USING OF THE MATHEMATICAL APPARATUS REGRESSION ANALYSIS TO UNIFY THE CALCULATING METHODOLOGY FOR THE T-64B TANK'S OVERHAUL LIFE

The subject matter of the article is the life cycle of a T-64B tank sample during the period from normal operation in a combat training group to resource consumption and carrying out average and capital repairs. The goal of the study is to develop a model of dependence of inter-repair service life of the T-64B tank sample on the machine operating conditions and, on its basis, a methodology for controlling the parameters of individual assemblies and systems of the tank sample during its life cycle. The tasks to be solved are: to analyze the results of statistical records of tank system failures and damages number and identify the predicates set affect the inter-repair service life of the machine depending on conditions of its tasks for the intended purposes; to create the regression equation for getting the unified analytical dependence of inter-repair service life of the T-64B tank sample in the period from normal operation in training and combat group to service life and overhaul; to investigate specific influence of reliability indices on the machine's service life. General scientific and special methods of scientific knowledge are used. The method of hierarchy analysis, mathematical apparatus of probability theory and multidimensional statistical analysis were used. The following results are obtained. A set of predicates influence the inter-repair service life of the machine depending on conditions of its tasks for the intended purposes fulfillment has been determined. A regression equation has been drawn up to obtain a unified analytical dependence of the overhaul life of a T-64B tank sample during the period from normal operation in a combat training group to the development of a resource and carrying out of intermediate and complete overhauls were drawn up. Engineering solutions have been proposed to implement a methodology for monitoring the parameters of individual units and systems of the tank sample during its life cycle, namely integrated real-time monitoring of oil condition and recording of engine operating hours under various load conditions. Conclusions. The space of features characterizes the conditions of the tank sample tasks for its intended purposes, includes service life, crew training, operation, seasonality of the unit’s performed tasks nature, machine operating time since the last service and range of the vehicle before the next overhaul. The analytical relationship between the individual factors determining the conditions under which the T-64B tank sample performs its tasks for the intended purposes and the machine's service life consumption as a dependent variable can be determined in the form of a regression equation. Differentiated control of the parameters of individual assembly units and systems of the tank sample plays a leading role in ensuring the combat readiness and efficiency of the use of aging samples of weapons, insures personnel against possible accidents and catastrophes, sudden failures.

Framework on Performance Management in Automotive Industry: A Case Study

The purpose of this research is to identify the risks and deficiencies that affect the performance of companies that provide vehicle after-sales services. Thus, this paper highlights the results of a comparative study based on a questionnaire conducted at the level of six brands in the automotive industry. A model was developed to investigate the factors that affect the global performance of the after-sales sector and the authenticity of the information related to the issue studied. Moreover, based on the collected data, this study evaluates the strategies related to performance management used by the organizations studied. In the end, even if the results showed a score of 81% on the questionnaire, we found that companies that provide vehicle after-sales services have not implemented and do not maintain totally the strategies related to performance management. Consequently, the need for change can be emphasized. Based on the analyzed data in the second part of the paper, we identified deficiencies and risks in terms of the organization, operation and management of the service units. These results confirm that the vehicle repair service has a significant influence on employee and customer satisfaction, on the quality of the vehicles repaired and the repair completion time.

FORECASTING REPAIR AND MAINTENANCE SERVICES OF MEDICAL DEVICES USING SUPPORT VECTOR MACHINE

Accurate prediction of product failures and the need for repair services become critical for various reasons, including understanding the warranty performance of manufacturers, defining cost-efficient repair strategies, and compliance with safety standards. The purpose of this study is to use machine learning tools to analyze several parameters crucial for achieving a robust repair service system, including the number of repairs, the time of the next repair ticket or product failure, and the time to repair. A large dataset of over 530,000 repairs and maintenance of medical devices has been investigated by employing the Support Vector Machine (SVM) tool. SVM with four kernel functions is used to forecast the timing of the next failure or repair request in the system for two different products and two different failure types, namely random failure and physical damage. Frequency analysis is also conducted to explore the product quality level based on product failure and the time to repair it. Besides, the best probability distributions are fitted for the number of failures, the time between failures, and the time to repair. The results reveal the value of data analytics and machine learning tools in analyzing post-market product performance and the cost of repair and maintenance operations.

DRIVE THRU SERVICE OF E-ID CARD IN BLITAR CITY

The Drive Thru program is an innovation developed by the Population and Civil Registration Office of Blitar Regency in the e-KTP service, which has the aim of improving the quality of e-KTP services in Blitar Regency and as a breakthrough in population administration services during the Covid-19 pandemic. This study aims to determine the mechanism of the Drive Thru Program e-KTP service by the Department of Population and Civil Registration of Blitar Regency. The research method used is descriptive qualitative research method. Sources of data in this study are primary and secondary data sources. The data analysis technique used is a theoretical taxonomy assessment technique, where the researcher provides an overview of the fact assessment on each indicator of the concept under study which is detailed theoretically. For data collection techniques include interviews, observation and documentation. The results showed that of the 5 (five) dimensions that the researcher used in the study, only one dimension that showed good performance was contained in the Empathy dimension. Meanwhile, in the other 4 dimensions of performance, many obstacles occur, especially in indicators of physical appearance, clarity of procedures, response to complaints, and guarantee of punctuality. Most of these obstacles are related to infrastructure which is closely related to budget constraints. Efforts made to overcome these obstacles are still in the planning stage by increasing the budget allocation to add mobile service cars, repair service counters, increase the number of digital comment boxes, improve internet networks, and create standard operating procedures (SOPs). It is recommended to the Government to immediately make regulations related to the Drive Thru Program e-KTP Service in the regions and to improve communication between regional apparatus organizations in the regions.Keywords: e-KTP, Drive Thru, Service, Blitar Regency

Choosing a strategy for mining equipment repair service

Relevance. The traditional practice of increasing production efficiency with a focus on technical reequipment and increase in the unit capacity of the equipment in operation, carried out without proper changes in the organization of production and for equipment repair service strategy leads to inefficient use of resources and loss of working time, which in turn affects the volume of output of the final product. Research aim is to select the optimal combination of planning strategies for mining equipment repair service. Research methodology includes the methods of structural and functional analysis, scientific generalization, and production experiment. Results. The advantages and disadvantages of planning repairs in the traditional system of planned preventive repairs and maintenance system based on technical diagnostics are presented. The main reasons for the increase in the number of emergency repairs are identified. The main components of effective preparation of repair impacts and methods for calculating the repair cycle on the example of an excavator fleet are given. The results obtained when considering the choice of strategy at one of the mining enterprises in the Urals are presented. Conclusions. To ensure the high performance of mining machinery and equipment during its operation, the effect can be obtained only by using the strategy of “condition-based” repair service with the use of technical diagnostics, condition monitoring of each unit, and repair actions planning that prevent sudden equipment failure.

Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine

Accurate prediction of product failures and the need for repair services become critical for various reasons, including understanding the warranty performance of manufacturers, defining cost-efficient repair strategies, and compliance with safety standards. The purpose of this study is to use machine learning tools to analyze several parameters crucial for achieving a robust repair service system, including the number of repairs, the time of the next repair ticket or product failure, and the time to repair. A large dataset of over 530,000 repairs and maintenance of medical devices has been investigated by employing the Support Vector Machine (SVM) tool. SVM with four kernel functions is used to forecast the timing of the next failure or repair request in the system for two different products and two different failure types, namely random failure and physical damage. A frequency analysis is also conducted to explore the product quality level based on product failure and the time to repair it. Besides, the best probability distributions are fitted for the number of failures, the time between failures, and the time to repair. The results reveal the value of data analytics and machine learning tools in analyzing post-market product performance and the cost of repair and maintenance operations.

Aplikasi Disain Komposit Pusat Pada Proses Pengecatan Mobil Bekas

The business of buying and selling used cars is increasingly substantial in Indonesia, in the era of globalization progressively developing depends on demands a process that must be fast, precise, and economical. Repair to body, chassis, and engine are competency expertise in the field of Automotive Engineering that emphasizes automotive repair service skills. at now selling price of used cars, it is necessary to do repairs, the process of repairing used cars or better known as refurbishment work pre-owned cars is mostly done by small-scale used car buying and selling businesses. In order for used cars to return to their like-new condition, generally small-scale used car sellers carry out the process of repairing the vehicle themselves, especially repairs to the vehicle's body paint. This study aims to process of painting a Toyota Avanza car bodypaint against the thickness of the paint using a spray booth tool by using the model of central composite design (CCD). The effect of spray-on booth temperature, interstice size of the spray gun, and time according to the thickness of the paint will be analyzed using the CCD method. This spray booth painting technology is expected to help reduce bodypaint lead time. The results of the ANOVA (Analysis of Variance) regression analysis, the temperature of the spray booth, interstice size of the spray gun, and time are the factors that most significantly affect the thickness of the paint. The operating conditions to produce optimal paint thickness are temperature 55oC, interstice size of spray gun of 1.7 mm and time of painting and drying of 30 minutes, the resulted of a thickness of the paint for used and new cars are 130.2 μm and 81.84 μm., with a coefficient of determination for used and new cars of 90.78% and 96.19%.

ASSESSMENT AND FORECASTING OF FREIGHT CAR TECHNICAL STATE

The purpose of this work is the assessment and forecasting of freight car technical state at life stages. The scientific novelty consists in the definition of car operating run-up to the first failure and between failures, and also in the definition of car life to considerable repair fulfillment from the operating run between failures and development of a graphical model of freight car reliability. As a result of the statistic modeling of gondola car operating runs up to the first failure it is defined that the given random value conforms to a normal distribution law, the first car setoff in TOR due to wear failure takes place at the operating run of 85,000 km. Besides the operating run-up to the first failure there was defined an operating run-up between failures. It is proved that the operating run-up between failures conforms to the exponential law of distribution, the mathematical expectation of which is 13,000 km. The results of investigations mentioned above formed the basis of the graphical model of car reliability. An inter-repair service life of a car can be represented as a sum of the following operating run-ups: operating run-ups to the first failure, the product of operating run-ups between failures and the number of failures and a residual operating run-up (from the utmost current repair to the nearest scheduled repair). On the basis of the mentioned it is expedient to consider a technology for the realization of an enlarged repair with the purpose of the repetition exclusion in car setoffs during the inter-repair term. On the basis of the simulator there is obtained the dependence of the frequency of car enlarged current repair fulfillment depending on average operating run-up between failures. At present an enlarged current repair must be carried out only for gondola cars in the planned order after having reached 80,000 km. The repair mentioned can be carried out both under depot conditions, and under conditions of repair workshops. The advantage of such a system of repair consists in the increase car work reliability during the inter-repair term.

Circular Economy: A milestone for Zero Waste Municipality

People around the world generate billion tons of waste. Over two billion tons of solid waste was produced in 2016 and it is estimated to rise to 3.4 billion tons by 2050. The world’s trash amount is reaching crisis and seems to getting bigger and bigger unless we take a systematic action to deal with it. The purpose of this article is to study a methodology for zero waste municipalities, examine the role of a community in addressing municipal waste and moving towards zero waste, and to evaluate how circular economy can contribute in achieving zero waste municipality. Zero waste is likely adopted as a mechanism for waste management, but circular economy is a mechanism for industries and businesses in both eliminating waste and promoting resource efficiency as products are intentionally designed and manufactured to be repurposed and recycled. The result showed that with the circular economy concept, the waste can be reduced at the first stage of prevention as products are designed to use regenerative materials and designing technic to make them last longer and repairable in the light of designing out waste. Also, waste can be getting less and less due to the practices of reuse and repair service which extends product life cycle. Recycling is another practice that contributes to waste elimination as the component parts and materials will be used for manufacturing new products.