Improving the efficiency of greasing operations with the lubrication management support system - a case study

Mariusz Piechowski; Ryszard Wyczółkowski; Waldemar Paszkowski; Artur Meller

doi:10.1016/j.ifacol.2024.08.125

Improving the efficiency of greasing operations with the lubrication management support system - a case study

Mariusz Piechowski
, Ryszard Wyczółkowski
, Waldemar Paszkowski
, Artur Meller

Katedra Budowy Maszyn (RMT/RMT7)

WSB Merito University in Poznań
Poznań University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

Abstrakt

This paper presents a lubrication management support system, built on a concept previously developed by the authors, which is currently being implemented in one of the industrial plants. This system enables the use of established Industry 4.0 solutions and allows us to reach the benefits of implementing intelligent solutions related to data analytics even before the transition from manual lubrication methods to automated methods. The system described uses tools such as RFID, AR, and IoT, allowing relatively simple, cost-effective, and direct involvement of maintenance personnel in both data collection and the use of modern technologies to support lubrication management tasks.

Język oryginału	angielski
Strony (od–do)	228-233
Liczba stron	6
Czasopismo	IFAC-PapersOnLine
Tom	58
Numer wydania	8
Identyfikatory DOI	https://doi.org/10.1016/j.ifacol.2024.08.125
Status publikacji	Opublikowano - 1 cze 2024
Wydarzenie	6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology, AMEST 2024 - Cagliari, Włochy Czas trwania: 12 cze 2024 → 14 cze 2024

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów

Uzyskaj dostęp do dokumentu

10.1016/j.ifacol.2024.08.125

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Cytowanie

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title = "Improving the efficiency of greasing operations with the lubrication management support system - a case study",

abstract = "This paper presents a lubrication management support system, built on a concept previously developed by the authors, which is currently being implemented in one of the industrial plants. This system enables the use of established Industry 4.0 solutions and allows us to reach the benefits of implementing intelligent solutions related to data analytics even before the transition from manual lubrication methods to automated methods. The system described uses tools such as RFID, AR, and IoT, allowing relatively simple, cost-effective, and direct involvement of maintenance personnel in both data collection and the use of modern technologies to support lubrication management tasks.",

keywords = "AR, IoT, Lubrication management, Maintenance 5.0, RFID, VR",

author = "Mariusz Piechowski and Ryszard Wycz{\'o}{\l}kowski and Waldemar Paszkowski and Artur Meller",

note = "Publisher Copyright: Copyright {\textcopyright} 2024 The Authors.; 6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology, AMEST 2024 ; Conference date: 12-06-2024 Through 14-06-2024",

year = "2024",

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doi = "10.1016/j.ifacol.2024.08.125",

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AU - Piechowski, Mariusz

AU - Wyczółkowski, Ryszard

AU - Paszkowski, Waldemar

AU - Meller, Artur

PY - 2024/6/1

Y1 - 2024/6/1

N2 - This paper presents a lubrication management support system, built on a concept previously developed by the authors, which is currently being implemented in one of the industrial plants. This system enables the use of established Industry 4.0 solutions and allows us to reach the benefits of implementing intelligent solutions related to data analytics even before the transition from manual lubrication methods to automated methods. The system described uses tools such as RFID, AR, and IoT, allowing relatively simple, cost-effective, and direct involvement of maintenance personnel in both data collection and the use of modern technologies to support lubrication management tasks.

AB - This paper presents a lubrication management support system, built on a concept previously developed by the authors, which is currently being implemented in one of the industrial plants. This system enables the use of established Industry 4.0 solutions and allows us to reach the benefits of implementing intelligent solutions related to data analytics even before the transition from manual lubrication methods to automated methods. The system described uses tools such as RFID, AR, and IoT, allowing relatively simple, cost-effective, and direct involvement of maintenance personnel in both data collection and the use of modern technologies to support lubrication management tasks.

KW - AR

KW - IoT

KW - Lubrication management

KW - Maintenance 5.0

KW - RFID

KW - VR

UR - https://www.scopus.com/pages/publications/85206203730

U2 - 10.1016/j.ifacol.2024.08.125

DO - 10.1016/j.ifacol.2024.08.125

M3 - Conference article

AN - SCOPUS:85206203730

SN - 2405-8971

VL - 58

SP - 228

EP - 233

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 8

T2 - 6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology, AMEST 2024

Y2 - 12 June 2024 through 14 June 2024

ER -

Improving the efficiency of greasing operations with the lubrication management support system - a case study

Abstrakt

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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