Dynamic reconfiguration and simulation of manufacturing systems using agents

Purpose – Conventionally, various levels of decisions with regard to production are made in a number of sequential stages such as system design, production/process planning, production scheduling, system reconfiguration and system restructure. This paper aims to present an integrated approach for modelling, restructuring and simulating manufacturing systems to suit changing manufacturing situations as quickly as possible.Design/methodology/approach – An agent‐based approach is employed where each manufacturing resource is represented by an agent. Simply speaking, the approach enables the machines in a manufacturing system to manage themselves efficiently and effectively.Findings – The agent‐based modelling and interaction approach enables manufacturing resources to be allocated dynamically in an optimal manner. The modelling approach also enables alternative system configurations to be identified and evaluated using distributed discrete event simulation system. Resource allocation and manufacturing system...

[1]  Ming Kim Lim,et al.  Dynamically Integrated Manufacturing Systems (DIMS)—A Multiagent Approach , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[2]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.

[3]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[4]  Paul Valckenaers,et al.  Towards a novel manufacturing control principle , 1999 .

[5]  Jennifer Bigus,et al.  Constructing intelligent agents using JAVA , 1998 .

[6]  Luca Ferrarini,et al.  Computer Aided Design of Logic Controllers with Petri Nets , 1995 .

[7]  Kwangyeol Ryu,et al.  Modeling and specifications of dynamic agents in fractal manufacturing systems , 2003, Comput. Ind..

[8]  Satish K. Tripathi,et al.  Parallel and distributed simulation of discrete event systems , 1994 .

[9]  Ian Witten,et al.  Data Mining , 2000 .

[10]  Mooyoung Jung,et al.  Flexible process sequencing using Petri net theory , 1995 .

[11]  H. V. Parunak Chapter 10 – Manufacturing Experience with the Contract Net , 1987 .

[12]  Pramod P. Khargonekar,et al.  Modular logic controllers for machining systems: formal representation and performance analysis using Petri nets , 1999, IEEE Trans. Robotics Autom..

[13]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[14]  Nicholas R. Jennings,et al.  ARCHON: framework for intelligent cooperation , 1994 .

[15]  James Odell Agent-Based Manufacturing: A Case Study , 2002, J. Object Technol..