Navegando por Autor "Chiyoshi, Fernando Yassuo"

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    Analyzing an emergency maintenance system in the agriculture stage of a Brazilian sugarcane mill using an approximate hypercube method.
    (2018) Rodrigues, Lásara Fabrícia; Morabito, Reinaldo; Chiyoshi, Fernando Yassuo; Iannoni, Ana Paula; Saydam, Cem
    In this paper, we present and apply an approximate hypercube queuing method to analyze an emergency maintenance system within the agricultural stage of Brazil’s sugarcane industry. We incorporate differentiated service rates in the approximate hypercube method to deal with significant travel times as well as partial backup and priority in queue to mimic the dispatch policies of the system. We then applied this method using data from a case study conducted in an existing sugar and alcohol mill. We also investigated an alternative scenario for this system, as proposed by the company‘s managers, whereby the number of servers increases. The results showed that the method is an efficient way to investigate the original configuration as well as an alternative scenario for the case study. Furthermore, the method might be useful in larger applications and/or similar agro-industries.
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    Towards hypercube queuing models for dispatch policies with priority in queue and partial backup.
    (2017) Rodrigues, Lásara Fabrícia; Morabito, Reinaldo; Chiyoshi, Fernando Yassuo; Iannoni, Ana Paula; Saydam, Cem
    This work extends the hypercube queuing model to explicitly address users’ in-queue priorities, as well as the partial backup of servers. To reduce the computational burden an approximate method is also devel- oped. The study is motivated by an emergency maintenance service system found within the agricultural stage of the sugarcane agro-industry in Brazil. An example is used to illustrate the issues of priority in queue and partial backup. In order to show the importance and effectiveness of our proposed models we conducted additional experiments by varying the user arrival rates as well as eliminating the in-queue priorities. The study shows that selected adaptations and extensions of both the hypercube model and the approximate method are capable of representing similar emergency systems. The findings from the illustrative examples suggest promising perspectives for real-life applications in sugar and ethanol plants, and other agro-industries.