Proceedings on Engineering Sciences

6

Authors: Olga Safonova, Vladimir Konyukhov

The article examines the model of the quality management system based on international standards ISO 9000 series is generally recognized in the world. It is being implemented at enterprises of all forms of ownership operating in various countries and sectors of the economy. The standard has gained such wide popularity due to its versatility and approaches to quality management, which have shown their effectiveness and efficiency in practice. In the modern world, the basis for ensuring a competitive advantage of an enterprise in the market is the continuous improvement of its management system and products. The ISO 9000 series of standards focuses the organization on continuous improvement and the fullest satisfaction of the requirements of all stakeholders. The quality management system is an important factor of competitiveness. The presence of a quality management system at the manufacturer means, in market language, the ability of this enterprise to meet the requirements of consumers, regulatory requirements from the state and the requirements of the organization for its own activities. In accordance with the General provisions of the standard, this is the main purpose of the quality management system. Modern enterprises operate in a constantly changing market environment. Only those companies that can quickly adapt to changes in the external environment can survive in the competition. In this regard, the quality management system should be flexible and quickly "adjusted" to changes in the requirements of the parties interested in the company's activities. Only such a management system can become a useful tool in the hands of the company's management.

8

Authors: Tatul Mkrtchyan, Yevgenya Bazinyan, Narek Karapetyan, Hayk Sargsyan, Narine Petrosyan

Armenia imports all of its vegetable oil for domestic consumption, consisting mainly of sunflower oil imported almost entirely from Russia. Thus, the price in Armenia is formed based on the purchasing price, transportation costs, and margin. But the price movements in the Armenian retail market are not always consistent with the international markets, which rises the need for a comprehensive micro and macro-level analysis. In this article, the authors analyze the price value chains on micro-level data and reveal factors determining retail market price with econometric models. The analysis showed, that the key determinants are the international price of vegetable oil, USD/AMD exchange rate, and domestic inflationary factors. The article argues that the movements of the Armenian vegetable oil market are not always consistent with the changes in these factors: the market overreacts with increased margins during turbulent periods. This pattern was confirmed both in 2021 and 2022 when despite the divergence of Russian and international prices and the relative stability of the Armenian market, the analysis showed increased markups.

8

Authors: Shahril Mokhtar, Kamarul Azman Khamis, Rusdi Omar

Rail transportation plays a crucial role in facilitating efficient and sustainable urban development, particularly in densely populated areas. This study aims to evaluate customer satisfaction with the public transport system in Malaysia, with a focus on rail transportation. The research examines various factors that influence customer satisfaction, including service quality, punctuality, convenience, safety, and cleanliness. The study utilizes a mixed-methods approach, combining secondary data analysis and primary data collection. Secondary data analysis involves a comprehensive review of existing literature, including academic papers, government reports, and industry publications. Primary data is collected through a structured questionnaire administered to a sample of rail transport users in the Klang Valley region. The findings highlight the importance of service quality in shaping customer satisfaction. Factors such as reliable and punctual train arrivals, convenient and comfortable facilities, and a clean and safe environment emerge as key determinants of customer satisfaction. The study also identifies areas for improvement, including enhancing the efficiency of ticketing systems, increasing seating capacity during peak hours, and addressing cleanliness issues at stations and on trains. The research findings have implications for policymakers, transport authorities, and rail operators. By understanding the factors that influence customer satisfaction, stakeholders can design strategies to enhance the quality of rail transportation services. Improving customer satisfaction levels can lead to increased ridership, reduced road congestion, and a more sustainable transport system. The findings can also inform future infrastructure development plans and guide decision-making processes in the public transport sector. Overall, this study contributes to the growing body of knowledge on customer satisfaction in rail transportation and provides valuable insights for improving the quality and effectiveness of Malaysia's public transport system, specifically in the context of rail transportation.

8

Authors: Wijittra Srisorn, Sunthan Chayanon

The objectives of this research were: 1) to study the level of personal financial planning for Gen Y's ability to live in retirement in Phraya Prasit community, Dusit District, Bangkok, 2) to compare the level of personal financial planning for Gen Y to be able to live in retirement age in Phraya Prasit Community, Dusit District, Bangkok classified by personal factors. The sample group used in this research was 200 people living in Phraya Prasit community, Dusit District, Bangkok more than 5 years and over to whom were born during 1997-1982, with ages between 25-40 years old. Statistics used to analyze the data were percentage, mean, standard deviation, t-test, and analysis of variance. The statistical significance was determined at the 0.05 level. The results of the study showed that most of the people who live in Phraya Prasit Community, Dusit District, Bangkok with ages between 25-40 years and have lived in the area for 5 years or more were females with ages between 36-40 years old, they were singles, most of them were students, having a bachelor's degree, and earn less than 25,000 baht per month. The overall value of personal financial planning for Gen Y to be able to live after the retirement in Phraya Prasit community, Dusit district, Bangkok was at a very high level. When considering each aspect separately, it was found that spending and savings were at the highest level, followed by reflection before purchasing, solution of financial problems, setting long-term financial goals, savings patterns, and data comparison before making decision respectively. The differences of personal factors have no relationship with the personal financial planning at the statistical significant value of 0.05.

10

Authors: Chandra Kant, Gulam Ashraful Harmain

In this investigation, experiments have been carried out at room temperature (RT); 300K, and at high temperature (HT); 573K to determine the role of martensite formation in the strain-controlled low cycle fatigue of 304LN (0.11%) stainless steel. Deformation-induced martensite was significantly present (0.7 to 2.3%) for RT, however, in trace amounts (0.05 to 0.07%) at HT. The presence of deformation-induced martensite at RT had detrimental effect on low cycle fatigue life of 304LN-SS. Significant drop in stress level was observed at HT (270-407 MPa) compared to value of stress at RT (395- 493 MPa) for cyclic stain amplitude values in the range (0.5 to 1.1%).The number of reversals to failure decreased with increasing strain amplitude (0.5 to 1.1%) from 17540.0 to 1046.0 at RT while at HT the number of cycles to failure decreased (15562 to 700). The maximum number of hardening cycles was found to increase from 15 to 55 for a temperature rise from 300K to 573K. The beneficial improvement in cyclic stress-strain response (hardening cycles) at 573K is attributed to absence of martensite. Effects of deformation-induced martensite and temperature have been invoked to account for changes that have been observed in the cyclic stress-strain behavior.

10

Authors: José Salvador da Motta Reis, Nilo Antonio de Souza Sampaio, José Glenio Medeiros de Barros, Ronald Palandi Cardoso, Dayana Elizabeth Werderits Silva, Gilberto Santos, Luis Cesar Ferreira Motta Barbosa

This article aims to analyze the levels of waste of components used in destructive testing for releasing the assembly line of an automotive parts factory. In this way, it aims to apply an improvement that involves the reduction of the amount of parts destroyed daily, consequently reducing their monthly costs. For this, based on the case study methodology, the percentages of discard in relation to sales of all parts currently produced were surveyed, in order to identify the line that has more discarded components and, from this, to analyze the waste factors, based on the Lean Manufacturing concepts. After the waste analysis and the application of process improvement, there was a reduction in the cost of parts for destruction. The cost, which was 0.71% of the total monthly sales, became 0.19%.

12

Authors: Abdulelah Makki

This systematic review paper provides an overview of the current literature on the application of artificial intelligence (AI) technology in digital marketing systems. The Google Scholar database was searched with the title of the paper as the keywords and additional search criteria. A total of 17 papers were shortlisted for this review. The review found that there is a high potential for AI to aid digital marketing in various ways. Some future trends towards voice search, greater automation of processes, and AI itself cannot be ruled out. Furthermore, the paper provides an overview of the current state of research on the application of AI in digital marketing systems and discusses the advantages and disadvantages of AI in this context. It also discusses the challenges and opportunities of using AI in digital marketing systems and provides recommendations for future research. This paper has implications for marketing systems.

12

Authors: Stanimir Karapetkov, HristoUzunov, Silvia Dechkova, VasilUzunov,

Dynamic investigation of vehicle collisions with stationary obstacles in most cases concerns solutions to complex tasks related to identification of occupant position in the vehicle. The focus of the study is on how forces of inertia change their magnitude and direction during car motion. This requires specific analysis done by dividing vehicle trajectory into separate stages according to certain indicators, such as free motion, impact process, post-impact residual motion. Particular attention has been paid to the impact itself, in which the forces of inertia are the most intense, and their magnitude and direction change abruptly. Solution to Cauchy problem has been found, in which initial kinematic parameters of the crash process are considered, satisfying the kinematic values at rest position. Dynamic analysis of the impact phase of a vehicle-fixed barrier collision has been performed by the finite element method using the software product Abaqus/Explicit.

12

Authors: Ati Jain, Hare Ram Sah, Harsha Atre

Modality is the word that refers to different modes of recognition. In early researches it has been seen that single modality more over taken into considerations for emotion recognition which always not give better results due to insufficient information. Multi-model functionality helps in overall recognition process for increasing reliability. Fusing multiple feature sets and classifiers into one system will produce a comparably more accurate system. This research works includes combination of speech and facial expressions, as this hybrid mode will help in evaluating results perfectly and as per desire. The proposed methodology used here consists of two main parts; first is Facial Expression Recognizer (FER) and Speech Emotion Recognition (SER) is second part and for the final result hybrid mode will work that consider output of both FER and SER. This is multisensory and multi-model emotion recognition system. The research work used MLP classifier for classification of emotions from speech/audio for speech emotion recognition with the use of MFCC for feature extraction that gives accuracy of about 81% and Convolutional Neural Network classifier is used for video/images that gives accuracy of 98.68%. As a hybrid system, outputs found better than that of individual systems. Age groups like kindergarten, primary, adults, senior citizens are compared for finding emotions based on the models. Such applications may be used at schools, colleges, universities, training centers etc

14

Authors: Cristiano Fragassa, Ana Pavlovic, Luca Berardi, Giuliano Vitali

A linear vibratory feeder is an instrument that uses vibration to "feed" material to a process or machine. It consists of a vibrating frame, an electromagnetic coil, a spring, and a tray or trough for conveying materials. The vibration causes the material to move along the tray or trough, ultimately moving the material to its desired destination. The motion analysis of different linear vibratory feeders was here performed and compared. Numerical modeling and experimental verification were combined in the way to investigate the dynamic response of vibratory feeders and their effect on feed particle accelerations on conveying. A close correspondence between the measured and predicted resonance frequencies was found. This information was conveniently used to improve machine designs.

16

Authors: Gulnara F. Romashkina, Djamilia Skripnuk, Kirill V. Andrianov

The article contains an analysis of the established practices of attracting financing through the issuance of bonds on the example of companies in the agricultural and food sectors of the countries included in the Arctic zone: Denmark, Iceland, Canada, Norway, Russia, Finland, Sweden. The goal is to compile profiles of the bond market of individual countries and identify existing patterns. The research sample included 60 companies producing food products, which are also issuing companies in the debt market for the period 2015-2022. Conclusions are drawn, there are common institutional features in almost all the countries considered. Russia is characterized by an atypically large number of bonds placed, high market inertia, and high borrowing costs. On the Canadian market, the bond placement period is on average much shorter with a sufficiently large capital of organizations. In Canada, Denmark and Norway, there is a picture of hyper-concentration of the market with a focus on institutional investors. The situation is approximately similar with a much smaller number of bonds in Sweden, Iceland and Finland. The necessity of increasing the availability of the placed debt for private domestic investors was noted.