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H.-S. Jacob Tsao Industrial and Systems Engineering

H.-S. Jacob Tsao Industrial and Systems Engineering. Ph.D. in Operations Research, 1984, UC Berkeley CAM Software Development Engineer, 1984-1986, Consilium, Mountain View, CA (Now an Applied Materials Company) Systems Engineer, 1986-1992, AT&T Bell Laboratories, Holmdel, NJ

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H.-S. Jacob Tsao Industrial and Systems Engineering

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  1. H.-S. Jacob TsaoIndustrial and Systems Engineering • Ph.D. in Operations Research, 1984, UC Berkeley • CAM Software Development Engineer, 1984-1986, Consilium, Mountain View, CA (Now an Applied Materials Company) • Systems Engineer, 1986-1992, AT&T Bell Laboratories, Holmdel, NJ • Assistant, Associate and Full Research Engineer, 1992 - present, UC Berkeley; part-time since 1999 • Associate Professor and GraduateAdvisor, Industrial and Systems Engineering, SJSU, 1999 - present Networked – Agents and Intelligent Software Agents Group (NISA)

  2. H.-S. Jacob TsaoIndustrial and Systems Engineering • Publications: • Books: • Entropy Optimization and Mathematical Programming, 1997 • Testing Component-based Software, to appear in 2003 • 30 Refereed Journal Papers • Areas of Interest: • Industrial Engineering • Information Engineering Networked – Agents and Intelligent Software Agents Group (NISA)

  3. Manufacturing Applications:Agent-based Intelligent Manufacturing • A Brief Review of Enabling Technologies • Business Needs and Impetus • Systems Requirements • Agent-based Intelligent Manufacturing: Applications Networked – Agents and Intelligent Software Agents Group (NISA)

  4. A Brief Review of the Enabling Technologies • Innovations in Information Engineering • 70’s: Data Processing (“Flat Files”) • 80’s: Information Systems (IS) – Real-time Database; Decision Support Systems • 90’s: Information Technology (IT) – Computer + Communication + GUI; Client-Server; Internet • 00’s: “Agents”? - Multi-agent Systems (MAS) Networked – Agents and Intelligent Software Agents Group (NISA)

  5. A Brief Review of the Enabling Technologies • Manufacturing Technologies • 80’s: Computer-aided Manufacturing (CAM) • 90’s: Computer-integrated Manufacturing (CIM) • 00’s: “Agent-based” Intelligent Manufacturing (AIM?) Networked – Agents and Intelligent Software Agents Group (NISA)

  6. A Brief Review of the Enabling Technologies • Software Development Paradigms • 70’s: Structured Analysis • 80’s: Entity-relationship; Relational Database • 90’s: Object-orientation; Software Components • 00’s: Agents; Multi-agent Systems (MAS)? • “Broker-oriented”agents • “Subject-oriented” agents: much more general Networked – Agents and Intelligent Software Agents Group (NISA)

  7. Business Needs and Impetus Competition in the marketplace and technology, etc., led to: • Globalization: Geographically Distributed • Complex Supply Chain (Value Chain): • Distributed among corporations • Distributed within a corporation • Short Product Life Cycle • Agile and Lean Manufacturing Networked – Agents and Intelligent Software Agents Group (NISA)

  8. Business Needs and Impetus • Agile and Lean Manufacturing to Support • Rapid market responsiveness: new product introduction and innovation • Supply Chain Management • Globalization • Features: • Strongly time-oriented • Widely distributed • Strongly diverse or heterogeneous: hardware, software, communication, security, engineering process, management, etc. Networked – Agents and Intelligent Software Agents Group (NISA)

  9. Requirements for Agent-based Intelligent Manufacturing The devil is in the details. • Accommodating Heterogeneous Environments • Efficient Interoperability • Open and Dynamic Structure • Integration of Planning, Operation and Control • Integration of Human with Software, Hardware and Systems • Inter-organizational Cooperation Networked – Agents and Intelligent Software Agents Group (NISA)

  10. Agent-based Intelligent Manufacturing: Applications • Agents to recognize and coordinate among various machines or subsystems of heterogeneous environments, as opposed to hard-coding coordination in CIM. (Broker-oriented) • Modeling a manufacturing enterprise as interaction among semi-autonomous agents, each with a degree of control over local resources or with different information requirements. (“Subject”-oriented) Networked – Agents and Intelligent Software Agents Group (NISA)

  11. Agent-based Intelligent Manufacturing: Applications • Integrated Factory Planning, Operation and Control, with both types of agents • Organizing the supply chain as a network of cooperating (“subject”-oriented) intelligent agents, equipped with (broker-oriented) agents to facilitate or enable the interaction and integration Networked – Agents and Intelligent Software Agents Group (NISA)

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