Wear of brake system components in various operating conditions of vehicle in the transport company

Świderski, Andrzej; Borucka, Anna; Jacyna-Gołda, Ilona; Szczepański, Emilian

doi:10.17531/ein.2019.1.1

Cited by 31 publications

(17 citation statements)

References 18 publications

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“…It is a value that optimally divides the set studied into two groups (in which the phenomenon occurs and in which it does not occur). It is determined using the Youden index (J) [22], according to the equation (17): Weak discrimination 0.5<AUC<0. 6 Insuflcient discrimination…”

Section: Logistic Regression Model Diagnosticsmentioning

confidence: 99%

“…The answer to the limitations formulated for linear models are non-linear models [12,13]. Due to their versatility and greater freedom in the selection of variables, they are used in many sectors [14,15], including transport [16,17]. Therefore, they have also become a tool used in this publication, which aimed primarily to indicate the possibility to mathematically analyze selected elements of the company's activity affecting the quality of services provided.…”

Section: Introductionmentioning

confidence: 99%

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Logistic regression in modeling and assessment of transport services

Borucka

2020

Open Engineering

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AbstractTransport companies operate in a dynamically developing and competitive market. Maintaining the already held position and further expansion requires adjusting the level of services provided to the needs and requirements of customers, as well as continuous surveying, monitoring and adjusting the implemented strategy. There are different methods for such an analysis. This article proposes logistic regression. The research was conducted on the basis of a distribution and trade company dealing with the supply of automotive spare parts. As the most profitable group of customers are local car repair shops, it was this group that was subject to analysis.The quality of service assessment was considered from the point of view of delivery time. The dichotomous form of the predictor taking two values - late and on-time delivery - was determined. From among the possible ones, regressors whose influence was statistically significant and whose modification was possible were selected. The research showed which of them (and how strongly) affect the dependent variable, which allowed for modification of strategy and implementation of new solutions increasing the number of satisfied customers.

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Section: Logistic Regression Model Diagnosticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Logistic regression in modeling and assessment of transport services

Borucka

2020

Open Engineering

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“…In addition, it is planned to extend the model with aspects of vehicles exploitation by users. Research that will be used to build the mapping is presented in the works (Świderski et al, 2018, Świderski et al, 2019Wasiak et al, 2019). The model can also be built in a different approach, namely determining the probability of occurrence of an event and the related break, the comparison of these two approaches will be the subject of other research.…”

Section: The Mathematical Formulation Of Fleet Management Model With mentioning

confidence: 99%

Safety factor in the sustainable fleet management model

Tomasz

Szczepański

Jacyna

2019

AoT

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In the era of rapidly changing market and consumer needs, there are dynamic changes in the services offered. This also applies to the car fleet market. Currently, the approach to owning a vehicle is changing to other forms such as rental or subscription. Different types of funding are conducive to changes in the fleet management industry. More and more sophisticated services are offered for corporate clients, but also private customers. In the context of these changes, the approach to different aspects of vehicle use is also clarified, including what has been noticeable in recent years, increased interest in road safety, environmental issues and most importantly costs of use and possession of the vehicle. This puts high demands on fleet managers who sustainably need to match the structure of their fleets to the needs and capabilities of their customers while taking into account safety and ecology issues. This is a complicated task that requires decision-making assistance. This article addresses the support of the fleet manager decision, taking into account the sustainable management model. The article aimed to develop a model that takes into account the aspects of safety and ecology from the operator-financier the point of view. The result of the article is to provide a decision-making tool for the selection of vehicles and drivers, taking into account their characteristics to accomplish their tasks. The work presents the problem of fleet management, shows the characteristics of different forms of financing and the impact of market trends on the current approach to these problems. The analysis of safety aspects to the possibility of using different methods affecting its level was then presented. Another element of the article is a mathematical model of the problem of resources assignment for tasks. The developed model is universal and can be used for evaluation and optimisation. To this end, the function of the criterion has been formulated, taking into account the aspects of safety, ecology and financial aspects. It also takes into account the randomness of adverse events and the duration of the remaining appropriations in the out-of-order state. This Model can be used for the risk assessment of the driving staff. The developed model was implemented in the Flexsim environment for a computational example for a trading company. Computational experiments have indicated the correctness of the model and its high application potential, as well as further directions of model development to support complex management processes carried out by fleet managers.

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“…As regards the flow of means of transport, the influence of factors that may hinder it is also analyzed, e.g. road accidents (Czyżycki, Hundert, Klóska, 2007;Świderski, Borucka, Jacyna-Gołda, Szczepański, 2019;Borucka, 2014) or congestion in urban traffic . Readiness applies to the facilities, systems as well as the staff operating them.…”

Section: Introductionmentioning

confidence: 99%

Arima Model Used to Analyze the Demand for Swimming Pool Services

Pawlisiak

2019

CER

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Many factors influence customer preferences among those who choose active leisure. A wide range of market productsmakes for many opportunities, and sports facilities are required to be fully prepared to provide services. It is helpful to create forecasts that enable to determine the predictable number of clients. An example prediction made with respect to swimming pools is presented in this article. For this purpose, the ARIMA model was used, based on the assumption that the value of the endogenous variable is affected by the value of this variable laggedin time.

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Wear of brake system components in various operating conditions of vehicle in the transport company

Cited by 31 publications

References 18 publications

Logistic regression in modeling and assessment of transport services

Logistic regression in modeling and assessment of transport services

Safety factor in the sustainable fleet management model

Arima Model Used to Analyze the Demand for Swimming Pool Services

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