Matej Mencinger

Prof. Matej Mencinger

University of Maribor, Faculty of Civil Engineering, Transportation Engineering and Architecture
+2
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 September 2020 in Sustainability
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Journal Article
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Tomislav LetnikTomislav Letnik
Tomislav Letnik
MMMatej Mencinger
Matej Mencinger
Iztok PerušIztok Peruš
Iztok Peruš
Urban freight deliveries are often subject to many access restrictions which creates the need to establish a system of loading bays and to split the last mile delivery into driving and walking parts. A new model based on hard and soft clustering approach is developed to solve the loading bay assignment problem for efficient vehicle routing and walking in last mile delivery. The flexibility of the model is provided by the soft clustering approach based on different membership degrees of customers to loading bays. Especially for instances with large numbers of loading bays, soft clustering seems to give better results, it leads to higher flexibility of city logistics systems, minimal driving distances, and adequately short walking paths, which contribute to the goal of reaching sustainable urban freight deliveries.

9 December 2022 in Sustainability
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Tomislav LetnikTomislav Letnik
Tomislav Letnik
KHKatja Hanžič
Katja Hanžič
GLGiuseppe Luppino
Giuseppe Luppino
MMMatej Mencinger
Matej Mencinger
City logistics is subject to constant development, generated by new logistics trends and high customers’ expectations. With the aim of creating an effective, acceptable, and sustainable city logistics policy, it is therefore essential to understand logistics trends and their expected impact on the development of urban freight transport in the future. In this paper, we explore and compare the expectations of public authorities, business, and academia regarding the short-, medium-, and long-term impacts of different logistics trends on urban logistics. Following a literature review, the expert survey was used to assess the expected impact and time horizon. According to the respondents, “e-commerce”, “automated vehicles”, “electric vehicles”, “grey power logistics”, “omni-channel logistics”, and the “desire for speed” will have the greatest impact on urban freight transport in the future. An interesting observation concerns some differences of opinion between public and private stakeholders. In general, the business community believes that the identified trends will have a greater impact on urban logistics in a shorter period of time, while public authorities believe that the mentioned trends will have a less strong impact on urban logistics in a longer time scale. This shows the need for more active collaboration between them in the policy-making process.

19 December 2019 in Transport
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Journal Article
Open access
TLTomislav Letnik
Tomislav Letnik
IPIztok Peruš
Iztok Peruš
SBStane Božičnik
Stane Božičnik
MMMatej Mencinger
Matej Mencinger
The paper is dealing with the problem of finding the optimal number and location of Loading Bays (LBs) for efficient urban last mile deliveries. To solve the problem a multi-parametric model of the idealized urban area is introduced and applied to various instances of a rectangular urban grid structured zones. Multi-parametric approach is used to assess statistically the most relevant number and location of LBs. Computational and graphical results of the idealized model exhibit geometric patterns showing that the optimal Number of LBs (#LB) naturally tends to perfect squares. Moreover, even in case of generalized instances, at a selected number of LBs their distribution is not random but follows specific laws. The optimality is closely related to the prefixed (maximal) walking distance dmax, from the LB to the customer. Based on various simulations the existence and robustness of a descending convex dependence dmax = (#LB) is proven. The results might serve as a decision-making tool to determine the optimal number and location of LBs for any real-life city centre.

14 October 2020 in Applied System Innovation
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CCCiprian Chiruţă
Ciprian Chiruţă
EBEmilian Bulgariu
Emilian Bulgariu
JAJurij Avsec
Jurij Avsec
BFBrigita Ferčec
Brigita Ferčec
MMMatej Mencinger
Matej Mencinger
After the outbreak of COVID-19 in Italy, thousands of Romanian citizens who worked in Northern Italy, Spain or Germany returned to Romania. Based on the time-dependent susceptible–infected–recovered—SIR model, this paper compares the evolution of the COVID-19 disease between Romania and Italy, assuming that the parameter value of R0 in the time-dependent SIR model decreases to R1 < R0 after publicly announced restrictions by the government, and increases to a value of R2 < R1 when the restrictions are lifted. Among other things, we answer the questions about the date and extent of the second peak in Italy and Romania with respect to different values of R2 and the duration of the restrictions.

28 April 2024 in Mathematics
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BFBrigita Ferčec
Brigita Ferčec
MŽMaja Žulj
Maja Žulj
MMMatej Mencinger
Matej Mencinger
We consider a nine-parameter familiy of 3D quadratic systems, x˙=x+P2(x,y,z), y˙=−y+Q2(x,y,z), z˙=−z+R2(x,y,z), where P2,Q2,R2 are quadratic polynomials, in terms of integrability. We find necessary and sufficient conditions for the existence of two independent first integrals of corresponding semi-persistent, weakly persistent, and persistent systems. Unlike some of the earlier works, which primarily focus on planar systems, our research covers three-dimensional spaces, offering new insights into the complex dynamics that are not typically apparent in lower dimensions.

1 January 2018 in Electronic Journal of Qualitative Theory of Differential Equations
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Journal Article
Open access
MŽMaja Žulj
Maja Žulj
BFBrigita Ferčec
Brigita Ferčec
MMMatej Mencinger
Matej Mencinger