Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment

Joint Authors

López-Campos, M.
Kristjanpoller, F.
Viveros, P.
Pascual, R.

Source

Complexity

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-02-20

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Philosophy

Abstract EN

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.

American Psychological Association (APA)

López-Campos, M.& Kristjanpoller, F.& Viveros, P.& Pascual, R.. 2018. Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment. Complexity،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1133967

Modern Language Association (MLA)

López-Campos, M.…[et al.]. Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment. Complexity No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1133967

American Medical Association (AMA)

López-Campos, M.& Kristjanpoller, F.& Viveros, P.& Pascual, R.. Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment. Complexity. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1133967

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1133967