Application of lean tools for improved effectiveness in maintenance of technical systems for special purposes

Epler, Igor J.; Sokolović, Vlada S.; Milenkov, Marjan A.; Bukvić, Milan

doi:10.17531/ein.2017.4.16

Cited by 8 publications

(3 citation statements)

References 11 publications

(12 reference statements)

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“…Evidence of LMn tools implementation is found in various sectors, such as the automotive industry [6,67], aerospace industry [21], power plants [29] textile industry [7,73], food industry [8], oil and gas industry [24,76] among others. Such evidence points to a number of universality and the use of the LMn tools in different contexts and companies, increasing its importance as an approach to continuous improvement [30,70,86]. However, implementation of LMn tools / practices is time consuming and costly process and needs continuous efforts to get effective results.…”

Section: Lean and Maintenancementioning

confidence: 99%

Application of machine learning and rough set theory in lean maintenance decision support system development

Antosz¹,

Jasiulewicz-Kaczmarek²,

Paśko³

et al. 2021

Eksploatacja i Niezawodność – Maintenance and Reliability

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Lean maintenance concept is crucial to increase the reliability and availability of maintenance equipment in the manufacturing companies. Due the elimination of losses in maintenance processes this concept reduce the number of unplanned downtime and unexpected failures, simultaneously influence a company’s operational and economic performance. Despite the widespread use of lean maintenance, there is no structured approach to support the choice of methods and tools used for the maintenance function improvement. Therefore, in this paper by using machine learning methods and rough set theory a new approach was proposed. This approach supports the decision makers in the selection of methods and tools for the effective implementation of Lean Maintenance.

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Section: Lean and Maintenancementioning

confidence: 99%

Application of machine learning and rough set theory in lean maintenance decision support system development

Antosz¹,

Jasiulewicz-Kaczmarek²,

Paśko³

et al. 2021

Eksploatacja i Niezawodność – Maintenance and Reliability

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show abstract

“…Initially, all observations of the functioning of machines and devices are performed by operators during their normal work, such as watching the instrumentation, day-to-day checking of predetermined elements with the use of physical effects such as smell, sounds, vibration, temperature, sight observation, changes of appearance, necessity to apply force etc. Then, after training, the operators perform inspections on their own, take full responsibility for the inspections, maintenance, cleaning, adjustments and small repairs [13,24].…”

Section: Literature Review and Development Of A Structural Research M...mentioning

confidence: 99%

Maintenance of heavy trucks: an international study on truck drivers

Škerlič¹,

Sokolovskij²,

Erčulj³

2020

Eksploatacja i Niezawodność – Maintenance and Reliability

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Since the implementation of modern approaches in operation maintenance, drivers are expected to be integrated into the entire system of maintenance in order to take over the professional competencies of maintenance workers. For this purpose, an international study was conducted on a sample of 249 truck drivers, with the aim to determine how maintenance in transport companies affects the role of heavy truck drivers in fleet maintenance. Based on the developed SEM model, it was determined that building an efficient maintenance infrastructure in transport companies enables the active participation of truck drivers in the company’s maintenance system. Drivers are capable of repairing minor failures, but only if they are proactive, which will affect their preventive behaviour. This can greatly benefit transport companies, as the results show that the vehicles are utilised more efficiently and in a better technical condition. The results therefore represent an important guideline for improving maintenance in transport companies, developing new competencies of truck drivers and upgrading existing knowledge in the development of modern operation maintenance.

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“…On the other hand, the use of high-quality aluminum alloys ensures the benefits of maintaining technical systems, the application of aggregate principles when replacing certain important assemblies and aggregates, whose reliability and reliability directly affect the integrity of the entire complex technical system such as a motor vehicle, and in particular the use of advanced concepts of vehicle maintenance, such as the LEAN maintenance concept. This concept includes primarily: shortening maintenance time, shortening the vehicle's "in failure" time, increasing the vehicle availability ratio, and also the efficiency during vehicle operation [7].…”

Section: Characteristics Of Aluminum and Aluminummentioning

confidence: 99%

Application of Aluminum and Aluminum Alloys in Engineering

Stojаnović¹,

Bukvic²,

Epler³

2018

Applied Engineering Letters

Self Cite

132

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The paper deals with the considerations related to the basic properties and application of primarily aluminum alloys and composite materials for different purposes with the focus on the automotive industry. Through the description of the basic characteristics of aluminum alloys, the starting points for their application in different technical systems are given. On the other hand, the advantages and disadvantages of the use of certain aluminum alloys, along with the guidance and compounds and elements whose use is further enhanced and enriched by aluminum alloys, are predominantly presented. The application of aluminum alloys in the automotive industry, as well as the particular types of aluminum based materials used for individual aggregates and circuits of motor vehicles, as well as their behaviour in different operating modes are imposed as a key chapter of the work. Ultimately, the advantages that are primarily achieved with the vehicle are obtained by the use of aluminum alloys and composites, with the conclusion that there is still space in the field, further improvement of the characteristics of aluminum alloys, and in the field of expansion of the diapason of their application.

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Application of lean tools for improved effectiveness in maintenance of technical systems for special purposes

Cited by 8 publications

References 11 publications

Application of machine learning and rough set theory in lean maintenance decision support system development

Application of machine learning and rough set theory in lean maintenance decision support system development

Maintenance of heavy trucks: an international study on truck drivers

Application of Aluminum and Aluminum Alloys in Engineering

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