Intelligent Agent-Based Operations Management (Innovative by Sophie d'Amours, Alain Guinet

By Sophie d'Amours, Alain Guinet

Numerous makes use of of clever agent software program inside a creation method are tested, as are their functions to useful business difficulties.

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The scheduling identification that is connected to the e-OCEA database. Based on the definition of product routings, this part identifies the associated scheduling problems, provides bibliographical references and eventually appropriated algorithms to solve the scheduling problem. Figure 1. 0, running under the Windows NT environment [THI 00]. It is connected to the e-OCEA database by an ODBC driver and uses the JDBC technology. The structure of DeSAP allows two different modes of execution: an Applet mode that is a distant utilization via HTML pages and an autonomous mode that enables local execution on the user's computer.

The transport resources are seldom specified. Only the notation proposed in [LIU 96] presents a more realistic approach. It offers "standard configurations" involving transport resources, but with no regard to the resources number or the inter-resources connection. The DeSAP analyser relies on a notation that is generated from an initial definition of three categories of basic elements: processing resources, handling resources and arcs associating processing resources with handling resources [MAR 99].

The capacities of its stocks are (0, 1, 0) with no time bound. 2). It represents the interaction of this resource with other complex structures in the FMS. In this case the machine considered has no direct contact with other analysed complex structures (N stands for None, otherwise E for Exchange). Handling resources are elements ensuring the transfer of the parts between processing resources: AGV, conveyor, belt, robot, arm manipulator, palletiser, and crane etc. They are gathered in a pool if they obey the two following conditions: to have identical characteristics, to be able to ensure the same transport.

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