In the actual economic context flexibility, which is the capability of a system to adapt to changes, is becoming one of the most critical factor of success for the manufacturing industry. For this reason the design and the management of flexible manufacturing systems are crucial and important issues. An integrated and optimizing iterative process of plan and control of a multi-stage and multi-cellular flexible manufacturing system, based on simulation tools, has been developed and is illustrated. A significant case from automotive industry is presented. It involves a very large set of entities and parameters based on static (analytical) and dynamic integrated modelling. The efficiency and the effectiveness of simulation technique, finalized to the strategic and operative decision-making process, emerge. A set of different operating scenarios have been simulated in order to support the plant layout design, jobs assignment and scheduling on human and machine resources, technological cycle design, batch sizing, interoperational buffer sizing. Significant results are obtained validating the model and its related dynamic approach.
AN INTEGRATED OPTIMIZATION PROCESS FOR THE PRODUCTION PLANNING AND CONTROL OF A FLEXIBLE MANUFACTURING SYSTEM
GAMBERI, MAURO;
2003
Abstract
In the actual economic context flexibility, which is the capability of a system to adapt to changes, is becoming one of the most critical factor of success for the manufacturing industry. For this reason the design and the management of flexible manufacturing systems are crucial and important issues. An integrated and optimizing iterative process of plan and control of a multi-stage and multi-cellular flexible manufacturing system, based on simulation tools, has been developed and is illustrated. A significant case from automotive industry is presented. It involves a very large set of entities and parameters based on static (analytical) and dynamic integrated modelling. The efficiency and the effectiveness of simulation technique, finalized to the strategic and operative decision-making process, emerge. A set of different operating scenarios have been simulated in order to support the plant layout design, jobs assignment and scheduling on human and machine resources, technological cycle design, batch sizing, interoperational buffer sizing. Significant results are obtained validating the model and its related dynamic approach.
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