Investigation of the nature of the process of delivering a batch of containers from the rear terminal to the port

2021 ◽  
Vol 18 (3) ◽  
pp. 385-392
Author(s):  
Gennadiy M. GROSHEV ◽  
◽  
Alexey G. KOTENKO ◽  
Nadezhda V. KLIMOVA ◽  
Natalia B. FEDOROVA ◽  
...  

Objective: Assessment of the need to study the process of delivering a batch of containers from the rear terminal to the port to ensure uninterrupted communication between the rear terminal and the seaport and delivery a batch of containers exactly on time. As a primary task, the problem of analyzing the factors affecting the nature of the delivery process is solved. Methods: The methods of the theory of probability and mathematical statistics were applied in terms of determining the factors that affect the nature of the delivery process. The method of constructing process models was used to create a technological model for the delivery of containers by a block train to the port. Results: A technological model of container delivery by block train is presented. Diagrams were built showing the share of the main deviations from the schedule of container trains by types of operations for traffic, traction, corporate transport services. The main factors influencing the duration of individual operations with container block trains en route and the increase in the delivery time for a batch of containers from rear terminals to the seaport as a whole are identified. The random nature of the duration of the delivery of containers by block trains following the schedule has been established. Practical importance: The need to improve the methodology for choosing a method for delivering containers from the rear terminal to the port using simulation based on the identified factors influencing individual elements of the technological model of container delivery by a block train, deviations from the delivery time of containers, scheduled running of block trains is shown.

Author(s):  
Margus Pedaste ◽  
Tago Sarapuu

The general aim of the present chapter is to focus on the factors influencing simulation-based computersupported inquiry learning in small groups. The authors will give an overview of research that describes different factors influencing inquiry learning and problem solving and will add a dimension of collaborative web-based inquiry from their studies. The evidence from relevant scientific literature as well as the empirical results collected by the authors form the basis for discussion about designing an effective learning environment through a viewpoint of different end-users of our results – especially teachers and software designers. As a result, three additional main factors have been found that should be taken into account in designing support systems for problem solving: i) the level of difficulty of problems, ii) the appropriate sequence of problems, and iii) the characteristics of learners’ groups.


2020 ◽  
Vol 11 (5) ◽  
pp. 246
Author(s):  
Sugra Ingilab Humbatova ◽  
Natig Gadim-Oglu Hajiyev

The purpose of the study was to study, analyze, evaluate and forecast the factors affecting the formation of product supply in the domestic agrarian market. Socio-economic aspects of the factors influencing the growth of product supply in agrarian market in the country were considered for the purpose of the research. Statistical and econometric analysis was carried out by the method of generalization, grouping, systematic approach, the role and place of factors influencing the growth of product supply in agrarian market. The methodology used is based on econometric analysis of time series. The first step involves the formation of an order of integration of variables included in the model and utilizing several unit root tests such as the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) tests. The cointegration approach is based on the ARDL model and the boundary test. The relative volatility of some indicators, which indirectly depends on oil prices, has led to some limitations in the study. The originality of the research is a complex statistical and econometric analysis of the factors influencing the increase of product supply in the domestic agricultural market, and the scientific novelty is the determination of the dependence of product supply in the agricultural sector on government support, including investment. The application of the article in the development of this section on the impact of agricultural supply on food security is of practical importance.


2021 ◽  
Vol 18 (1) ◽  
pp. 132-142
Author(s):  
E. K. Korovjakovskij ◽  
◽  
M. B. Saburov ◽  
Sh. Kh. Sultonov ◽  
◽  
...  

Objective: Assessment and analysis of factors affecting the export of Uzbekistan and the creation of an online trade platform for the delivery of exported goods. Methods: Methods of system analysis, the diagram of the analysis of root causes when exporting goods are applied. Results: The structure of export and trade relations of the Republic of Uzbekistan with the countries of the world has been constructed. The factors affecting the export from Uzbekistan are analyzed and evaluated, the “Ishikawa” diagrams are drawn. A target function and an online trade platform for the delivery of exported goods have been developed. Practical importance: The considered root analyzes and the identified factors affecting exports from Uzbekistan, as well as the proposed online trade platform for the delivery of exported goods, make it possible to increase the export of agricultural and textile goods by 20 % or more, as well as to increase the republic’s exports to the level of imports with a decrease in the balance between export and import.


Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.


2020 ◽  
Vol 26 (1) ◽  
pp. 86-93
Author(s):  
D. V. Slivinsky ◽  
I. A. Fomina ◽  
D. G. Menshikh

The presented study determines the role of business aviation in the modern economy and examines the specific features of its development in Russia.Aim. The study aims to analyze the development of business aviation in Russia and its correlation with economic development in general.Tasks. The authors determine the benefits of business aviation as a business tool, examine the specific features of the Russian business aviation market and problems of its development, and identify factors that affect the development of business aviation in Russia.Methods. This study uses the methods of comparative and retrospective analysis, cross-country comparison, systems approach, and expert analytics.Results. Business aviation is a new segment of civil aviation for Russia. Therefore, it is advisable to rely on foreign practices in the management of its development. In many countries, business aviation is a separate industry that specializes in providing transport services to a wide range of corporate clients and/or individuals. The development of this industry is associated with the economic growth rate and the development level of the national economy, and also depends on the national institutional specifics. This study describes the specific features of development of business aviation in Russia and problems arising in the organization and management of this type of business.Conclusions. The authors develop a system of factors affecting the development of business aviation in Russia, describe the major problems of this industry, and propose solutions. The results of this study can be used in the development (adjustment) of business aviation development strategies in Russia both at the industrial and corporate level, and in the implementation of the national policy in this field.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Gyanvati

This paper analyses the factors affecting for utilization of maternal healthcare services. Following is the section wise description of the paper. Firstly, the paper looks into socio-economic background of women. Secondly, the paper focuses on usage of maternal healthcare services by women. Thirdly, the paper also traces the factors affecting for usage of maternal healthcare services. Lastly, the paper concludes and suggests by emphasizing the significance of proper utilization of maternal healthcare services that it leads to better health of mother and their newborn child.


2021 ◽  
pp. 021849232110100
Author(s):  
Neetika Katiyar ◽  
Sandeep Negi ◽  
Sunder Lal Negi ◽  
Goverdhan Dutt Puri ◽  
Shyam Kumar Singh Thingnam

Background Pulmonary complications after cardiac surgery are very common and lead to an increased incidence of post-operative morbidity and mortality. Several factors, either modifiable or non-modifiable, may contribute to the associated unfavorable consequences related to pulmonary function. This study was aimed to investigate the degree of alteration and factors influencing pulmonary function (forced expiratory volume in one second (FEV1) and forced vital capacity), on third, fifth, and seventh post-operative days following cardiac surgery. Methods This study was executed in 71 patients who underwent on-pump cardiac surgery. Pulmonary function was assessed before surgery and on the third, fifth, and seventh post-operative days. Data including surgical details, information about risk factors, and assessment of pulmonary function were obtained. Results The FEV1 and forced vital capacity were significantly impaired on post-operative days 3, 5, and 7 compared to pre-operative values. The reduction in FEV1 was 41%, 29%, and 16% and in forced vital capacity was 42%, 29%, and 19% consecutively on post-operative days 3, 5, and 7. Multivariate analysis was done to detect the factors influencing post-operative FEV1 and forced vital capacity. Discussion This study observed a significant impairment in FEV1 and forced vital capacity, which did not completely recover by the seventh post-operative day. Different factors affecting post-operative FEV1 and forced vital capacity were pre-operative FEV1, age ≥60, less body surface area, lower pre-operative chest expansion at the axillary level, and having more duration of cardiopulmonary bypass during surgery. Presence of these factors enhances the chance of developing post-operative pulmonary complications.


2021 ◽  
Vol 13 (11) ◽  
pp. 6287
Author(s):  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Se-Rin Park ◽  
Yeeun Shin ◽  
Kyungjin An

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.


Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.


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