ISSN 1507-2711
JOURNAL DOI: dx.doi.org/10.17531/ein

JCR Journal Profile


Członek(Member of): Europejskiej Federacji Narodowych Towarzystw Eksploatacyjnych  - European Federation of National Maintenance Societies  Wydawca(Publisher):Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne (Warszawa) - Polish Maintenance Society (Warsaw)   Patronat Naukowy(Scientific supervision): Polska Akademia Nauk o/Lublin  - Polish Akademy of Sciences Branch in Lublin  Członek(Member of): Europejskiej Federacji Narodowych Towarzystw Eksploatacyjnych  - European Federation of National Maintenance Societies


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 All accepted articles are published Open Access under the Creative Commons Licence: CC-BY 4.0

Publisher:
Polish Maintenance Society
(Warsaw)

Scientific supervision:
Polish Academy of Sciences Branch in Lublin

Member of:
European Federation
of National Maintenance Societies


Attention!

In accordance with the requirements of citation databases, proper citation of publications appearing in our Quarterly should include the full name of the journal in Polish and English without Polish diacritical marks, i.e. "Eksploatacja i Niezawodnosc – Maintenance and Reliability".


 

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MOST CITED

Update: 2021-07-01

1. COMPUTER-AIDED MAINTENANCE AND RELIABILITY MANAGEMENT SYSTEMS FOR CONVEYOR BELTS
By: Mazurkiewicz, Dariusz

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume: 16   Issue: 3   Pages: 377-382   Published: 2014

Times Cited: 59
2. ON APPROACHES FOR NON-DIRECT DETERMINATION OF SYSTEM DETERIORATION
By: Valis, David; Koucky, Miroslav; Zak, Libor

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume 14, Issue: 1   Pages: 33-41   Published: 2012

Times Cited: 53
3. A NEW FAULT TREE ANALYSIS METHOD: FUZZY DYNAMIC FAULT TREE ANALYSIS
By: Li, Yan-Feng; Huang, Hong-Zhong; Liu, Yu; et al.

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume 14, Issue: 3 Pages: 208-214 Published: 2012

Times Cited: 51
4. INNOVATIVE METHODS OF NEURAL RECONSTRUCTION FOR TOMOGRAPHIC IMAGES IN MAINTENANCE OF TANK INDUSTRIAL REACTORS
By: Rymarczyk, Tomasz; Klosowski, Grzegorz

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume: 21 Issue: 2 Pages: 261-267 Published: 2019

Times Cited: 50
5. APPLICATION OF NEURAL RECONSTRUCTION OF TOMOGRAPHIC IMAGES IN THE PROBLEM OF RELIABILITY OF FLOOD PROTECTION FACILITIES
By: Rymarczyk, Tomasz; Klosowski, Grzegorz

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume: 20 Issue: 3 Pages: 425-434 Published: 2018

Times Cited: 45
6. ASSESSMENT MODEL OF CUTTING TOOL CONDITION FOR REAL-TIME SUPERVISION SYSTEM
By: Kozlowski, Edward; Mazurkiewicz, Dariusz; Zabinski, Tomasz; Prucnal, Slawomir; Sep, Jaroslaw

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume: 21 Issue: 4 Pages: 679-685 Published: 2019

Times Cited: 40
7. PREDICTING THE TOOL LIFE IN THE DRY MACHINING OF DUPLEX STAINLESS STEEL
By: Krolczyk, Grzegorz; Gajek, Maksymilian; Legutko, Stanislaw

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume: 15 Issue: 1 Pages: 62-65 Published: 2013

Times Cited: 39
8. MAINTENANCE DECISION MAKING BASED ON DIFFERENT TYPES OF DATA FUSION
By: Galar, Diego; Gustafson, Anna; Tormos, Bernardo; et al.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY 
Volume 14, Issue: 2   Pages: 135-144   Published:2012

Times Cited: 38
9. TESTS OF EXTENDABILITY AND STRENGTH OF ADHESIVE-SEALED JOINTS IN THE CONTEXT OF DEVELOPING A COMPUTER SYSTEM FOR MONITORING THE CONDITION OF BELT JOINTS DURING CONVEYOR OPERATION
By: Mazurkiewicz, Dariusz

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Issue: 3 Pages: 34-39 Published: 2010

Times Cited: 37
10. RELIABILITY ANALYSIS OF RECONFIGURABLE MANUFACTURING SYSTEM STRUCTURES USING COMPUTER SIMULATION METHODS
By: Gola, Arkadiusz

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
Volume 21, Issue: 1, Pages: 90-102, Published: 2019

Times Cited: 36

 

 



Task „Implementation of procedures ensuring  the originality of scientific papers published in the quarterly „Eksploatacja i Niezawodność – Maintenance and Reliability” financed under contract 532/P-DUN/2018 from the funds of the Minister of Science and Higher Education for science dissemination activities.


Paulina Owczarek

Badanie wpływu czasu wykorzystania samochodów kategorii n1 na efektywność ekonomiczną ich eksploatacji

Rozważa się efektywność eksploatacji samochodów ciężarowych o DMC < 3,5 tony. Są to pojazdy należące do kategorii N1 (według Dyrektywy 2007/46/WE) zwykle nazywane samochodami dostawczymi. Do prowadzonej analizy efektywności wykorzystano wyniki obserwacji z realizacji zleceń przewozowych w 7 firmach transportowych z sektora MŚP. Grupa badawcza objęła 24 pojazdy, które wykonywały zadania transportowe w strefie miejskiej i w najbliższym otoczeniu miasta. Informacje gromadzono w cyklach miesięcznych. Podczas analizy efektywności ekonomicznej zastosowano kilka miar przychodu (bezwzględny i względny). Obliczenia prowadzono przy wykorzystaniu modelu procesu eksploatacji pojazdów w postaci sieci neuronowej, w której brano pod uwagę zbiór 12 zmiennych wejściowych i 3 zmienne wyjściowe. Stosując program komputerowy Statistica 13.3 oraz zdefiniowanie grupy i czynniki opisujące proces realizacji poszczególnych zadań transportowych, opracowany model sieci neuronowej umożliwił poszukiwanie wpływu wybranych czynników eksploatacyjnych na efektywność ekonomiczną samochodów kategorii N1. Przeprowadzone obliczenia pokazały istotny wpływ liczby dni pracy pojazdów w miesiącu, masę ładunku, a także porę roku. Uzyskane wyniki obliczeń pokazały specyficzne cechy wpływu liczby dni pracy na przychód w firmie transportowej. Wzrost liczby dni pracy sprzyja wzrostowi przychodu w sposób ograniczony, a to ograniczenie zależy m.in. od pory roku.

Analysis of the impact of the use time of n1 motor vehicles on the economic efficiency of their maintenance

The efficiency of operation of motor vehicles with a DMC (Permissible Laden Mass) <3.5 tonnes is considered. These are vehicles belonging motor vehicles of category N1, usually referred to as delivery vehicles. The results of observations on the implementation of transport orders in 7 transport companies from the MŚP (Small and Middle-size Companies) sector were used to conduct the effectiveness analysis. The research group covered 24 vehicles that implementation transport orders in the urban zone and in the immediate vicinity of the city. Information was collected on a monthly basis.During the analysis of economic efficiency the income measures (absolute and relative) were used. The calculations were carried out using the model of the vehicle operation process in the form of a neural network, in which a set of 12 input variables and 3 output variables were taken into account. Using the Statistica 13.3 computer program and defining the group and factors describing the process of implementation of individual transport tasks, the developed neural network model enabled searching for the impact of selected operational factors on the economic efficiency of N1 category cars.The calculations showed a significant impact of the number of vehicle days in a month, the weight of the load, as well as the time of year. The obtained calculation results showed the specific features of the impact of the number of working days on revenue in a transport company. The increase in the number of working days favors the increase in income in a limited way, and this restriction depends, among others since the time of year.

 

Evaluation of light commercial vehicles operation process in a transport company using the regression modelling method

This paper presents an analysis of the results of daily observations from the execution of transport orders by three types of vehicles over a period of 2 years. The purpose of the research was to evaluate the operation process and determine the influence of important technical and operational variables on the economic efficiency of the operation process. A set of 7 quantitative variables, previously not considered in the evaluation of the commercial vehicle operation process, was subjected to statistical data analysis. An indicator analysis and evaluation of the intensity of use of the following types of vehicles was conducted: Renault Master, Fiat Ducato and Citroen Jumper. Based on the results of the research, the vehicle with the highest efficiency was determined and possible assumptions of the strategy applied in the company were indicated. The analysis and evaluation of vehicle efficiency gave rise to the identification of independent variables determining the company's income. Using the indicator method and the multivariate regression model, transport companies can evaluate the efficiency of transport tasks undertaken.


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