The development of a knowledge model, which describes the reasoning process in managing schedule disturbance in steel-making, is presented. A literature review shows the lack of research in developing a knowledge model for decision-making in steel-making. The knowledge model distinguishes three knowledge categories: task, inference and domain. Knowledge is captured for the ten most common types of disturbances in steel-making. A common inference model exists for disturbance management. A knowledge elicitation methodology called eXpert Process Knowledge Analysis Technique (XPat) combined with a CommonKADS approach was used to capture process knowledge for managing schedule disturbance in steel-making. Finally, the knowledge model is validate...
in the steel industry A new solution for large-scale scheduling in the steelmaking industry, called ...
This paper proposes a model to analyze manufacturing problems according to a knowledge management pe...
Mathematical-analytical methods as used in Operations Research approaches are often insufficient for...
This paper presents the development of a knowledge model, which describes the reasoning process in m...
Higher production rates combined with consistent product quality and efficient energy use are the k...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN064208 / BLDSC - British Library ...
This paper describes a simulation system according to improve steelmaking's efficiency and to monito...
This paper describes a simulation system according to improve steelmaking’s efficiency and to monito...
Quality problems, such as cracks, rhomboidity and breakouts are often observed in continuously cast ...
NoA steel hot rolling mill subjects steel slabs to high temperatures and pressures in order to form ...
AbstractIn steel production practice, frequent deviations from a predictive schedule occur when the ...
In an integrated steelworks the Basic Oxygen Steelmaking (BOS) process is required for the refining ...
This paper describes the design, implementation and testing of an intelligent knowledge-based superv...
Abstract Modelling complex behaviour of steelmaking processes, affected by the dynamic environ-ment ...
The thesis presents an account of an attempt to utilize expert systems within the domain of producti...
in the steel industry A new solution for large-scale scheduling in the steelmaking industry, called ...
This paper proposes a model to analyze manufacturing problems according to a knowledge management pe...
Mathematical-analytical methods as used in Operations Research approaches are often insufficient for...
This paper presents the development of a knowledge model, which describes the reasoning process in m...
Higher production rates combined with consistent product quality and efficient energy use are the k...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN064208 / BLDSC - British Library ...
This paper describes a simulation system according to improve steelmaking's efficiency and to monito...
This paper describes a simulation system according to improve steelmaking’s efficiency and to monito...
Quality problems, such as cracks, rhomboidity and breakouts are often observed in continuously cast ...
NoA steel hot rolling mill subjects steel slabs to high temperatures and pressures in order to form ...
AbstractIn steel production practice, frequent deviations from a predictive schedule occur when the ...
In an integrated steelworks the Basic Oxygen Steelmaking (BOS) process is required for the refining ...
This paper describes the design, implementation and testing of an intelligent knowledge-based superv...
Abstract Modelling complex behaviour of steelmaking processes, affected by the dynamic environ-ment ...
The thesis presents an account of an attempt to utilize expert systems within the domain of producti...
in the steel industry A new solution for large-scale scheduling in the steelmaking industry, called ...
This paper proposes a model to analyze manufacturing problems according to a knowledge management pe...
Mathematical-analytical methods as used in Operations Research approaches are often insufficient for...