Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

Kampa, A.; Gołda, G.; Paprocka, Iwona

doi:10.3390/computers6010010

Cited by 50 publications

(33 citation statements)

References 26 publications

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“…At the early design stage of the manufacturing system, there is a problem of how to determine the real difference in work efficiency between a human and a robot. The aim of the study, which is a continuation of our previous works [3][4][5] is to develop a methodology, which allows to clearly define the productivity growth associated with the replacement of human labour by industrial robots.…”

Section: Introductionmentioning

confidence: 99%

“…Sci. 2019, 9, x FOR PEER REVIEW 2 of 14 continuation of our previous works [3][4][5] is to develop a methodology, which allows to clearly define the productivity growth associated with the replacement of human labour by industrial robots. Modern manufacturing systems are very complex and difficult to analyse, therefore many methods are used (including mathematical modelling, combinatorial optimization, Petri nets, and scenario analysis) for solving the above mentioned problem [6].…”

Section: Introductionmentioning

confidence: 99%

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Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is a proper methodology—how can we determine the real difference in work efficiency between human and robot at the design stage? Therefore, an analysis of the productivity and reliability of the machining line operated by human operators or industrial robots is presented. Some design variants and simulation models in FlexSim have been developed, taking into consideration the availability and reliability of the machines, operators and robots. Traditional productivity metrics, such as the throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system, therefore we apply the OEE (overall equipment effectiveness) metric to present how the availability and reliability parameters influence the performance of the workstation, in the short and long terms. The implementation results of a real robotic line from industry are presented with the use of the overall factory efficiency (OFE) metric. The analysis may help factories achieve the level of world class manufacturing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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“…It could be easily noticed thatthis structure is strictly oriented on machining cycles. Moreover, the characteristic feature of it is its simplicity compere to other structures for example presented in [3]. This simplicity results from fact that the internal structure of the particulars classes is more complex than in case of the complex class structures but with less complex structures of the classes.…”

Section: Extended Stock Removal Cycle950mentioning

confidence: 99%

An attempt of CNC machining cycle’s application as a tool of the design feature library elaboration

et al. 2017

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Abstract.This paper presents a novel approach to a problem of the design feature library elaboration. As a tool of the design feature library development CNC machining cycles were proposed. Because of the great number of commercially available CNC machine controllers, with different CNC machining cycles definitions, it was necessary to make a decision about a research methodological framework, it is the selected CNC machine controller. Taking into account the criterion of popularity as the research framework the selected group of Sinumerik CNC machine controllers was chosen. Presented in the paper idea of the feature library development is based on an assumption saying that it is possible to find a relationship between a particular CNC machining cycle and the simple design feature or even compound design features. Identified, thanks to this assumption, set of the design features could be the base for elaboration of the design feature library. This solution, it is the feature library next gave opportunity for elaboration of the feature based design modelling module (FBDMM) working in the SIEMENS NX system environment. Hence, the FBDMM module can support both a designer and CNC machine programmer which is possible due to received in the module modelling paradigm. In FBDMM module the removal feature based modelling technique is received.

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“…Based on the analysis of these models in terms of their compatibility with the conditions in which mining operations take place and the specificity of mining machines, as well as the results of the publications mentioned, the authors decided to use the Overall Equipment Effectiveness (OEE) model, which is a quantitative tool for assessing the Total Productive Maintenance (TPM) strategy [9,11,26,[32][33][34][35][36][37], to analyse the mining machines' operation. Therefore, to assess the effectiveness of mining production, research was undertaken to determine the actual utilisation degree of the machines used in mining production.…”

Section: Introductionmentioning

confidence: 99%

Analysing the Utilisation Effectiveness of Mining Machines Using Independent Data Acquisition Systems: A Case Study

Brodny

Tutak

2019

Energies

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Growing competition in the market for energy raw materials needed for power generation has led to an increasing number of measures being undertaken in the mining sector to reduce the unit costs of mining production. One of the areas that offer considerable savings in this regard is the utilisation of the technical resources owned by mines. This article is therefore focussed on analysing the utilisation effectiveness of these machines, based on the data recorded by industrial automation systems, as well as on measurements from independent surveying and chemical analysis of the excavated material’s quality. For this purpose, a methodology was developed to use the data about the operational parameters of the machines in order to analyse the effectiveness of their utilisation. It was assumed that the reliability of this assessment would depend mainly on the quality of the data used to conduct it. It was also assumed that using independent data sources for the analysis would provide objective and reliable information on the operation of the machines, devoid of any subjective feelings of the personnel or other factors. The developed methodology, based on a modified Overall Equipment Effectiveness (OEE) model, was used to analyse four machines that comprise the automated longwall system. Values were determined for each machine, including their availability, performance and product quality. This, in turn, made it possible to determine a total effectiveness indicator, based on a modified Overall Equipment Effectiveness (OEE) model, for the particular machines and the entire technical systems they form. The obtained results were used to assess the effectiveness of their utilisation and recommend corrective measures aimed at improving this metric. Moreover, the analysis results made it possible to assess the utilisation status of the machines in question. They also served as the basis for determining further lines of research, the purpose of which is to improve the effectiveness of the mining sector. The obtained results indicated that this process requires the wide application of IT tools, especially for data archiving and analysis. These tools, along with the developed model and methodology based on the analysis of large volumes of digital data, are in accord with the activities related to the implementation of Industry 4.0 idea in mining. It is the authors’ opinion that the material at hand should find a wide range of practical applications in supporting the management of technical resources within the mining sector.

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Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems

Cited by 50 publications

References 26 publications

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

An attempt of CNC machining cycle’s application as a tool of the design feature library elaboration

Analysing the Utilisation Effectiveness of Mining Machines Using Independent Data Acquisition Systems: A Case Study

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