This paper presents an original approach to load-oriented manufacturing control for job-shop scheduling, based on fuzzy theory. The model allows to cope with the pitfalls encountered by traditional approaches to job-shop scheduling in the definition of system parameters. In fact, traditional approaches to job-shop scheduling assume that system parameters are deterministically known ex-ante; on the contrary, the parameters values actually observed in the job-shop are often different due to the impact of unforeseen dynamics. As a consequence, the effectiveness of traditional approaches is undermined. In this paper the authors focus on the ‘‘machine output in the planning horizon’’ parameter and present a model allowing to represent that parameter as a neuro-fuzzy variable, whereas traditional approach represent it as a deterministic value. The case study carried out in a real manufacturing system and reported at the end of the paper shows the effectiveness of the proposed approach.
A Fuzzy model for Load-Oriented Manufacturing Control
CARIDI, MARIA;
2006-01-01
Abstract
This paper presents an original approach to load-oriented manufacturing control for job-shop scheduling, based on fuzzy theory. The model allows to cope with the pitfalls encountered by traditional approaches to job-shop scheduling in the definition of system parameters. In fact, traditional approaches to job-shop scheduling assume that system parameters are deterministically known ex-ante; on the contrary, the parameters values actually observed in the job-shop are often different due to the impact of unforeseen dynamics. As a consequence, the effectiveness of traditional approaches is undermined. In this paper the authors focus on the ‘‘machine output in the planning horizon’’ parameter and present a model allowing to represent that parameter as a neuro-fuzzy variable, whereas traditional approach represent it as a deterministic value. The case study carried out in a real manufacturing system and reported at the end of the paper shows the effectiveness of the proposed approach.File | Dimensione | Formato | |
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