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.