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Contents

1. INFORMATION-INTEGRATED ENTERPRISES

1.1 INFORMATION ENTERPRISES AND NEW ENTERPRISES

1.1.1 Consideration of the Extended Enterprise

1.1.2 Integration Of Information, Integration Through Information

1.1.3 Planning for Strategic Goals

1.1.4 Implementing IT using Organic Architecture

1.1.5 Managing with Ubiquitous Enterprise Metadata

1.2 ENTERPRISE INFORMATION MANAGEMENT

1.3 THE METADATABASE TECHNOLOGY


2. SYSTEMS ANALYSIS AND DESIGN

2.1 A SYSTEMS DEVELOPMENT FRAMEWORK

2.1.1 The Systems Development Life Cycle

2.1.2 A Reference Model

2.2 SYSTEMS ANALYSIS TECHNIQUES

2.2.1 IDEF: ICAM Definitional System

2.2.2 Data Flow Diagram

2.3 INFORMATION MANAGEMENT TECHNOLOGY

2.3.1 Database Systems

2.3.2 Decision Support and Expert Systems

2.3.3 The Two-Stage Entity Relationship Model


3. EXAMPLES OF INFORMATION MODELING

3.1 THE MODELING METHODOLOGY

3.2 A SIMPLE HOSPITAL EXAMPLE

3.3 AN OBJECT-ORIENTED EXAMPLE

3.4 A BANKING EXAMPLE

3.4.1 The Semantics

3.4.2 The Models

3.5 A CIM EXAMPLE

3.6 A PROJECT MANAGEMENT EXAMPLE


4. AN ENTERPRISE MODELING METHOD

4.1 META-MODEL : THE CONCEPTUAL SCHEMA FOR INTEGRATED MULTI-MODEL ENVIRONMENTS

4.2. THE TWO-STAGE ENTITY-RELATIONSHIP (TSER) APPROACH TO META-MODELS

4.2.1. The Modeling Method : TSER

4.2.2. The Meta-model for Information Modeling

4.2.3. The Metadatabase Conceptual Schema Using TSER

4.3. BASIC MAPPING ALGORITHMS OF TSER

4.3.1. Functional-to-Structural Mapping Algorithm

4.3.2. Additional Algorithms : Models Integration, Rulebase Mapping, and Metadatabase Creation

4.3.3. CODASYL, Relational, and Object-Oriented Models Creation

4.3.4. Rulebase Model Creation

4.4. PARADIGM TRANSLATION : THE STEP/EXPRESS CASE

4.4.1 The Mapping

4.4.2 The Example

4.5. INFORMATION INTEGRATION USING META- MODELS


5. THE METADATABASE MODEL

5.1 THE BASIC CONCEPT OF THE METADATABASE MODEL

5.2 THE BASIC DESIGN

5.2.1 The Basic Model: A Metadatabase-Supported, Rule-Oriented Concurrent Architecture

5.2.2. The Metadatabase Structure: GIRD Model

5.2.3 The Meta-Model System

5.2.4 The Metadatabase-Supported Scalable Integration Hierarchy

5.2.5 ROPE: The Execution Model for the Architecture

5.2.6 The Model-Assisted Global Query System

5.2.7 The Metadatabase Management System

5.2.8 The Visual Information Universe Model

5.3 POSSIBLE IMPLEMENTATIONS


6. DEMONSTRATION OF A METADATABASE

6.1 THE METADATABASE PROTOTYPE

6.1.1 Properties

6.1.2 The Structure

6.2 METADATABASE SYSTEM FUNCTIONALITY

6.3 DETAILED PRESENTATION OF THE THREE MODES

6.3.1. Passive Mode

6.3.2. Semi-Active Mode

6.3.3. Active Mode

6.4 CONCLUSIONS


7. THE ENTERPRISE SCHEMA

7.1 THE GLOBAL INFORMATION RESOURCES DICTIONARY (GIRD)

7.1.1 Overview of the GIRD Model

7.1.2 The GIRD/SER Layer

7.1.3 The GIRD/OER Layer

7.1.4 Summary

7.2 GIRD IMPLEMENTATION: A METADATABASE

7.3 UNIQUE PROPERTIES OF THE GIRD MODEL

7.3.1 The Metadatabase As an Information Resources Dictionary

7.3.2 The metadatabase as the Global/Enterprise Schema


8. THE GLOBAL QUERY SYSTEM

8.1 MODEL ASSISTED GLOBAL QUERY

8.1.1 The Need for Metadata Support

8.1.2 User Interface for Query Formulation

8.1.3 Integrated Schema for Global Query

8.2 THE CONCEPTUAL MODEL

8.2.1 The Goals

8.2.2 The Definitive Model for Metadata Requirements

8.3 THE EXECUTION MODEL

8.3.1 Model Traversal

8.3.2 Rule-Base Conversion

8.4 ANALYSIS

8.4.1 Metadata Modeling vs. Schema Integration

8.4.2 Conceptual Evaluation of the MGQS Approach


9. ADAPTIVE CONCURRENT ARCHITECTURE

9.1 CONCURRENT ARCHITECTURES FOR ADAPTIVE INTEGRATION

9.2 ROPE: A NEW SOFTWARE METHOD FOR EIM

9.2.1 The Model of ROPE

9.2.2 The Static Structure of ROPE

9.2.3 The Dynamic Structure of ROPE

9.3 THE OPERATION OF ROPE

9.3.1 Rule Processing Operations

9.3.2 Knowledge Management Operations

9.4 IMPLEMENTATION: A LABORATORY EIM

9.5 SATISFACTION OF EIM REQUIREMENTS


10. MANUFACTURING INTEGRATION

10.1 INFORMATION MANAGEMENT FOR MANUFACTURING ENTERPRISE INTEGRATION

10.1.1 Adaptive Manufacturing through Information Technology: A Vision

10.1.2 Basic Concepts of Manufacturing Information Systems

10.2 PROTOTYPICAL MANUFACTURING INFORMATION SYSTEMS

10.2.1 Production Planning and Business Functions: MRP and MRP II

10.2.2 Production Control and Extended Planning for Vendors: SFC, FMS, and JIT

10.2.3 Engineering Functions: CAD-CAM, CAE, and CAPP

10.2.4 Integration of Engineering, Production, and Business: CE and CIM

10.3 INTEGRATION USING THE METADATABASE MODEL

10.3.1 Complexity of Manufacturing Enterprises

10.3.2 Solution Through Enterprise Metadata

10.3.3 A Core Information Model

10.4 THE PROCEDURE OF SYSTEMS DEVELOPMENT USING THE CORE INFORMATION MODEL

10.4.1 The Procedure

10.4.2 Implementation of a Basic System with a Metadatabase

10.4.3 Advanced System: Growth And Change

10.5. CONCLUSION


11. VISUAL INFORMATION UNIVERSE

11.1 THE CONCEPT OF 4-D INFORMATION VISUALIZATION

11.2 THE CONCEPTUAL MODEL OF VIU

11.2.1 The Goals of the 4-D Information Visualization

11.2.2 An Illustration

11.2.3 The DYNAMISM: A Functional Definition

11.3 BASIC DESIGN OF VIU

11.3.1 The Metadatabase: A Common Structure

11.3.2 The Visual Language Design: the Definition of Dynamism

11.3.3 The Visualization Environment: Universe and Globes

11.4 COMPARISON

11.4.1 Graphical User Interfaces

11.4.2 Metaphor Design

11.4.3 Knowledge Methods

11.5 CONCLUSION

 

 

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Rensselaer Polytechnic Institute
Department of Industrial and Systems Engineering (formally Decision Sciences & Engineering Systems)
110 8th St., Center for Industrial Innovation, Room 5123, Troy, NY 12180-3590

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