Scalable Enterprise Systems: An Introduction to Recent Advances

ISBN-13: 9781461350521 / Angielski / Miękka / 2012 / 338 str.

Vittal Prabhu; Soundar Kumara; Manjunath Kamath

Opis

The growth in Internet and Information Technology (IT) has led to revolutionary changes in the way businesses are managed and operated. These IT changes have been largely characterized with the term, globalization, and these globalized changes in modern business are increasing at a rapid pace. Moreover, globalization requires rapid growth and dramatic changes in the business and market environments.

Enterprises must be scalable to support such changes and unprecedented growth. Hence, there is an immediate need for a single reference book that identifies the multiple dimensions of scalability and enterprise systems. This book will fulfill this need. Its objectives are as follows:
*To create a single source of literature to address the emerging area of scalable enterprise systems.
*To address the multi-disciplinary research needs stemming from engineering, computer science and business.
*To address the design, modelling, analysis, implementation and experimentation needs of scalable enterprise systems.
*To act as a springboard for much of the ongoing research in the field of Scalable Enterprise Systems.

Scalable Enterprises Systems: An Introduction to Recent Advances addresses six key ideas related to scalable enterprise systems. Chapters 1, 2 and 3 address the modelling aspects of enterprise systems. Chapter 4 discusses distributed control of such systems. Chapter 5 discusses the information systems modelling and implementation of the enterprise system with a transportation example. Given that enterprise systems produce and deal with large volumes of data, data mining is taken as a topic in Chapter 6. The need for a research test-bed is critical to study and analyze enterprise systems and this is the topic of Chapter 7. Implementation level details play a vital role in studying the scalability of large-scale systems. Chapters 8, 9 and 10 deal with several applied and implementation aspects, such as publish-subscribe middleware, auctions in the context of reverse logistics, and value net implementation.

This book will be of interest to researchers and practitioners in the field of logistics, supply chain management, transportation, and enterprise integration. It will be of special interest to professionals in IT at the detailed implementation level and at the strategic level.

Spis treści

1. A Review of Enterprise Process Modelling Techniques.- 1. Introduction.- 1.1 Enterprise modeling.- 1.1.1 The GERAM Framework.- 1.1.2 Enterprise process modeling.- 1.2 Significance of process modelling in the context of enterprise systems.- 1.3 Outline of the chapter.- 2. Review of Process Modelling Techniques.- 2.1 Data flow diagrams (DFD).- 2.2 IDEF0/IDEF3.- 2.2.1 IDEF0.- 2.2.2 IDEF3.- 2.3 CIMOSA.- 2.4 ARIS and its event-based process chain method.- 2.5 Event-driven process chain (EPC) method in SAP R/3.- 2.6 Integrated enterprise modelling (IEM) method.- 2.7 Toronto virtual enterprise (TOVE) method.- 2.8 Baan’s dynamic enterprise modelling (DEM) technique.- 2.9 Unified Modelling Language (UML).- 2.10 Workflow management.- 2.11 Evaluation of process modelling techniques — a summary.- 3. Modelling Next-Generation Enterprises.- 3.1 Modelling and incorporating distributed computing.- 3.2 Integrating process description and analysis.- 3.3 Linking engineering and business processes to support process improvement initiatives.- 3.4 Incorporating activity-based management approaches.- 4. The Distributed Integrated modelling of enterprises (DME) framework.- 4.1 Petri nets as a theoretical base.- 4.2 DIME framework development.- 4.2.1 Enterprise analysis using Petri net models.- 4.2.2 Current and future work on the DIME framework.- 5. Conclusions.- 6. Acknowledgements.- 7. References.- 2. Design and Manufacturing Process Management in a Network of Distributed Suppliers.- 1. Introduction.- 2. Background.- 2.1 Why not just optimize?.- 2.2 Abstracting the key dimensions of the problem: What kind of problem is this?.- 2.3 Adaptive planning systems.- 2.4 Problem space perspective on process planning.- 3. Process modeling: A brief review.- 4. Functional Requirements of Process Management: Specification and Execution.- 4.1 Process Specification.- 4.2 Execution Environment.- 5. Description of Midas System.- 5.1 Process grammar.- 6. Process Flow Generation and Execution.- 6.1 XML-based scalability.- 7. Percolation and Sensitivity Analysis: Process Expansion.- 7.1 Productions for Design Task.- 7.2 Productions for Manufacturing Task.- 8. A simple example.- 9. Conclusion.- 3. Finite Automata Modeling and Analysis of Supply Chain Networks.- 1. Introduction.- 2. Preliminaries.- 2.1 Supply Chains: Tasks and Dependencies.- 2.2 Discrete Event System Theory — A Control Theoretic Approach.- 2.3 Supervisory Controller.- 3. Supply Chain Modeling.- 3.1 Deriving the Behavioral Model.- 3.2 Deriving the Specification Model.- 4. Supply Chain Analysis.- 4.1 Supply Chain Consistency.- 4.2 Redundancy Checking.- 4.2.1 Control Specification Redundancy.- 4.2.2 Event Redundancy (partial observation).- 4.3 Event Controllability Analysis.- 4.4 Scalability.- 4.4.1 Task Scalability.- 4.4.2 Specification Scalability.- 5. “GOURMET-TO-GO”- A Case Study.- 6. Conclusion.- 4. Distributed Control Algorithms for Scalable Decision-Making from Sensors-to Suppliers.- 1. Introduction.- 2. Feedback Control of Discrete Event-Timing.- 3. Modeling Event Timing Control Using Discontinuous Differential Equations.- 3.1 Definitions.- 3.1.1 Closure of Convex Hull.- 3.1.2 Measure Zero.- 3.1.3 Piecewise Continuous Function.- 3.1.4 Absolutely Continuous Function.- 3. 2 Solution of Discontinuous Differential Equations.- 3.3 Distributed Arrival Time Control Solution.- 3.3.1 Solution in Decoupled Region.- 3.3.2 Solution in Dead-Zone Region.- 3.3.3 Solution in Discontinuity Region.- 3.3.4 Convex Hull Geometry.- 3.3.5 Steady-State Arrival Time.- 3.3.6 Two Part, One Machine Case.- 3.3.7 Three-Part, One-Machine Case.- 3.4 Extensions and Generalizations of Event Timing Control.- 4. Unified Modeling and Control from Sensors-to-Suppliers.- 5. Conclusions.- 6. References.- 5. Collaborative Multiagent Based Information Infrastructure for Transportation Problem Solving.- 1. Introduction.- 2. The Transportation problem.- 3. AGENT Interactions.- 3.1 KQML and Logistics Language (LogL).- 3.2 KOMI, interactions in link a.- 3.3 KQML interactions in link b.- 3.4 KQML interactions in link c.- 3.5 KQML interactions in link d.- 3.6 All Other Interaction Links.- 4. Multiagent Model.- 4.1 The Model of a Master.- 4.2 The Model of a Slave.- 4.3 Putting It All Together.- 5. Comparison with Other Research.- 6. Conclusions.- 6. Improving Scalability of E-Commerce Systems with Knowledge Discovery.- 1. Background.- 2. Case Study: Online Auctions for Recyclable Products.- 3. The Curse of Dimensionality.- 3.1 Feature Selection.- 3.1.1 An Information Gain Filter.- 3.1.2 Correlation-Based Feature Selection.- 3.2 Clustering.- 3.2.1 Clustering Using the k-Means Algorithm.- 3.2.2 Clustering Using the Cob Web Algorithm.- 4. Expediting the System Operations.- 4.1 Decision Trees.- 4.2 Support Vector Machines.- 4.3 Association Rule Discovery.- 5. Improving Scalability of an Online Auction System.- 6. Conclusions.- References.- 7. A Scalable Supply Chain Infrastructure Research Test-Bed.- 1. Background.- 1.1 Introduction.- 1.2 Literature Review.- 2. A Scalable SCI test-bed Architecture.- 2.1 Test-bed Components.- 2.2 SCI Test-bed Architecture.- 2.3 SCI Test-bed Integration Data Models.- 2.4 SCI Integration Business Models.- 3. Advanced decision models.- 3.1 Available-to-Promise Decision Models.- 3.2. Simulation-Based Decision Models.- 4. Support for Other Research Projects.- 4.1 Performance Scalability in Supply Chain Infrastructures.- 4.2 Toshiba Global Supply Chain Model.- 4.3 Impact of Internet on Supply Chain Architectures.- 5. Conclusions.- 6. Acknowledgements.- 7. References.- 8. Publish Subscribe Middleware.- 1. Introduction.- 1.1 What is a publish subscribe system.- 1.2 Classification of publish subscribe system.- 1.2.1 Subject based.- 1.2.2 Content based.- 2. Evolution of Publish Subscribe Systems.- 2.1 Internet News.- 2.2 Group Communication Systems.- 2.3 Linda.- 2.4 Information Bus.- 2.5 Tibco Randezvous.- 2.6 Content Based Systems.- 3. Design Issues in Content Based Systems.- 3.1 Event Matching and Delivery.- 3.2 Security in Content Based Systems.- 4. Event Multicast in Content Based Systems.- 4.1 Ideal Algorithm.- 4.2 Flooding.- 4.3 Clustered Group Multicast (CGM).- 4.4 The Neighbor Matching Algorithm.- 4.5 Group Approximation Algorithm.- 4.6 Summary of Multicast Algorithms.- 5. Secure end point delivery.- 5.1 Group Key Caching.- 5.1.1 Simple caching.- 5.1.2 Build-up cache.- 5.1.3 Clustered cache.- 5.1.4 Clustered popular cache.- 5.1.5 Simulations.- 5.2 Conclusions.- 6. Summary.- 9. Experimental Study of Scalability Enhancement for Reverse Logistics E-Commerce.- 1. Introduction.- 2. Description of Experimental Prototype.- 2.1 Roles of Manufacturer, Demanufacturer, and Recycler.- 2.2 Sealed Bid Double Auction (SBDA) Mechanism.- 3. Experimental Design.- 3.1 Data Analysis.- 3.2 Results.- 4. Auction Recommender.- 4.1 Constructing a Recommendation.- 5. Conclusion.- 10. Web-Based Distributed Multi-Agent Architecture for Implementing Value Nets.- 1. Introduction.- 2. Literature Review.- 3. Multi-Agent Architecture.- 4. Agent Communication.- 4.1 Information/workflow within the multi-agent value net.- 4.2 BDI model.- 4.3 Semantics of the Valcomm Performatives.- 4.4 Multi-Agent interactions.- 4.4.1 Customer/Coordinator — Coordinator Interactions (Link A).- 4.4.2 Coordinator — Department (Link B).- 4.4.3 Internal Departmental-External Coordinator Interactions (Link C).- 5. Implementation of Multi-agents for value nets.- 6. Conclusions.- 7. Future work.