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Cross-country analysis of supply chain management drivers for small and medium-sized enterprises

Santi Setyaningsih Katalin Czakó Tihana Vasic Peter Kelle

Publication Name: Polish Journal of Management Studies

Publication Date: 2021-01-01

Volume: 23

Issue: 1

Page Range: 352-369

Description:

Supply Chain Management (SCM) drivers are the key factors in successful SCM strategy implementation. SMEs with limited resources need to focus on the top drivers to improve performance and competitiveness. The paper explores which driver factors have the largest importance according to the opinion of the top managers of SMEs. Two developing countries were compared which have different supply chain environments mainly due to their geographical structure. Information from top managers of 105 Hungarian and 124 Indonesian SMEs was collected using an online questionnaire. The data was analysed using statistical methods. This study is the first to rank SCM drivers in a quantitative study comparing SMEs in different supply chain environments. The findings reveal that from 22 driver factors both countries perceive the same top 10, however in a different ranking order. Improvement of customer satisfaction and information dissemination are the top two drivers, which are highly correlated.

Open Access: Yes

DOI: 10.17512/pjms.2021.23.1.22

A Comprehensive Model for the Assessment of Digitalization Transformation in Supply Chain Management †

László Buics Ngoc Quynh Tran Nguyen

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The rise of Industry 4.0 has made digital transformation a critical element of modern supply chain management, offering organizations a pathway to competitive advantage. While the prior literature has examined aspects of digitalization, few studies present a comprehensive view of the transformation process through to its practical application. This study proposes and aims to validate a digital transformation model developed by the author, based on a systematic literature review of 284 articles from Scopus and Web of Science. The model outlines a progression from data management to the integration of enabling technologies, culminating in enhanced supply chain decision-making. It introduces three key metrics—readiness, adoption, and Digital Maturity—to guide companies through distinct stages of transformation. Validation will be conducted using a mixed-methods approach, combining expert interviews and a quantitative survey with SCM professionals. This study offers both a theoretical framework and practical roadmap to support organizations in evolving their digital transformation strategies.

Open Access: Yes

DOI: 10.3390/engproc2025113064

Emission analysis of liquefied natural gas and diesel heavy-duty trucks using on-board monitoring method

Gergő Sütheö Marton Jagicza Balázs Baráth

Publication Name: Journal of Ecological Engineering

Publication Date: 2025-01-01

Volume: 26

Issue: 2

Page Range: 258-271

Description:

Environmental protection and the reduction of greenhouse gas (GHG) emissions are becoming top priorities in the mobility sector especially in heavy-duty truck (HDT) sector. In recent years, numerous regulations, targets, and initiatives have been introduced, all of which strongly promote the reduction of carbon-dioxide (CO2) emissions, the adoption of eco-friendly alternatives, and the use of renewable energy sources. The study compares CO2 emissions and fuel consumption between conventional diesel and liquefied natural gas (LNG) heavy-duty vehicles (HDVs) from the same original equipment manufacturer (OEM). The research was conducted on multiple levels, with a primary focus on control based on test track measurements. This was preceded by a simulation phase and followed by public road measurement-based validation process. In this study, we used the onboard monitoring (OBM) emission analysis method, a cost-effective and accurate process where data was recorded from the fleet management system (FMS) using controller area network (CAN) messages. The results are presented in several stages from simulation to data validation. Our research represents a unique study in the field of HDVs, as the measurements were conducted on a test track, supported by simulations and public road tests. The results of the project clearly demonstrate that gas technology can contribute to reducing GHG emissions in HDVs, and LNG provides a reliable alternative for long-distance transportation.

Open Access: Yes

DOI: 10.12911/22998993/195574

Municipal Household Waste Management Methodologies in the EU Countries: A Reverse Logistics Benchmarking Approach

Edit Süle László Buics Marah Almelhem

Publication Name: Lecture Notes on Multidisciplinary Industrial Engineering

Publication Date: 2025-01-01

Volume: Part F4026

Issue: Unknown

Page Range: 100-109

Description:

Through the application of a reverse logistics benchmark approach, this paper aims to investigate prevailing waste management practices in the European Union (EU) countries. In detail, it will analyze existing waste management practices, identify successful efforts, and identify areas for improvement within the EU region, in order to answer how can different collection waste management practices promote sustainability and integrate with reverse supply network? In this article, a structured literature review is carried out to examine the existing literature background, and public reports are collected and analyzed published by EU nations on waste management. The aim of the article is to understand their current state and evaluate the applicability of reverse logistics techniques in enhancing waste collection, recycling, and disposal. By answering the research question, the examination can provide valuable insights and recommendations for policymakers, as well as those involved in managing waste or stakeholders with an interest in enhancing the sustainability and efficiency of waste management practices in EU countries.

Open Access: Yes

DOI: 10.1007/978-3-031-80330-7_11

Effects of walking training with and without a robot and standard care on clinical and mobility outcomes: A randomized clinical trial in acute ischemic stroke patients

Tamás Haidegger Tibor Hortobágyi József Tollár Péter Prukner Istvan Drotar Bence Csutorás Nándor Prontvai Klaudia Széphelyi Blanka Törő Szilvia Kóra

Publication Name: Experimental Gerontology

Publication Date: 2025-10-15

Volume: 210

Issue: Unknown

Page Range: Unknown

Description:

Background: Stroke incidence rises with age. A stroke can severely affect walking ability, requiring therapy. Robot-assisted walking therapy (ROB) has been advocated as one form of walking rehabilitation in stroke patients. However, its comparative efficacy remains controversial and three-group comparisons are scant. We compared the effects of ROB, walking training therapy without a robot (WTT) and standard treatment therapy (STT) on clinical and mobility outcomes in acute ischemic stroke patients. Methods: Individuals (n = 45, 71 % males, age 64.4y ±6.34), who have recently experienced an ischemic stroke, were randomized to ROB, WTT or STT. Clinical and mobility outcomes were assessed before and after each intervention (3 weeks, 5 sessions/week) and after 5 weeks of no-intervention follow-up. Results: Outcomes did not differ between groups at baseline (p > 0.05). Modified Rankin Scale (primary outcome), improved (p < 0.05) after ROB and WTT vs. STT. These improvements were retained relative to baseline (p < 0.05) after follow-up. Barthel index, Berg Balance Scale, 10-m walking speed, the distance while walking with and without the robot for six minutes, and center pressure velocity in standing improved most after ROB (all p < 0.001), exceeding the changes after WTT which in turn were greater than the changes after STT (p ≤ 0.040). Conclusion: Older adults shortly after an ischemic stroke can quickly learn to walk with a soft robot and retain substantial clinical and mobility improvements at follow-up.

Open Access: Yes

DOI: 10.1016/j.exger.2025.112882

Measurement and simulation of magnetic flux density, a comparative study

Miklós Kuczmann Gergely Friedl

Publication Name: Pollack Periodica

Publication Date: 2014-04-01

Volume: 9

Issue: 1

Page Range: 133-144

Description:

The paper presents a modified version of the T.E.A.M. Problem No. 32 of the Compumag Society. The original problem is a measurement arrangement to study the magnetic flux density distribution inside an EI ferrite core. A finite element simulation of the device in the frame of COMSOL Multiphysics using the A-formulation has been worked out. First, the device has been realized, and a LabVIEW program has been implemented to measure the waveform of the voltage of B-coils. The geometry and the solution of the problem have been implemented in the frame of COMSOL Multiphysics, to calculate magnetic flux density at the points, where B-coils are on the core.

Open Access: Yes

DOI: 10.1556/Pollack.9.2014.1.14

Speeding up the performance analysis of communication systems

Gábor Lencse

Publication Name: 2005 European Simulation and Modelling Conference Esm 2005 Proceedings

Publication Date: 2005-01-01

Volume: Unknown

Issue: Unknown

Page Range: 329-333

Description:

The methods for the performance analysis of communication networks are reviewed. Different ways are shown how the combination of DES and TFA can be made faster by using parallelism. An efficient algorithm for the parallel execution of the combined DES and TFA is presented.

Open Access: Yes

DOI: DOI not available

The Use Of Payment Cards In Kazakhstan: Analysis And Forecast

Laszlo Vasa Olga V. Koshkina Anna Kredina Olga V. Koshkina

Publication Name: Economy Strategy and Practice

Publication Date: 2021-01-01

Volume: 16

Issue: 3

Page Range: 106-116

Description:

The aim of the study is to analyze and forecast the use of payment cards for making non-cash payments through national payment systems in Kazakhstan. Based on this goal, a hypothesis was put forward that in Kazakhstan, there is a relationship between the number of payment cards and the volume of non-cash payments. This hypothesis was confirmed because of the study. The information base of the study was the data on payment cards, which were taken from the Statistical Bulletin of the National Bank of the Republic of Kazakhstan. Hypothesis testing was carried out using correlation analysis for three periods: 2009, 2016, 2020. The method of finding Pearson’s correlation in the SPSS program was used. The results showed a downward change in the relationship between the selected indicators and the amount of funds transferred over time. Also, in this study, a forecast was made for 2021-2023 for the indicators under consideration. To make a forecast for the indicators under consideration, a graphical method (polynomial trend line) was used. The resulting forecast shows the growth of cardholders and, consequently, the spread of the number of payment cards among the population in 2021-2023. The practical significance of this study is that the proposed methodology can help predict the dynamics of payment cards in any country in the world. Recommendations are also given for further improving the financial system, since increasing the transparency of monetary circulation in small-and-medium sized businesses will lead to a positive result in the implementation of the program for universal declaration of income in 2025.

Open Access: Yes

DOI: 10.51176/1997-9967-2021-3-106-116

Characterization of serratia species and qualitative detection of serratia marcescens in raw and pasteurized milk by an analytical method based on polymerase chain reaction

E. Korcz Z. Kerényi László Varga

Publication Name: Elelmiszervizsgalati Kozlemenyek

Publication Date: 2021-01-01

Volume: 67

Issue: 2

Page Range: 3453-3464

Description:

Serratia species are opportunistic pathogenic microorganisms primarily known as nosocomial infectious agents, which can also cause food quality problems. The appearance of the extracellular pigment-producing Serratia marcescens in cow’s milk causes its red discoloration, posing a challenge to the dairy industry and food certification laboratories. The detection of the bacterium by conventional procedures based on microbiological methods is time-consuming and labor-intensive, and in many cases does not lead to satisfactory results due to the competitive inhibitory effect of the accompanying microflora. Following the analysis of the relevant literature, the published endpoint PCR methods and the primers used for the detection of S. marcescens were evaluated in in silico and in vitro assays, and then the procedure was tested on farm milk samples. Using the method, a total of 60 raw and pasteurized milk samples were analyzed, more than half of which (i.e., 32) were identified as S. marcescens positive. The significance of our work is mainly represented by the application of the published test methods in food industry practice. Our results highlight to the importance of detecting this bacterial species.

Open Access: Yes

DOI: 10.52091/EVIK-2021/2-4-ENG