Changing of the Maintenance System in the Production Plant with the Application of Predictive Maintenance

Daneshjo, Naqib; Malega, Peter

doi:10.18421/tem92-03

Cited by 3 publications

(6 citation statements)

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“…(P Hybrid-BN ) 0.81 = 6.43031 − 0.231142Cv − 0.092833T + 0.008571Nr − 0.002235CvT − 0.036615CvNr − 0.000215TNr + 0.001038CvTNr (7) Variable from Equations ( 4)-( 7) are as follows: The values calculated by Equations ( 4)-( 7) must be transformed by the Equation ( 8).…”

Section: Resultsmentioning

confidence: 99%

“…After adopting various lean techniques, mainly, value stream mapping, takt time and line balancing, authors reported improvement of assembly line efficiency up to 97%, as well as reductio of lead time about 13%. A similar case study of the application of lean production in small series production company is presented in [7]. After analyzing and eliminating waste, productivity has been improved, as well as lead time [7].…”

Section: Lean and Productivitymentioning

confidence: 99%

“…A similar case study of the application of lean production in small series production company is presented in [7]. After analyzing and eliminating waste, productivity has been improved, as well as lead time [7]. The application of lean tools, value stream mapping and waste elimination in the context of increased productivity is presented also in [8,9].…”

Section: Lean and Productivitymentioning

confidence: 99%

“…The aim of this study was to research the influence of bottleneck on productivity with respect to different pull control mechanisms, in different production conditions defined by level of variations, number of pull control cards and processing time. The influence of lean manufacturing implementation on productivity is well described in literature [5][6][7][8][9]. Adoption of lean manufacturing results in an increase of productivity not just in production processes, but also in the design of a product.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

Tošanović

Štefanić

2022

Applied Sciences

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The goal of any lean implementation in production process is achieving better production performances and one of them is productivity. Among many lean principles, pull principle is the most complex to achieve. There are different production control mechanisms for achieving pull and making decision which one to apply can be demanding because sometimes it is not obvious which is the best for specific situation. Many different production parameters influence production process and for one production setting, one control mechanism is the best choice, but for another production setting it might not be. One goal of this study was to research the influence of bottleneck in the production process in regard to achieving better productivity by applying pull principle. Some of the literature considered deals with the topic of bottleneck and pull but focuses only on bottleneck or in addition on one another production parameter and most of the literature studies up to three different pull control mechanisms. One of the objectives of this study was also to fill the research gap in a way to investigate more mechanisms, particularly, according to the literature, those most widely used in various production conditions with emphasis on bottleneck. The advantage of this research is that in addition to the bottleneck, other parameters, namely the number of control cards, variations and processing time are considered. For that reason, simulation experimentation was conducted and as a result regression functions modelling the relationship between productivity and mentioned parameters for four different pull control mechanisms are gained. The analysis showed that the existence of a bottleneck affects the effectiveness of pull mechanisms in terms of productivity.

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Section: Resultsmentioning

confidence: 99%

Section: Lean and Productivitymentioning

confidence: 99%

Section: Lean and Productivitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

Tošanović

Štefanić

2022

Applied Sciences

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“…The success of modern engineering production strategies is based on the application of new approaches and design methods. It is necessary to solve complex problems of project tasks of which the following is typical [1,4]:…”

Section: Production System Model and Methodological Procedures Of Designingmentioning

confidence: 99%

Methodological Procedures Applied to the Manufacturing Systems Design

Daneshjo¹

2020

Adv. Sci. Technol. Res. J.

Self Cite

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The designing activity has to result in completely new autonomous units sections of complex manufacturing processes and their systems. The solutions must be related to a number of new issues, not only of a technical and technological nature. The solutions designed for new types of interactions between people and technology will be required, and so will be the necessary skills and knowledge. New legal, security, economic, political and ethical solutions to relevant issues will be needed.

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Competencies of Industrial Engineers for Implementing Augmented Reality Metadata Systems

et al. 2022

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The paper focuses on the use of augmented reality (AR) by industrial engineers, especially for determining the necessary competencies required for its use. Industrial engineers are not inherently programmers. Nevertheless, augmented reality is a modern trend in their field, especially in relation to the concept of Industry 4.0 and industry in general, where it has a higher potential than virtual reality. In the first part of this paper, we placed augmented reality and the competencies required for its use in the context of industrial engineering. Subsequently, we described our own methods of implementing an augmented reality industrial metadata visualization system, namely Help Lightning Fieldbit and Unity 3D, using the Vuforia extension. We chose the metadata used in the methods with regard to their environmental potential. In this part of the paper, we also described the chosen and applied testing methodology using a questionnaire survey. Subsequently, we described the results from the questionnaire surveys of both these approaches of implementing augmented reality methods. Finally, we evaluated the results and compared them with each other and with results from other authors. As the results show, the most important competencies for creating the described AR environments are analytical competencies. We draw conclusions from the collected data regarding the necessary competencies for the creation of AR scenes using these methods and their deployment in industry, including an outline for further research.

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Changing of the Maintenance System in the Production Plant with the Application of Predictive Maintenance

Cited by 3 publications

References 0 publications

Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

Influence of Bottleneck on Productivity of Production Processes Controlled by Different Pull Control Mechanisms

Methodological Procedures Applied to the Manufacturing Systems Design

Competencies of Industrial Engineers for Implementing Augmented Reality Metadata Systems

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