Agent-Based Manufacturing and Control Systems: New Agile by Massimo Paolucci

By Massimo Paolucci

The authors supply a pragmatic consultant to fill the space among study and business international. Agent criteria and methodologies from layout to implementation, with specified connection with making plans, scheduling and regulate platforms, are brought and associated with production details structures.

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Extra info for Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance

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41. , 56, 21, 2001. 42. Lerman, K. html. 43. , Design and mathematical analysis of agent-based systems, in Lecture Notes in Artificial Intelligence (LNAI 1871), Springer Verlag, 222, 2001. fm Page 23 Wednesday, September 22, 2004 9:54 AM 2 ISSUES IN DESIGNING AGENT-BASED MANUFACTURING SYSTEMS This chapter addresses the most important practical issues in designing agent-based manufacturing systems. After an introduction to the specific part of the information system in which software agents can find their most suitable applications in manufacturing, typical classes of manufacturing problems that can be faced by agent technology are considered and defined, mostly focusing on planning, scheduling, and control problem definitions.

The second step, the “problem definition” stage, takes this identified conflict in input to produce as output some abstract solution, which is usually related to some known problem type or a sequence of problem types. 3 shows a suite of problem types [20]. Once types have been identified and the problems have become well-defined ones, problem-solving methods allow transforming them into tasks. When the knowledge engineering process is aimed at designing an MAS rather than a knowledge-based system, each task should be implemented in one or more agents, possibly reusing agents.

Breuker [20] identified this process as a sequence of steps. The output of the first step, the “problem identification stage,” which is obtained from spontaneous, ill-defined problems, stems from a discrepancy between a current state and a norm state. This output results in the identification of a conflict between the desirable and the real behavior. The second step, the “problem definition” stage, takes this identified conflict in input to produce as output some abstract solution, which is usually related to some known problem type or a sequence of problem types.

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