Abstract

We present an optimization heuristic to solve the operation balancing and scheduling problem on a Flexible Manufacturing Cell. The investigated problem is based on the study of an industrial case study of the Robert Bosch enterprise. The considered manufacturing system is a multi-stage CNC machining cell. Cell operations are grouped in four stages. At each stage, multiple spindles simultaneously work on a single work-piece; consequently spindle collision problem has to be considered. When, at each stage, operations are completed, a rotation mechanism simultaneously transfers each work-piece to the next stage. The innovation aspect of the present work consists in the possibility to model the geometric constraints between operations in order to avoid spindle collisions at the same stage. The proposed heuristic approach aims to maximize the system throughput, reducing the machine total cycle time and respecting complex industrial manufacturing constraints (geometrical and synchronization constraints). A Genetic Algorithm approach has been developed to solve the addressed problem. A real case study set has been solved in order to show the suitability of our approach.

Autore Pugliese

• Grieco Antonio Domenico , Nucci Francesco

Tutti gli autori

• F. Nucci , A. Grieco

Titolo volume/Rivista

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Anno di pubblicazione

2011

ISSN

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ISBN

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Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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