Reliability assessment methodology for multiproduct and flexible industrial process

Kristjanpoller, Fredy; Crespo, Adalberto Nobiato; López-Campos, Mónica; Viveros, Pablo; Grubessich, Tomás

doi:10.1201/9781315374987-166

Cited by 3 publications

(2 citation statements)

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“…The failure behavior of plants and equipment is not totally explained by accurate causes assigned to preset conditions, but it varies depending on the characteristics of the use of each element within the system [2]. Time is the most common variable to determine the behavior and remaining life of components and equipment; however, empirical studies have shown that the behavior of the failure rate depends largely on the type of job, workload, and the characteristics of the products (or raw material) which are produced or processed [3][4][5][6][7]. On the other hand, within the environment of the Industry (4) 0 concept, manufacturing has experienced a growth on operations and data volume [8].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is interesting to model this behavior, using for this the support of the existing reliability theory, taking into account the difference in the intrinsic properties of the multifunction equipment. To this aim, this proposal is based on addressing studies related to the analysis of Multistate Systems (MSS) [10,11] and by suitable adaptation achieving a common and widespread valid approach for a multifunction production process [7].…”

Section: Introductionmentioning

confidence: 99%

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Reliability Assessment Methodology for Massive Manufacturing Using Multi‐Function Equipment

et al. 2018

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Experience reveals that reliability varies depending on the characteristics of operation. The manufacturing process based on multifunction equipment gives a usual case of variation in operating conditions. This work presents a methodology for the reliability analysis of multifunction processes, using the RCM approach, and a modification of the Universal Generating Function (UGF) under a massive manufacturing context. The result is a characterization of reliability, for each piece of equipment and for the production system. The methodology is applied in a workshop of a textile industry, where there is prior evidence that the failure behavior varies according to the type of function executed by multifunction machines.

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