Car Service Research Articles

The Influence Of Marketing Mix On Usage Decision Of Auto Clean Waterless Car Wash Services

Increasing the number of vehicles makes a great business opportunity for car wash services. AutoClean Waterless is a company engaged in car wash services that utilise innovation by using special fluids so that it saves water. The problem faced by AutoClean in Bogor City is AutoClean’s sales have not been stable because there is still a decrease in transaction and termination of partners. Sample in this research were 185 respondents. Data were analysed using descriptive analysis and SEM LISREL. The result of this research shows that consumer use behaviour is influenced by weather, priority factors in using car wash services are quality, price, ease for access, and customers more often come to outlets that are not in the mall and majority customers use silver packages. Consumer perception of AutoClean innovation shows that innovation is one of the most essential factors in usage decisions of the consumer. The marketing mix (7P) has a significant influence on usage decisions. Marketing strategies to increase sales in AutoClean Waterless can be applied by making AutoClean customer segmentation based on customer characteristics. Then the company can make priority targets following following predetermined segmentation. Next, AutoClean can make positioning by looking at the priority factors when customers choose car wash services, such as quality, price and ease of access

A novel neutrosophic set based hierarchical challenge analysis approach for servicizing business models: A case study of car share service network

Servicization as a part of circular economy has a prominent role in operations management research by emphasizing the functionality of the products. Servicizing business model is a phenomenon that the products are converted into services for sale, or process of transforming the consumers into users. This newly introduced way of business is defined as a new opportunity for operations management by focusing on; the reliability and durability of the products against the extreme repeatedly use, coordination problems in conducting the business, risk of encountering unknown negative customers, and moral hazard in product usage, operational difficulties, and the degradation of the products. All of the aforementioned issues in implementing the servicizing business models constitute a research question with the high impact of COVID-19 pandemics. Since people avoid using public transportation, car share programs are highly in demand. In addition, there is an obvious research gap in challenge analysis of the car-sharing programs’ literature, an overall service network challenge analysis is missing in the field of study. Hence, the purpose of this study is proposing a novel neutrosophic set based hierarchical challenge analysis approach for the servicizing business models with a step by step guidance, and presenting a real world case study addressing a car sharing company’s entire service network. A practitioner can understand which challenge should be dealt with first, what is the inter-relationship structure of these challenges in a hierarchy, and what is the expected final result of these interactions. The study also contributes to the theoretical background by using neutrosophic sets to propose a novel interpretive hierarchical challenge analysis. In this research, the evaluation of truth and indeterminacy membership degrees of a neutrosophic set are gathered separately instead of applying the defined linguistic variable schemes. The case study is a contemporary field of study attracting attention of innovative entrepreneurs, since there is an increased demand of individual car driving due to the isolation requirement arisen from COVID-19 pandemics.

Effect of socio-economic and demographic factors on ride-sourcing services in Dhaka City, Bangladesh

Ride-sourcing services have emerged in the entire world through advancement of information technology. This service has also penetrated in the market of the developing countries similar to Bangladesh with immense potential. People have adopted this new trip concept with a hope to ease their daily lives by hassle free movement. In developed countries, making trips using ride-sourcing services have been greatly influenced by users’ socio-economic and demographic backgrounds. But, it is hitherto unclear how this ride-service concept is influenced by the social and economic characteristics of the users from developing countries. Hence, this research attempts to unveil the inherent relationships between users’ usage of motorcycle and car ride-sourcing services and their socio-economic and demographic backgrounds. The sample size contains responses of 1003 respondents. Sixteen questions are asked indicating different socio-economic and demographic characteristics of the respondents towards their choice between motorbike and car ride-sourcing: two most popular ride-sourcing services in Bangladesh. A Bivariate-ordered Probit Model has been used to model jointly their choices towards ride-sourcing services. The outcomes indicate that people with certain types of socio-demographic background prefer to use motorcycles over cars for ride-sourcing and vice-versa. The result also shows that gender, household density, income, educational qualification, and smart-phone usage have a propensity to increase ride-sourcing choice towards both motorbikes and cars. The outcomes are expected to provide useful insights to the ride-sourcing service providers, transport agencies and policy makers of Bangladesh in understanding the choice behaviors from the ride-sourcing user perspectives.

차량 인포테인먼트 시스템의 애니메이션 전환 효과가 만족감에 미치는 영향에 관한 연구

Objective: The aim of this study is to investigate the effect of animated transitions on satisfaction for In-Vehicle Infotainment Systems (IVIS).<BR>Background: With the advent of autonomous vehicle technology, the autonomous driving era is fast approaching. Currently, a number of automobile manufacturing companies are providing screens linked to mobile phones in IVISs through a connected car service, and are spurring the development of a digital cockpit (expansion of the IVIS screen). The user experience with IVISs has become an increasingly important issue in the vehicle industry. However, a suitable graphical user interface (GUI) design or appropriate animated transition for IVIS screens is under development.<BR>Method: Forty Participants were asked to experience and evaluate 20 different animated transition effects (transition pattern x easing type x interval time) in 7-point Likert Scale for each condition. The post-interview was placed after the experiment.<BR>Results: The result indicated that there is significant difference in satisfaction according to the animated screen transition effect. The analysis showed that Fade pattern and Ease-Out are the best animated transition effects that can manage the delay under 1.0 millisecond and satisfy the users. Post-interview revealed that the interval time should not exceed 450ms.<BR>Conclusion: The most satisfactory animated transition effects and the animated transition effects that can manage the delay were derived.<BR>Application: The result will provide effective guidelines in the field of animated transition design of IVIS systems.

Automatic Number Plate Recognition System using Connected Component Analysis and Convolutional Neural Network

Technology is becoming constantly important for customers. Automatic number plate Recognition (ANPR) is a device which enables the identification of a number plate in real time. For an intelligent car service, ANPR helps to promote growth, customize the classic app and increase consumer and employee productivity. Within the specification, the principal function of ANPR lies of removing the characteristics from an illustration of a license plate. An application that enables customers to display automobile repairs through the license platform number only derived from a loaded picture is augmented by a smart car service. Technological progress is that, so it is thought that improvement is important in this region too, so the best choice for automotive services is a smart car company. This work proposed a methodology to detect the numbers from car license plate using convolutional neural network. In the preprocessing of photographs on license plates, the WLS and FFT filters were included. The images are then fed into the convolutional trainings neural network. On more plates and tests is reported during the testing. Therefore, the findings indicate that the proposed solution can be taken in less time from the license model to accurately identify the characters. The experimental result shows the significance of proposed research by achieving an accuracy of 98% for the localization and true recognition of license plates from the video frames.

Formation of the Economic Potential of the Enterprise (Service Enterprises – Repair and Maintenance of Vehicles) Evidence from Bosch Company

The study discusses the formation of the economic potential of an enterprise (Bosch company), as exemplified by service enterprises involved in the repair and maintenance of vehicles. The relevance of research in this area is determined by the large number of operating Bosch service companies engaged in servicing vehicles and the breadth of their services, which largely determines the firm's policy and forms its economic potential. The identification of criteria for assessing the formation of the economic potential of the enterprise, it is important to determine the economic patterns of development of enterprises operating in automobile service, contributes to a better understanding of the patterns that affect the development of enterprises in the automotive sector at large. Furthermore, the economic potential of the enterprise is formed as a joint result of its economic and business activities, and the presence of an extensive network of Bosch service enterprises significantly expands the possibilities for conducting such activities. Thus, there is a direct correlation between the number of Bosch automobile service enterprises, the services rendered by them in repair and maintenance of motor vehicles, the quality of work of such service enterprises and the formation of the economic potential of Bosch at large. The results of this study can be of significant practical importance for functioning and newly created enterprises in automobile transport service maintenance, in the aspect of identifying and stating fundamental principles that influence the formation of their economic potential and improve the quality of their work in general.

Developing Universal Methodology of Estimating Competitiveness at Enterprises of Maintenance and Technical Service

At the current stage of the new technological structure development, when nano-technologies, artificial intellect and biotechnical objects are progressing very fast the system of technical maintenance and repair-technical service has become an important element in the process of these project functioning. This field of technical service has a lot of lines of application: repair and technical agro-service, automobile technical service, carriage technical service, repair and technical service in municipal utilities, etc. Depending on lines of production and rendering services fixed factors are in operation, which influence on objects on micro-, mezzo- and macro-levels. Today's situation connected with the pandemic makes this topic even more acute, when sustainability of enterprises of technical service is tested by the dropping level of these services. Thus it is important to develop a universal methodology of estimating organization competitiveness that can allow us to study the level of functioning of such enterprises from common methodological positions. The article gives the author's definition of the term ‘repair and technical service', explains the idea of competitiveness, puts forward a universal methodology of estimating competitiveness of the enterprise of the sphere of repair and technical service, which gives an opportunity in today's conditions to identify the level of competitive sustainability of the given enterprise and on this basis to find the place of the enterprise on the market and in case of the low level of sustainability - to plot a plan of resolving the problem. The research findings can be useful for executives of enterprises of technical service in order to find their sustainability in current conditions on concrete market of rendering services and to develop a long-term strategy of enterprise progressing.

About the quality of car maintenance work

The article is devoted to the analysis of the labor discipline of production personnel when performing maintenance (maintenance) of cars. The research was conducted in Perm on the basis of a typical car service, which is an official dealer of the domestic car brand. The results of comparing the manufacturer’s MAINTENANCE technology and the actions of performers (locksmiths) are presented. Deficiencies in the work of production personnel were found and analyzed. Recommendations have been developed to improve the organization of work, increase the level of motivation of employees. Keywords: personnel assessment, car service, labor discipline, car maintenance

Research regarding works ergonomics in automotive repair shop

Prevention of muskuloscheletal disorders is very important worldwide. Both governments and companies are very interested in reducing the risk of their occurrence because the process that occur in the illness of an employee are long and very expensive. Muskuloscheletal disorders exists in all area of activity and in all occupations cause physical and economic consequences for both the worker and the company. They are generally found where the activity involves repetitive actions with awkward workstations or when the individual human operator has to lift weights above or outside the ergonomic workspace of the upper limbs. The most common musculoskeletal disorders occur mainly in two areas of the human body, namely: the back and the upper limbs, respectively, because the activities take place with the help of muscle groups in these areas. For this reason, they are most affected. Paper carries out a study on the activity of a car service and the exposure of the human operator from a certain workplace. It aims to highlight modern methods for preventing musculoskeletal disorders, generated by repeated and long exposure to emerging risks in the automotive industry. The semi-direct OWAS method will identify the areas where possible stress points may appear in the muscles, as a result of repeated exposure in a short time to risk factors but will be studied also NIOSH and RULA methods. Through Process Simulate software we try modeling such an activity, around which musculoskeletal disorders can occurs. It must be taken into account that here the mechanical stress generated at the level of the human operator cannot be visualized, because they depend on the prolonged, repeated exposure of the risk factors and on the large volume of work in a certain period of time.

Sustainable operations-oriented painting process optimisation in automobile maintenance service

Building a more sustainable society is an urgent requirement for today's service-oriented manufacturing enterprises, such as automobile maintenance firms. In automobile maintenance service, traditional painting process scheduling scheme usually only considers the profits of enterprises, ignoring the requirements of customers or other stakeholders. To address this gap and achieve sustainable operations of enterprises in the long term, this paper concentrated on the vehicle scheduling of painting process problem with the concern of the demands of managers, workers, customers, governments and non-government environmental protection organisations. This problem was formulated as a nonlinear 0–1 integer programming model to minimise makespan (MP), total pollutant emissions (TPE) and total customers' perceived dissatisfaction (TCPDS). A genetic algorithm was designed to solve the model, and a practical case using data from both the information system and the survey was performed to test the performance of the proposed model and algorithm. Computational results revealed that the genetic algorithm performed well in terms of validity and stability. Pareto solutions demonstrated that optimising task sequences helped increase customers' perceived satisfaction while improving the makespan of vehicle painting, decreased paint waste, and reduced worker health and safety risks. Some of the increases in the percentage of well-timed customer service reservations were catalysed by the method that combined tiered pricing, related to delivery times, the automobile painting efficiency, which improved customers' perceived satisfaction. This paper also further guides managers to incorporate sustainable development into operations in service-oriented manufacturing enterprises.

Peramalan Pelayanan Service Mobil (After-Sale) Menggunakan Backpropagation Neural Network (BPNN)

The automotive industry in Indonesia, primarily cars, is getting more and more varied. Along with increasing the number of vehicles, Brand Holder Sole Agents (ATPM) compete to provide after-sale services (mobile service). However, the company has difficulty knowing the rate of growth in the number of mobile services handled, thus causing losses that impact sources of income. Therefore, we need a standard method in determining the forecasting of the number of car services in the following year. This study implements the Backpropagation Neural Network (BPNN) method in forecasting car service services (after-sale) and Mean Square Error (MSE) for the process of testing the accuracy of the forecasting results formed. The data used in this study is car service data (after-sale) for the last five years. The results show that the best architecture for forecasting after-sales services using BPNN is the 5-10-5-1 architectural model with a learning rate of 0.2 and the learning function of trainlm and MSE of 0.00045581. This proves that the BPNN method can predict mobile service (after-sale) services with good forecasting accuracy values.

Prospects for the Use of Artificial Intelligence and Computer Vision in Transport Systems and Connected Cars

As statistics show, the use of artificial intelligence and machine vision for cars can significantly improve road safety. Even before self-driving vehicles dominate the road, connected vehicles with computer vision-based ADAS will dramatically reduce road accidents. New automotive technologies such as machine vision not only improve road safety, but also open new business opportunities for companies from related industries and sectors such as insurance, car sharing and driver training. Soon, the automotive market, car service services and industries close to transport will change dramatically. This means that those who invest in such developments right now will be able to seize leadership in the era of the spread of innovative technologies.In modern cars, video cameras are used not only as an alternative to the rear-view mirror but are also an important part of active safety systems. Their task, first, is to support collision protection systems through object detection. Cameras are also used to keep track of the lane, to automatically recognise road signs and traffic lights, and monitor the condition of drivers. Together with radars and lidars, they are used to control unmanned vehicles. However, these are far from all the possible areas of useful application of video cameras on board a vehicle. With development of artificial intelligence systems, a decrease in size and an increase in the power of on-board computing facilities, as well as with an increase in the throughput of mobile communications and development of cloud technologies, it becomes possible to implement new services based on video cameras and computer vision.For this reason, the objective of this article is to analyse the trends in development of artificial intelligence, computer vision systems and, considering these trends, to form a list of useful services based on them. The article provides information about what cars can «see» today, how they do it, and what useful services can be implemented for drivers, for transport organisations and for areas related to transport.

Factors for the Quality of the Brazilian Car Rental Service

The purpose of this study is to identify the main factors that influence the quality of the car rental service in Brazil, from the perspective of customers. It is the first time that the main factors for the quality of the car rental service have been investigated considering the perspective of Brazilian customers. We adopted a survey based on a questionnaire. The results were analyzed using the binary logistic regression model. The main factors for the quality were: the company offers local maps and tourist information along with the car (odds ratio = 1.56); the company has cars adapted for people with special needs (odds ratio = 1.39); the company supplies cars with a choice of steering (odds ratio = 1.568); the company has employees that are well dressed and look good (odds ratio = 1.58); the company makes all tools and documents available (odds ratio = 1.75); and the company offers compensation if inconveniences arise for customers (odds ratio = 1.51). This study shows how companies can direct their efforts to reduce complaints and improve the satisfaction and quality of the car rental service in Brazil.

The opportunity structure, group characteristics, and strategy of ketok magic repair shops in Manado

The increase in internal migration has led to the emergence of ethnic minority migrant groups who work as entrepreneurs in various migration destinations in Indonesia. The migration that occurred in Manado shows that ethnic groups from certain regions form a unique group in the social network of repair shop owners and workers. This study aimed to describe the emergence and development of a ketok magic repair shop business in Manado which is owned by migrants from Blitar City, East Java. This study used a qualitative research method. Primary data were obtained from interviews and observations, while secondary data were obtained from literature studies. The results show that the opportunity structure in the form of requests for car repair and painting services as well as the ease of setting up a repair shop business has enabled the establishment of a number of ketok magic repair shops in Manado. Ethnic characteristics in the form of communities with high solidarity and strong social networks support repair shop activities well. This study concludes that community and social networks facilitate recruitment of workers and carry out repair shop promotion strategies because of high solidarity.

Isolation and development of a microbial consortium for the treatment of automobile service station wastewater.

This work aims to investigate the nature of waste being generated by automobile service stations (ASS) and to devise a microbial-based formulation for the treatment of ASS wastewater. Analysis of soil and water samples from the vicinity of different ASS in and around the Pune city region (India) revealed the presence of significant amounts of many heavy metals including zinc (Zn) 13.8-175.44mgkg-1 , nickel (Ni) 0.6-5.5mgkg-1 and copper (Cu) 8.07-179.2mgkg-1 as well as oil and grease (O&G). A consortium, consisting of selected members from the ASS soil bacterial isolates, was formulated. The selection of consortium members was based on their ability to degrade hydrocarbons, tolerate heavy metals, and produce biosurfactant and lipase. The developed microbial consortium was capable of reducing the concentration of Ni, manganese (Mn) and chromium (Cr) by 69.25%, 14.63% and 84.93%, respectively, and O&G by 71.8% in the aqueous medium under laboratory conditions. Wastewater and soil analysis confirmed the presence of a high amount of O&G and metals in and around ASS. The developed microbial consortium holds potential for the treatment of wastewater rich in O&G and heavy metals. There is a dearth of scientific studies in India on the wastewater and polluted soils associated with ASS. This work reveals and confirms the hazardous nature of ASS and the need for the development and feasibility of microbial-based technology for the sustainable bioremediation of such sites.

Method of Non-Invasive determination of wheel rim technical condition using vibration measurement and artificial neural network

Some vehicle damages can be related to the wheels' functional state, defined by rim and tire conditions. The technical condition of the rim is not simple to identify as it is related to the state of material structure. So far, little information has been presented about measurement systems and methods dedicated to rim technical condition identification that are acceptable by car service stations. Thus, the new measurement system and method are proposed in this paper. The identification process uses forced vibration spectra measurement and data processing with neural network use. For this purpose, the existing wheel balancer has been integrated with the computer coupled to a shaft actuator, vibration exciter, and accelerometer head. The developed software provides automation of measurement procedure and results classification, while the algorithm of data processing enables the proper detection of the three states of rim: new, used, and fit for further use, and not usable.

The speedways’ method: drive fast, catch the wind, get there early and move ahead!

Learning outcomes Upon completion of this case study analysis in class, students should be able to distinguish the different steps and actions involved in the entrepreneurial venture creation; evaluate the extent to which an entrepreneurial idea represents a commercial success or practical failure; apply relevant strategy frameworks to estimate the complexities associated with the management of a small startup; and debate about the pros and cons of different strategic options and offer viable advice for decision-making. Case overview/synopsis This case follows the entrepreneurial beginnings of a college student, Mohsen Shahin, whose early initiation into the world of business commenced from a serendipitous win of a small fortune in a raffle in London, UK. The case study illustrates the protagonist’s dilemma of whether to spend the winning on everyday pleasures of his life as a teenager or to venture in an entrepreneurial undertaking. Following his father’s advice, Mohsen ultimately decides to exchange his prize for money and use it for launching Speedways, a luxurious car servicing garage in London’s downtown. The case further elaborates on some initial struggles he faced as a young entrepreneur and continues with his decision to pursue higher education in Dubai, United Arab Emirates, which forced him to handle his managerial responsibilities from a country thousands of miles away from his garage. Eventually, Mohsen makes the hard decision to sell Speedways and realize his grown ambition of exploiting his prior business experience to embark on new adventures in his life. The case culminates with Mohsen having to choose between either opening his own company in the premium car care industry in Dubai or pursuing his post-graduate studies at a prestigious university in the USA – a critical decision he has to make promptly, as he is short on time. Complexity academic level Upper-level undergraduate courses. Supplementary materials Teaching Notes are available for educators only. Subject code CSS: 11 Strategy.

Perancangan Aplikasi Rental Mobil Dengan Framework CodeIgniter

Abstract Car rental is a type of business that is engaged in four-wheeled vehicle rental transportation. With the current technological developments greatly affect the quality in the field of car rental services. Several fields that use information technology are education, agriculture and companies have used information technology to facilitate quick, precise and accurate information to the public. The development of technology is not only used for a field or large-scale company, but can be used by various groups of people to support a business they manage. One of the businesses that utilize this information technology is Sakti car rental, which is engaged in transportation for four-wheeled vehicle rental services. Currently, four-wheeled transportation has become a necessity to support the daily mobility of all people. Data management on Sakti Car Rental still uses manual methods which often cause errors. Technological developments also allow the development of a programming language, one of which is the CodeIgniter Framework. Therefore, the author designed a car rental application with a codeigniter framework that aims to make it easier for owners to manage car data, transaction data and to print transaction reports and avoid errors.

Control of Production Personnel when Performing Vehicle Maintenance

The objective of this article is to analyse labour discipline of production personnel when performing vehicle maintenance works. Currently, many car service enterprises practically do not control the quality of the work of the employees. These responsibilities are assigned to the lower management level – foremen, however, they are either heavily loaded with work, or are not interested in performing control functions. In addition, labour intensity of technical maintenance and repair work is set by the manufacturer at the lowest possible level, assuming that the staff is highly qualified, and the company is provided with all the necessary special tools. As a result, it is difficult or impossible for employees to meet the standards, therefore, to fulfil the plan and not lose part of the wages, they miss or do not perform part of the work paid by the client. The studies were carried out in Perm at a typical car service enterprise, which is an official dealer of a domestic car brand.The analysis of the work of the personnel was carried out by comparing the actual work performed following the technology defined by the manufacturer. For this, video recording of all the actions of an employee was carried out. The completeness of each operation was noted, as well as the time spent. Work efficiency was assessed using Spaghetti diagrams, which indicate all movements of the performers. A methodology is presented that allows to give a final assessment of the work of locksmiths, which consists in calculating penalty points for exceeding standard time, partial execution or omission of operations. A scale for evaluating performers has been developed. The results of studies of carrying out maintenance of two identical cars are presented. The shortcomings of the production personnel are discovered and analysed. To increase labour productivity, it is possible to use the principles of lean production of the 5 «S» system. It is necessary to equip the posts with tools, issue checklists to the performers and use the movement scheme at the maintenance post, equip posts with video surveillance cameras and periodically carry out selective control of work. To motivate staff, it is necessary to revise the system of bonuses and fines, considering the results of work.

ТРЕНДЫ ЦИФРОВИЗАЦИИ И АВТОМАТИЗАЦИИ ПРОЦЕССОВ СТАНЦИЙ ТЕХНИЧЕСКОГО ОБСЛУЖИВАНИЯ

The main purpose of the research is to identify modern trends in the digitalization and automatization of car service station processes, specifically, to identify innovative solutions offered on the market to improve the processes of service stations. The paper considered such innovative solutions as the introduction of CRM systems at car service enterprises, ways to improve the supporting processes of service stations (the introduction of specialized systems at the warehouse of a service station, bar coding systems, RFID systems). The trend of the introduction of spare parts and car repair and maintenance services electronic trade is actively spread in the field of car service. Gradually, mobile applications for customers appear on the auto service market in order to help them to find the nearest to the place of breakdown auto repair shops, as well as applications for tracking vehicle service times and etc. The article also considered the use cases at service stations of such innovative solutions as augmented reality technologies, 3-D modeling, big data, Wi-Fi in cars, biotelemetry.