Simulation and modelling methods in aluminium rolling industry

Simulation and modelling methods in aluminium rolling industry

Aluminium coil production plants can be described as multi-stage processes which are often characterised by complexity and are expected to manipulate huge amount of data. Effective scheduling is a key issue for these processes since it can improve throughput rates and machine utilisation. This paper...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology Vol. 53; no. 9-12; pp. 993 - 1018
Main Authors: Papanagnou, Christos Ioannis, Halikias, George D.
Format: Journal Article
Language:English
Published: London Springer-Verlag 01-04-2011
Springer Nature B.V
Subjects:
Aluminum
CAE) and Design
Coils
Coils (strip)
Complexity
Computer simulation
Computer-Aided Engineering (CAD
Engineering
Industrial and Production Engineering
Industrial plants
Machine tools
Machining centres
Mechanical Engineering
Media Management
Modelling
Original Article
Performance evaluation
Production management
Simulation
Machine utilisation
Production management
Throughput
Simulation and modelling
Manufacturing processes
Aluminium industry
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Description
Summary:Aluminium coil production plants can be described as multi-stage processes which are often characterised by complexity and are expected to manipulate huge amount of data. Effective scheduling is a key issue for these processes since it can improve throughput rates and machine utilisation. This paper studies the production line of companies which produce high-quality rolled aluminium lithographic strips. An efficient representation for such production processes is provided and subsequently used for an extensive analysis and performance evaluation through appropriate metrics. In particular, the work addresses the implementation of an overall model in a simulation environment, capable of integrating the various aspects of the specific production management processes. The model was successfully validated using actual production data, and it was found that it is suitable for the modelling, analysis and performance evaluation of the complex aluminium coils production process. With the aid of the model, various scenarios were investigated via extensive simulation runs, such as installing additional machine centres and reducing pre-set times the products spend in intermediate storage areas.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-010-2880-3