Scalable Enterprise Systems

1. Front Matter

   Pages i-xxxi

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2. A Review of Enterprise Process Modelling Techniques

   • Manjunath Kamath, Nikunj P. Dalal, Amit Chaugule, Eswar Sivaraman, William J. Kolarik

   Pages 1-32

3. Design and Manufacturing Process Management in a Network of Distributed Suppliers

   • Moon Jung Chung, Patrick Kwon, Brian Pentland

   Pages 33-64

4. Finite Automata Modeling and Analysis of Supply Chain Networks

   • Houshang Darabi, Mohsen A. Jafari

   Pages 65-99

5. Distributed Control Algorithms for Scalable Decision-Making from Sensors-to-Suppliers

   • Vittal Prabhu

   Pages 101-159

6. Collaborative Multiagent Based Information Infrastructure for Transportation Problem Solving

   • Goutam Satapathy, Soundar R. T. Kumara

   Pages 161-191

7. Improving Scalability of E-Commerce Systems with Knowledge Discovery

   • Sigurdur Olafsson

   Pages 193-216

8. A Scalable Supply Chain Infrastructure Research Test-Bed

   • Z.-Y. Zhao, M. Ball, C.-Y Chen

   Pages 217-247

9. Publish Subscribe Middleware

   • Lukasz Opyrchal, Atul Prakash

   Pages 249-285

10. Experimental Study of Scalability Enhancement for Reverse Logistics E-Commerce

    • Sarah M. Ryan, K. Jo Min, Sigurdur Olafsson

    Pages 287-312

11. Web-Based Distributed Multi-Agent Architecture for Implementing Value Nets

    • Soundar R. T. Kumara, Chad Dodd, Taioun Kim

    Pages 313-333

12. Back Matter

    Pages 335-338

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The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF's Scalable Enterprise Systems (SES) initiative, for which we were responsible in our successive terms in the division of Design, Manufacture and Industrial Innovation (DMII), was just such a venture. A collaborative effort spanning NSF's engineering and computer science directorates, SES sought to concentrate the energies of the academic engineering research community on developing a science base for designing, planning and controlling the extended, spatially and managerially distributed enterprises that have become the norm in the manufacture, distribution and sale of the products of U. S. industry. The of associated issues addressed included everything from management supply chains, to product design across teams of collaborating companies, to e-marketing and make-to-order manufacturing, to the information technology challenges of devising inter-operable planning and control tools that can scale with exploding enterprise size and scope. A total of 27 teams with nearly 100 investigators were selected from the 89 submitted proposals in the Phase I, exploratory part of the effort (see the list below). Seven of these were awarded larger multi-year grants to continue their research in Phase II. As the contents of this book amply illustrate, these investigations continue to flourish, with and without direct NSF support.

• Information System
• Internet
• Middleware
• computer science
• data mining
• information
• modeling

• Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, USA

  Vittal Prabhu, Soundar Kumara

• School of Industrial Engineering and Management, Oklahoma State University, Stillwater, USA

  Manjunath Kamath

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