Engineering method of fault-tolerant system simulations

Larkin, Eugene; Privalov, Aleksandr

doi:10.5937/jaes17-22032

Cited by 5 publications

(3 citation statements)

References 25 publications

(48 reference statements)

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“…Each of these elements can randomly be in different states that affect the state of the entire system. At the stage of designing electric power systems, it is important to determine the indicators of structural reliability of [24][25][26] elements. In practice, probabilistic models can be used for this, in particular, Markov and semi-Markov models [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Distribution network section reliability analysis based on the semi-Markov model

Sidorov

Lugovkin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The digital training ground of Sevastopol State University (SevSU) is a physical model of a section of an intelligent distribution network of a new generation. In this article, a semi-Markov model of the distribution network section of the SevGU digital training ground is built. The reliability stationary characteristics of the considered section of the network are determined, two cases of consumer nutrition are considered. A numerical example of finding the reliability stationary characteristics using the obtained in the article formulas is given. The obtained results make it possible to analyze the reliability and efficiency of the distribution network sections.

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Section: Introductionmentioning

confidence: 99%

Distribution network section reliability analysis based on the semi-Markov model

Sidorov

Lugovkin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The authors developed a model to characterize the problem and used simulation to study the shipment policy's impact on planning the fabrication-maintenance-shipment. Other studies [5][6][7][8][9][10][11][12] addressed the impact of different imperfect fabrication processes and their consequent actions on productioninventory planning and management.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modelling for multiproduct EPQ problem featuring delayed differentiation, expedited rate, and scrap

Chiu

Lin

Wang³

et al. 2020

IJEM

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The client requirements of present-day markets emphasize product quality, variety, and rapid response. To gain competitive advantages in marketplaces and meet customer needs, manufacturers today seek the most economical and fastest fabrication schemes and strategies to produce their various goods, especially when commonality exists within these multiple end products. Inspired by the above viewpoints, this study uses a mathematical modelling approach for solving a multiproduct economic production quantity (EPQ) problem featuring scrap, delayed differentiation, and expedited rate on the fabrication of the common part. We build a two-stage multiproduct fabrication scheme. Stage one uses an accelerated rate to produce all necessary common parts for multi-item to shorten its uptime, while stage two fabricates finished products sequentially using a rotation cycle rule. Inevitable random scraps produced in both stages are identified and removed to achieve the anticipated quality. We determined the optimal costminimization operating cycle length and used a numerical example to show our model's capability and to explore collective and individual impacts of scrap, expedited-rate, and postponement strategies on various performances of the studied problem (such as uptime of common part, utilization, rotation cycle time, total system cost, and individual cost contributor, etc.) Our model can offer an optimization solution and in-depth managerial insights for fabrication and operations planning in a wide variety of present-day industries, such as automotive, household goods, clothing, etc.

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“…As a result, their study suggested some managerial insights to facilitate better decision-making. Other studies [27][28][29][30][31][32][33][34][35][36][37][38] investigated the influence of distinct imperfect features on production processes and their subsequent corrective actions, and a multi-item, multistage decision model (including generic materials and operations planning) on the operating policy of various supply-chain and fabrication planning, operations, and management. As few past studies have concentrated on exploring the collective and individual impact of product commonality, adjustable-rate, postponement, and rework on multi-item manufacturing decision-making, this study aims to specifically address the aforementioned subject.…”

Section: Introductionmentioning

confidence: 99%

The Collective Influence of Component Commonality, Adjustable-Rate, Postponement, and Rework on Multi-Item Manufacturing Decision

et al. 2020

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The present study explores the collective influence of component commonality, adjustable-rate, postponement, and rework on the multi-item manufacturing decision. In contemporary markets, customer demand trends point to fast-response, high-quality, and diversified merchandise. Hence, to meet customer expectations, modern manufacturers must plan their multiproduct fabrication schedule in the most efficient and cost-saving way, especially when product commonality exists in a series of end products. To respond to the above viewpoints, we propose a two-stage multiproduct manufacturing scheme, featuring an adjustable fabrication rate in stage one for all needed common parts, and manufacturing diversified finished goods in stage two. The rework processes are used in both stages to repair the inevitable, nonconforming items and ensure the desired product quality. We derive the cost-minimized rotation cycle decision through modeling, formulation, cost analysis, and differential calculus. Using a numerical illustration, we reveal the collective and individual influence of adjustable-rate, rework, and postponement strategies on diverse critical system performances (such as uptime of the common part and/or end products, utilization, individual cost factor, and total system cost). Our decision-support model offers in-depth managerial insights for manufacturing and operations planning in a wide variety of contemporary industries, such as household merchandise, clothing, and automotive.

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Engineering method of fault-tolerant system simulations

Cited by 5 publications

References 25 publications

Distribution network section reliability analysis based on the semi-Markov model

Distribution network section reliability analysis based on the semi-Markov model

Mathematical modelling for multiproduct EPQ problem featuring delayed differentiation, expedited rate, and scrap

The Collective Influence of Component Commonality, Adjustable-Rate, Postponement, and Rework on Multi-Item Manufacturing Decision

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