IMPROVING THE TECHNICAL READINESS OF THE PARK OF MACHINES BY MAINTENANCE OF INPUT QUALITY CONTROL OF SPARE PARTS

2020 ◽  
Vol 2 (2) ◽  
pp. 9-19
Author(s):  
DMITRIY V. VARNAKOV ◽  
◽  
VALERY V. VARNAKOV ◽  
DMITRIY O. BUROV ◽  
◽  
...  
Author(s):  
E.V. Bondarenko ◽  
◽  
D.A. Dryuchin ◽  
S.V. Bulatov ◽  
◽  
...  

The efficiency of vehicle operation largely depends on the quality of the spare parts used in the maintenance and repair of vehicles. The significance of the factor under consideration is determined by the complex influence on the economic indicators of vehicle operation and on traffic safety indicators. One of the measures aimed at improving the efficiency of operation is the organization of input quality control of spare parts. The costs of conducting and technological complexity of the input control vary significantly for different controlled objects, the effect of its implementation is ambiguous, which determines the relevance of the task of evaluating the effectiveness and expediency of its organization. Based on the urgency of the problem, the aim of the study is to improve the efficiency of the operation of motor vehicles by determining the optimal parameters of the input quality control system for spare parts. The hypothesis is put forward that the introduction of quality control of spare parts in the production cycle of motor transport and service enterprises will increase the efficiency of vehicle operation. To achieve this goal, a mathematical model for evaluating the effectiveness of input quality control of spare parts has been developed. Based on the parameters of the developed model, the target function of the study is de-termined, and restrictions due to the operating conditions of vehicles are established. Based on the results of the analysis of the assessment of the significance of factors that determine the efficiency of transport activities, it is proposed to use the value of total costs, including the likely damage from missing a defective part, unit, or unit, as the main criterion for the effectiveness of input quality control of spare parts . On the basis of the created mathematical model, a methodology for evaluating the feasibility of organizing input quality control of spare parts used in the maintenance and repair of vehicles is developed To confirm the proposed hypothesis, the adequacy of the developed model was checked. One of the largest passenger motor transport enterprises of the city of Orenburg — CJSC «Avtokolonna 1825» was chosen as the base for the study. As a model unit, the gimbal transmission of buses of the KaVZ family is considered. It is established that the direct costs of organizing the input control of this node are compensated by the savings due to the increased reliability of vehicles. But, based on the fact that this reduces the likelihood of road accidents caused by the failure of the cardan transmission, conclusions are drawn about the feasibility of organizing input control.


Author(s):  
N. А. Petrishchev ◽  
I. M. Makarkin ◽  
A. O. Kapustkin ◽  
A. S. Sayapin

The article presents proposals for the possible use of secondary Fund units and aggregates as an Autonomous drive for multifunctional control and diagnostic stands, which will improve the quality of repair of transmission and hydraulic drive units.


Author(s):  
N. Petrishchev ◽  
I. Makarkin ◽  
A. Kapustkin ◽  
A. Sayapin

The article presents proposals for the possible use of secondary Fund units and aggregates as an Autonomous drive for multifunctional control and diagnostic stands, which will improve the quality of repair of transmission and hydraulic drive units.


Author(s):  
A. Sizov ◽  
K. Tretyakov ◽  
G. Boyarko ◽  
I. Shenderova ◽  
I. Ostranitsyn

2021 ◽  
Vol 37 ◽  
pp. 00003
Author(s):  
Ivan Golubev

New high-precision and productive tools are needed due to the increasing requirements to the finishing accuracy of reworked parts and the assembly of units and machines in repair production. One of the most dynamically developing areas of digital production is the use of 3D technologies. They are most actively used in the aviation and automotive industry, as well as in the manufacture of machine elements from various parts. In recent years, there have been some publications on the use of 3D technologies in the repair of machines, including the reconditioning and hardening of parts. The current global trend is the creation of digital measurements and systems for contactless optical quality control of products. The paper and analyzes 3D scanning technologies developed by scientific and educational organizations, as well as presented at various international specialized exhibitions. The analysis and synthesis of information revealed that various laser scanners have been developed and used for 3D scanning, mainly for manufacturing quality control. The study analyzes the possibilities of their use to monitor the geometric parameters of parts of agric ultural machines during the input control of spare parts and repair of machines. 3D scanning has been found to improve measurement accuracy and performance compared to contact tools. The paper presents the main directions of 3D technologies in repair production. A promising area of introducing 3D technologies into repair production is the integrated use of additive technologies and 3D scanning. In case of fault detection using a 3D scanner, the wear value is determined, and the 3D printer recovers the wornout surface taking into account the non-uniformity of wear. Thus, the additive material consumption is reduced from 20 to 90%.


1976 ◽  
Vol 20 (1) ◽  
pp. 1-5 ◽  
Author(s):  
C. G. Drury

Recent progress in the Statistical Quality Control field has led to the design of Sampling plans which do not assume perfect inspection. Simple methods now exist for analyzing the effect of inspector error on the operating characteristic (OC) curve of a plan and further for re-designing the plan so that a predetermined OC curve is obtained. However, the usual assumption made about human inspection error is that it is constant. Many studies show that Type 1 and Type 2 inspector error change systematically with many variables such as input quality, complexity of item inspected, type of fault, standards, individual differences, etc. This paper develops a methodology for including an explicit human inspector model into the sampling plan design. A particular model integrating visual search and decision making (proposed earlier by the author) is used to demonstrate the feasibility of including explicit human inspector data in the design process. The applications of this model to single and double sampling plans are discussed, together with evidence for the validity of the model under laboratory and field conditions.


2020 ◽  
pp. 90-93
Author(s):  
М.М. Юрков ◽  
В.В. Жолудева ◽  
Е.В. Уткин

В статье проанализированы наиболее существенные факторы, влияющие на техническую готовность тракторов к работе, с помощью математико-статистического моделирования. Исследование проведено на одном из сельскохозяйственных предприятий Ярославской области. Техническая готовность техники зависит от множества субъективных и объективных факторов. В результате исследований авторами было выявлено восемь факторов, влияющих на техническую готовность тракторов (затраты на ремонт и техническое обслуживание (ТО) одного физического трактора за год, руб.; затраты на ТО на один эт. га в год, руб.; стоимость материально-технической базы (МТБ) по ремонту и ТО, приходящаяся на один эт. трактор, тыс. руб.; обеспеченность работающими механизаторами на 100 физических тракторов, чел.; наличие механизаторов, имеющих 1–3 классы квалификации, % к общему количеству; доля услуг предприятий сельхозтехники в затратах на ремонт и ТО, %; затраты на запасные части за один год на один эт. трактор, руб.; доля стоимости узлов и агрегатов при ремонте тракторов, %). Для описания процесса были использованы методы многофакторного корреляционного и регрессионного анализа. Выявлено, что наиболее существенное влияние на результативный признак (коэффициент технической готовности тракторов) оказывает величина затрат на ТО в расчёте на один эт. га в год и наличие механизаторов, имеющих 1–3 классы квалификации. Применение предложенной методики, по мнению авторов, обеспечит не только определение технического состояния агрегатов и механизмов, но и сократит время простоя техники, снизит затраты на ТО и технический ремонт, а также на расход запасных деталей и материалов и повысит производительность труда. The article analyzes the most significant factors affecting the technical readiness of tractors for work using mathematical and statistical modeling. The research was carried out at one of the agricultural enterprises of the Yaroslavl region. Technical readiness of machinery depends on many subjective and objective factors. As a result of the research the authors identified eight factors affecting the technical readiness of tractors (repair and maintenance costs (maintenance) of one physical tractor per year, Rub.; maintenance costs per reference unit ha per year, Rub.; the cost of the material and technical base (MTB) for repair and maintenance which is accounted for by reference tractor, RUB, in thousands; provision of working machine operators for 100 physical tractors, people; the presence of machine operators with 1–3 qualification classes, % of the total number; share of agricultural equipment services in repair and maintenance costs, %; service parts costs per year per reference tractor, Rub..; share of components and assemblies cost during tractor repair, %). Multifactor correlation and regression analysis techniques were used to describe the process. It was revealed that the most significant impact on the effective feature (tractor technical readiness factor) is the amount of maintenance costs calculated per reference ha per year and the presence of machine operators with 1–3 qualification classes. The application of the proposed technique according to the authors, will ensure not only the determination of the technical condition of units and mechanisms, but also reduce the out-of-service time of equipment, reduce maintenance and technical repair costs, as well as the consumption of spare parts and materials and increase labor productivity.


Author(s):  
Colin G. Drury

Recent progress in the statistical quality control field has led to the design of sampling plans which do not assume perfect inspection. Simple methods now exist for analyzing the effect of inspector error on the operating characteristic (OC) curve of a plan and further for redesigning the plan so that a predetermined OC curve is obtained. However, the usual assumption made about human inspection error is that it is constant. Many studies show that Type 1 and Type 2 inspector errors change systematically with many variables such as input quality, complexity of item inspected, type of fault, standards, individual differences, etc. This paper develops a methodology for including an explicit human inspector model into the sampling plan design. A particular model integrating visual search and decision making (proposed earlier by the author) is used to demonstrate the feasibility of including explicit human inspector data in the design process. The applications of this model to single and double sampling plans are discussed, together with evidence for the validity of the model under laboratory and field conditions.


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