The problems of optimal design in the automotive industry

Dyakov, Ivan

doi:10.3846/16484142.2013.830645

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…Sumažinti finansavimo ir laiko resursai gamybos procese sudaro visas sąlygas atsirasti prastesnės kokybės automobiliams. Tačiau transporto priemonės gendamumui neabejotinai turi įtakos ir jos eksploatavimo sąlygos, ir vairuotojo kvalifikacija (Dyakov 2013), todėl šio tyrimo rezultatų nereikėtų suabsoliutinti, automobilių gedimus siejant vien tik su gamintoju.…”

Section: Patikimas Automobilis -Kiekvieno Vairuotojo Prioritetasunclassified

Research on Probability for Failures in Vw Cars During Warranty and Post-Warranty Periods / „vw“ Markės Automobilių Gedimų Tikimybės Garantiniu Ir Pogarantiniu Laikotarpiu Tyrimas

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Bartulis

2014

Mokslas – Lietuvos Ateitis

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Transportas Transport Engineering2014 © Straipsnio autoriai. Leidėjas VGTU leidykla "Technika". Šis straipsnis yra atvirosios prieigos straipsnis, turintis Kūrybinių bendrijų (Creative Commons) licenciją (CC BY-NC 4.0), kuri leidžia neribotą straipsnio ar jo dalių panaudą su privaloma sąlyga nurodyti autorių ir pirminį šaltinį. Straipsnis ar jo dalys negali būti naudojami komerciniams tikslams. MOKSLAS -LIETUVOS ATEITIS SCIENCE -FUTURE OF LITHUANIA

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Section: Patikimas Automobilis -Kiekvieno Vairuotojo Prioritetasunclassified

Research on Probability for Failures in Vw Cars During Warranty and Post-Warranty Periods / „vw“ Markės Automobilių Gedimų Tikimybės Garantiniu Ir Pogarantiniu Laikotarpiu Tyrimas

Luneckas

Bartulis

2014

Mokslas – Lietuvos Ateitis

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“…Optimizing the parameters of a vehicle at the design stage was done by using neural network [13]. Hughes et al [14] discussed the factors that motivate the use of electronic vision systems such as wide-an-gle and fish-eye camera technologies in vehicles.…”

Section: Review On Optimization Of Design Parameters Of Rear-view Mirrormentioning

confidence: 99%

“…The normalized decision matrix is shown in Table 5. After that, the weighted normalized decision matrix (W WNM ) is determined using equation (12). Next, the positive ideal solution (V j * ) and negative ideal solution (V j -) are taken from the W WNM and the separation measures are calculated from the ideal solution using equation (13).…”

Section: Determining the Influencing Variables Of Rear-view Mirror Dementioning

confidence: 99%

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Development of Fuzzy Based Intelligent Decision Model to Optimize the Blind Spots in Heavy Transport Vehicles

Pandian¹,

Sundaram

Rajakarunakaran³

2016

PROMET

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Statistics reveals that the visual problems are the primereasons for a larger number of road accidents. The blind spotis the major problem related to vision. The aim of this studyis to develop a fuzzy-based multi criteria decision-makingmodel for optimizing the area of the blind spot in the frontand sides of a heavy transport vehicle. To achieve this, thestatistical tool ANOVA (Analysis of Variance) and multi criteriaoptimization techniques like TOPSIS (Technique for Orderof Preference by Similarity to Ideal Solution), FAHP (FuzzyAnalytical Hierarchy Process) and GRA (Grey RelationalAnalysis) were also used in this problem This paper consistsof three modules: first, the blind spots of the existing bodystructure dimension used in heavy vehicles were studiedand the optimal design parameters were determined by usingANOVA and TOPSIS methodologies; next, the weights ofthe design parameters were calculated using FAHP method.Finally, GRA-based Multi Criteria Decision Making (MCDM)approach has been used to rank the vehicle body structures.The proposed model has been implemented in a transportcorporation to compare four different types of body structuresand concluded that the body structure which was builtby an outsourced body builder is having a smaller area ofblind spot and optimal design parameters as well.

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Non-linear intelligent fuzzy decision-making system for blind spot estimation

Suresh¹,

Vivek

Venkat³

et al. 2023

IFS

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The lack of awareness of blind spots in vehicle transport results in more deaths nowadays. To address this issue, the multi-obstacle detection and measurement of the depth of the nearing vehicle, height, and width is necessary. In recent years, Fuzzy logic is being used to access smart decision-making for control actions. To handle the specific task efficiently, ambiguous and imprecise linguistic data is required. In this context, a non-linear intelligent fuzzy decision-making system has been proposed to estimate blind spots. An inference engine, a defuzzification interface to identify the blind spot both day and night, and a fuzzy rule-base are included. Shadows and edges can be used as linguistic parameters to identify vehicles in the daytime. The lamps are elevated higher than the air dams to avoid casting a shadow under the car at night. One in-sourcing vehicle and three out-sourcing vehicles are tested to determine the driver’s blind spot and a more comfortable driver’s seat and a rear-view mirror using the proposed system. A fuzzy matrix with a triangular number obtained from the crisp matrix is used to alert the driver of the likelihood of a collision using LEDs or buzzers.

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The problems of optimal design in the automotive industry

Cited by 3 publications

References 14 publications

Research on Probability for Failures in Vw Cars During Warranty and Post-Warranty Periods / „vw“ Markės Automobilių Gedimų Tikimybės Garantiniu Ir Pogarantiniu Laikotarpiu Tyrimas

Research on Probability for Failures in Vw Cars During Warranty and Post-Warranty Periods / „vw“ Markės Automobilių Gedimų Tikimybės Garantiniu Ir Pogarantiniu Laikotarpiu Tyrimas

Development of Fuzzy Based Intelligent Decision Model to Optimize the Blind Spots in Heavy Transport Vehicles

Non-linear intelligent fuzzy decision-making system for blind spot estimation

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