Information Management in Computer Integrated Manufacturing
Editat de Heimo H. Adelsberger, Jiri Lazansky, Vladimir Mariken Limba Engleză Paperback – 21 aug 1995
Much attention was paid to the style of writing and coverage of the important issues. Thus the book is particularly suited as a text for students and young scientists approaching CIM from different directions; at the same time, it is a comprehensive guide for industrial engineers in machine engineering, computer science, control engineering, artificial intelligence, production management, etc.
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Specificații
ISBN-13: 9783540602866
ISBN-10: 3540602860
Pagini: 684
Ilustrații: XII, 672 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.02 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540602860
Pagini: 684
Ilustrații: XII, 672 p.
Dimensiuni: 155 x 235 x 37 mm
Greutate: 1.02 kg
Ediția:1995
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
Introductory overview.- Shortcomings and extensions of relational DBMS.- Evaluation of object-oriented database systems.- Active object-oriented database systems for CIM applications.- Databridge between RDBMS and OODBMS.- Database requirements of CIM applications.- Planning and scheduling.- Operational research models and methods in CIM.- Production planning and control systems — State of the art and new directions.- Simulation — A tool for developing advanced production strategies.- Dynamic modeling of CIM systems.- Fuzzy modeling and control.- Foundations of computer communications.- Information Management and Information Systems Planning.- Overview of function modelling — IDEFO.- Data modeling with IDEF1X.- Automatic programming in CIM based on intelligent tools.- Model based decision support systems.- Man — Machine interface for CIM.- Designing for evolutionary systems.- Active subsystems for CIM environments.- CAD systems: trends and developments.- Concurrent engineering.- Groupwork in the shop-floor-area needs decentral CIM-structures and components.- Does CIM need AI?.- Multi-agent-systems — A natural trend in CIM.- Production scheduling and genetic algorithms.- Implementation of systems with declarative constraints.- Qualitative reasoning and CIM.- Comparison and analysis of selected CIM-laboratory concepts and their importance for the improvement of staff training.- The use of the active database SIMON for a short term production planning system in the automotive industry.