A decision support system to assure high performance maintenance service
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00545774" target="_blank" >RIV/67985556:_____/21:00545774 - isvavai.cz</a>
Result on the web
<a href="https://www.emerald.com/insight/content/doi/10.1108/JQME-11-2019-0107/full/html" target="_blank" >https://www.emerald.com/insight/content/doi/10.1108/JQME-11-2019-0107/full/html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1108/JQME-11-2019-0107" target="_blank" >10.1108/JQME-11-2019-0107</a>
Alternative languages
Result language
angličtina
Original language name
A decision support system to assure high performance maintenance service
Original language description
This study aims to propose a decision support system (DSS) for maintenance management of a service system, namely, a street cleaning service vehicle. Referring to the information flow management, the blockchain technology is integrated in the proposed DSS to assure data transparency and security. Design/methodology/approach: The DSS is designed to efficiently handle the data acquired by the network of sensors installed on selected system components and to support the maintenance management. The DSS supports the decision makers to select a subset of indicators (KPIs) by means of the Decision-Making Trial and Evaluation Laboratory method and to monitor the efficiency of performed preventive maintenance actions by using the mathematical model. Findings: The proposed maintenance model allows real-time decisions on interventions on each component based on the number of alerts given by sensors and taking into account the annual cost budget constraint. Research limitations/implications: The present paper aims to highlight the implications of the blockchain technology in the maintenance field, in particular to manage maintenance actions’ data related to service systems. Practical implications: The proposed approach represents a support in planning, executing and monitoring interventions by assuring the security of the managed data through a blockchain database. The implications regard the monitoring of the efficiency of preventive maintenance actions on the analysed components. Originality/value: A combined approach based on a multi-criteria decision method and a novel mathematical programming model is herein proposed to provide a DSS supporting the management of predictive maintenance policy.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20306 - Audio engineering, reliability analysis
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Quality in Maintenance Engineering
ISSN
1355-2511
e-ISSN
1758-7832
Volume of the periodical
27
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
20
Pages from-to
651-670
UT code for WoS article
000564445500001
EID of the result in the Scopus database
2-s2.0-85089512877