Abstract
Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm
Highlights
Manufacturing systems are changed through the years from high variety and low volume production, typical of job-shop production systems, to dedicated manufacturing lines characterized by low variety and high volume supporting the economies of scale
We propose a modified discrete firefly algorithm to be applied in the context of machine loading (ML) problem of flexible manufacturing systems (FMSs) in order to simultaneously reduce the system unbalance, that is the union of the underand over-utilized times with regard to the set of machines of the system, and to maximize the throughput, which is the maximization of the production rate and the system efficiency, according to given technological constraints
This paper proposes to apply a discrete firefly algorithm to the machine loading problem of the flexible manufacturing systems
Summary
Manufacturing systems are changed through the years from high variety and low volume production, typical of job-shop production systems, to dedicated manufacturing lines characterized by low variety and high volume supporting the economies of scale. In recent years among metaheuristics, interesting are the results obtained using the swarmbased approaches (Pandey, 2011; Yusof et al, 2014; Santuka et al, 2015) In summary it emerges that the ML problem in FMSs is a topic deeply analysed currently under investigation. With these premises, we propose a modified discrete firefly algorithm to be applied in the context of ML problem of FMSs in order to simultaneously reduce the system unbalance, that is the union of the underand over-utilized times with regard to the set of machines of the system, and to maximize the throughput, which is the maximization of the production rate and the system efficiency, according to given technological constraints (i.e. tool slots available and total machining time available).
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