In the economic environment of recent years management in modern organizations has had to make flexible responses to constantly changing new product lines and product varieties. Flexibility, which is the capability of a system to adapt to changes made to it, is becoming one of the most critical factors for success in manufacturing industry. In this context, the design and the management of flexible manufacturing systems (FMSs) are crucial and important issues. This paper presents an innovative, integrated, and optimising iterative process which supports the planning and control of a multi-stage and multi-cellular FMS. It is based on the simultaneous application of simulation tools and heuristic techniques. A set of different operating scenarios can be simulated in order to support the plant layout design, jobs assignment, jobs scheduling on manufacturing resources, technological cycle design, batch sizing, and interoperational buffer sizing. The proposed framework has been applied to the optimisation of a manufacturing system from the Italian automotive industry. The effectiveness of simulation techniques, aimed at the strategic and operative decision-making process, emerges.
MANZINI R., PERSONA A., REGATTIERI A. (2006). Framework for designing and controling a multicellular flexible manufacturing system. INTERNATIONAL JOURNAL OF SERVICES AND OPERATIONS MANAGEMENT, 2, 1-21 [10.1504/IJSOM.2006.009031].
Framework for designing and controling a multicellular flexible manufacturing system
MANZINI, RICCARDO;PERSONA, ALESSANDRO;REGATTIERI, ALBERTO
2006
Abstract
In the economic environment of recent years management in modern organizations has had to make flexible responses to constantly changing new product lines and product varieties. Flexibility, which is the capability of a system to adapt to changes made to it, is becoming one of the most critical factors for success in manufacturing industry. In this context, the design and the management of flexible manufacturing systems (FMSs) are crucial and important issues. This paper presents an innovative, integrated, and optimising iterative process which supports the planning and control of a multi-stage and multi-cellular FMS. It is based on the simultaneous application of simulation tools and heuristic techniques. A set of different operating scenarios can be simulated in order to support the plant layout design, jobs assignment, jobs scheduling on manufacturing resources, technological cycle design, batch sizing, and interoperational buffer sizing. The proposed framework has been applied to the optimisation of a manufacturing system from the Italian automotive industry. The effectiveness of simulation techniques, aimed at the strategic and operative decision-making process, emerges.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.