledge concerning models and algorithms in the field of Operations Research to obtain an effective solution in real time.

Then, a fuzzy inference system is employed to evaluate the characteristic values according to practical scheduling knowledge.

His research interests include building information modeling, lean construction, simulation-based scheduling, knowledge management, internet of things as well as virtual and augmented reality.

They are organized in 6 parts: knowledge discovery and sharing; knowledge-based planning and scheduling; knowledge-based sustainability; knowledge-based services; knowledge-based performance improvement, and case studies.

This work proposes a generalized framework to represent schedule knowledge, and a computer-based system that analyzes a project schedule and offers corrective advice on potential errors by integrating case-based and rule-based reasoning.

They have developed and refined their crop schedule knowledge over several generations, creating a deep bond between themselves, the river water and land.

The instrument sought for socio-demographic information of mothers, knowledge of vaccination schedule, knowledge about vaccine-preventable diseases, history of vaccines received by the child and reasons for non-vaccination.

This scheduler contains the components such as admission control, scheduling and knowledge process.

In this section, a model of the SaaS provider will be introduced which consists of the actors and admission control and scheduling and knowledge process components.

The papers in this volume present new and innovative developments in the field, divided into sections on AI Techniques I and II, CBR and Recommender Systems, Ontologies, Intelligent Agents and Scheduling Systems, Knowledge Discovery in Data and Spatial Reasoning, Image Recognition and Hypercubes.

Existing IT systems had little support for mechanisms specifically tailored to scheduling and knowledge building.