Agent-based intelligent system development for decision support in chemical process industry

This paper presents an agent-based intelligent system to support coordinate manufacturing execution and decision-making in chemical process industry. A multi-agent system (MAS) framework is developed to provide a flexible infrastructure for the integration of chemical process information and process models. The system comprise of a process knowledge base and a group of functional agents. Agents in the system can communicate and cooperate with each other to exchange and share information, and to achieve timely decisions in dealing with various scenarios in process operations and manufacturing management. Process simulation, artificial intelligent technique, rule-based decision supports are integrated in this system for process analysis, process monitoring, process performance prediction and operation suggestion. The implementation of this agent-based system was illustrated with two case studies, including one application in process monitoring and process performance prediction for a chemical process and one application in de-bottlenecking of a site utility system.

[1]  Keith L. Clark,et al.  A multi-agent system for distributed information retrieval on the World Wide Web , 1997, Proceedings of IEEE 6th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[2]  Dipti Srinivasan,et al.  An Introduction to Multi-Agent Systems , 2010 .

[3]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[4]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[5]  Y. Shoham.  Introduction to Multi-Agent Systems , 2002 .

[6]  Nicholas R. Jennings,et al.  Software Engineering with Agents: Pitfalls and Pratfalls , 1999, IEEE Internet Comput..

[7]  Sigurd Skogestad,et al.  Application of plantwide control to the HDA process. I-steady-state optimization and self-optimizing control , 2007 .

[8]  Nicholas R. Jennings,et al.  Using Archon to Develop Real-World DAI Applications, Part 1 , 1996, IEEE Expert.

[9]  Zhigang Shang,et al.  A transhipment model for the optimisation of steam levels of total site utility system for multiperiod operation , 2004, Comput. Chem. Eng..

[10]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[11]  Monica S. Lam,et al.  Jade: a high-level, machine-independent language for parallel programming , 1993, Computer.

[12]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[13]  Hyacinth S. Nwana,et al.  Software agents: an overview , 1996, The Knowledge Engineering Review.

[14]  Peter Stone,et al.  Agent-based supply chain management , 2004, AAMAS 2004.

[15]  John Fox,et al.  The Knowledge Engineering Review , 1984, The Knowledge Engineering Review.

[16]  Michael Schreckenberg,et al.  A multi-agent system for on-line simulations based on real-world traffic data , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[17]  Miriam Cunningham,et al.  Building the knowledge economy : issues, applications, case studies , 2003 .

[18]  Gregory R. Olsen,et al.  SHADE: Technology for Knowledge-based Collaborative Engineering , 1993 .

[19]  Xue Zhong Wang,et al.  A multi-agent system for chemical supply chain simulation and management support , 2002, OR Spectr..

[20]  Jeffrey M. Bradshaw,et al.  KAoS: toward an industrial-strength open agent architecture , 1997 .

[21]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[22]  Agostino Poggi,et al.  JADE: a FIPA2000 compliant agent development environment , 2001, AGENTS '01.

[23]  Jeffrey M. Bradshaw,et al.  Software agents , 1997 .

[24]  Timothy W. Finin,et al.  A Multi-Agent System for Enterprise Integration , 1998, PAAM.

[25]  Kuo-Ming Chao,et al.  Knowledge sharing and reuse for engineering design integration , 1998 .

[26]  I. Karimi,et al.  Agent-based supply chain management—1: framework , 2002 .

[27]  Rashmi Pandya.  Concept formation and knowledge revision by Stefan Wrobel, Kluwer Academic, Netherlands, 1994, pp 240, £57.75, ISBN 079239500X , 1996, Knowl. Eng. Rev..

[28]  Mark R. Cutkosky,et al.  PACT: an experiment in integrating concurrent engineering systems , 1993, Computer.