EconPapers    
Economics at your fingertips  
 

Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment

Massimo Conti and Simone Orcioni
Additional contact information
Massimo Conti: Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60126 Ancona, Italy
Simone Orcioni: Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60126 Ancona, Italy

Energies, 2020, vol. 13, issue 11, 1-18

Abstract: Recently, the concept of “circular economy”, the design for end-of-life, the problem of reduction of waste of electronic and electrical equipment are becoming more and more important. The design of electronic systems for end-of-life considers the possibility of their repair, reuse and recycle, in order to reduce waste. This work proposes a new accurate model of failure probability density, that includes the failure probability of a used component in new equipment. The model has been tested, in conjunction with the International Electrotechnical Commission and Telcordia standard, in real industrial production. Eight years of historical faults have been analyzed and used to derive the fault models of the components. The model and analysis have been used for the analysis of real electronic products. The reuse of components could make an improvement to the reliability of the equipment.

Keywords: WEEE; reliability; reuse (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/11/2843/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/11/2843/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:11:p:2843-:d:366725

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2843-:d:366725