End-of-life Vehicles Research Articles

Natural fiber‐reinforced light composites for the automotive industry

AbstractA European Directive on End‐of‐Life Vehicles (ELVs) established minimum reuse and recovery thresholds of automotive materials based on the weight of the vehicle, to improve fuel efficiency and therefore reduce the CO2 emissions. However, to replace a virgin material, recycled materials must guarantee adequate properties. In this work, low‐density lignocellulosic materials were adopted as “green” reinforcement for recycled polypropylene. In particular, variations in density, thermal resistance, mechanical properties, moldability, and thermal conductivity of a recycled polypropylene (PP) compounded with cork, hazelnut shells, and hazelnut skins (i.e. the cuticle that wraps the fruit inside the shell) were evaluated. The experimental results showed an improvement in thermal resistance and mechanical resistance at high temperatures, without substantially altering the density and thermal conductivity of PP. Among the various fillers analyzed, hazelnut skins seem to give the best results in terms of thermal and mechanical resistance and moldability.Highlights Cork, hazelnut skin and shell stand out as low‐density natural fillers for recycled polypropylene All the natural fillers increase the thermal stability of polypropylene The low‐density fillers enhance the mechanical properties of polypropylene at high temperatures Fillers do not substantially alter the density and thermal conductivity of polypropylene The addition of hazelnut skins allows an enhancement of the moldability of polypropylene

A review on European sustainable practices in end-of-life vehicles management.

The management of end-of-life vehicles (ELVs) has become a significant environmental and economic challenge due to the substantial volumes of hazardous waste generated. This article analyses sustainable practices in ELV management across Europe, with a focus on contributions to the circular economy. The systematic literature review, conducted for articles published in the period 2016-2024, identifies five topics: (1) policy and regulatory frameworks evaluations and suggestions; (2) economic and environmental benefits through optimization modelling; (3) trends and performances analysis; (4) advanced treatment technologies and their impact and (5) economic and environmental impacts assessments. The findings highlight the importance of state-of-the-art recycling processes and coordinated stakeholder efforts in improving ELV management outcomes. In addition, the correlation between ELVs recycling and gross domestic product (GDP) was analysed. Data analysis for 27 European countries in the period 2016-2021 shows a moderate correlation. Specifically, countries with stronger economies tend to produce more ELVs, distinguishing two clusters when GDP is 35,000 € per capita. By adopting best practices and innovative approaches, European countries can enhance their ELV management systems, support a more circular economy and sustainable development. This work highlights the possible correlation between GDP per capita and ELV recycling rates across the European Union, the identification of economic clusters, and the critical role that advanced recycling technologies play in improving sustainability.

Task Allocation and Sequence Planning for Human-Robot Collaborative Disassembly of End-of-Life Products Using the Bees Algorithm.

Remanufacturing, which benefits the environment and saves resources, is attracting increasing attention. Disassembly is arguably the most critical step in the remanufacturing of end-of-life (EoL) products. Human-robot collaborative disassembly as a flexible semi-automated approach can increase productivity and relieve people of tedious, laborious, and sometimes hazardous jobs. Task allocation in human-robot collaborative disassembly involves methodically assigning disassembly tasks to human operators or robots. However, the schemes for task allocation in recent studies have not been sufficiently refined and the issue of component placement after disassembly has not been fully addressed in recent studies. This paper presents a method of task allocation and sequence planning for human-robot collaborative disassembly of EoL products. The adopted criteria for human-robot disassembly task allocation are introduced. The disassembly of each component includes dismantling and placing. The performance of a disassembly plan is evaluated according to the time, cost, and utility value. A discrete Bees Algorithm using genetic operators is employed to optimise the generated human-robot collaborative disassembly solutions. The proposed task allocation and sequence planning method is validated in two case studies involving an electric motor and a power battery from an EoL vehicle. The results demonstrate the feasibility of the proposed method for planning and optimising human-robot collaborative disassembly solutions.

Analytic Hierarchy Process Based-Evaluation of Dismantling Practices on End-Life-Vehicle for Automobile Workshops

Nowadays, the number of end-of-life vehicles (ELVs) has increased due to increased automobile production. One of the crucial in processing ELVs is dismantling. However, most of the developing countries still have limited specific dismantling infrastructure. Most of the ELV management started at the automobile workshop. Hence the purpose of this paper is to study the effectiveness of dismantling ELV in automobile workshops. This paper focuses on identifying and analysing factors that can affect the effectiveness of dismantling ELV in automobile workshops. A literature survey has been conducted to identify the factors that influence the effectiveness of ELV's dismantling in automobile workshops. A total of 30 factors are obtained which are further classified into five main factors which are human resources (HR), ELV facilities (EF), ELV material (EM), cost concern (CC), and customer-driven (CD). An approach based on Analytical Hierarchy Process (AHP) is utilized to analyse the factors for developing a list of priority of these factors. The result of this study shows that workshop owner experience in ELV dismantling management, worker skills of ELV dismantling, enough dismantling space, development of suitable tools, and dismantling difficulties of ELV material are identified as the top five factors affecting the effective of ELV dismantling in automobile workshop. The automobile workshop or any policymakers can use the priority list of factors developed in this paper's findings for managing the dismantling process in the automobile workshop.

Enhancing the recyclability of ELV plastic bumpers: Characterization of molecular, morphological, rheological, mechanical properties and ageing degradation

While the automotive industry has traditionally prioritized metal recycling, the increasing use of plastics in vehicles underlines the need for sustainable management of these materials. Recycling rates of plastics from end-of-life vehicles (ELVs) in Europe are low, but recent EU legislation requires 25 % of the plastics in new vehicles to be recycled, forcing innovative designs and strategies to enhance the recovery and quality of recycled resins. This study focuses on post-consumer bumpers, a significant recoverable component of ELVs, by assessing their molecular, morphological, rheological, and mechanical properties to investigate their homogeneity and quality from various sources to assess their suitability for recycling. Since the aging of these materials, caused by thermo-oxidative and thermo-mechanical degradation processes, can compromise the quality of recycled bumpers, we propose a blend of recycled PP from different bumper cars with virgin resin, representing a realistic scenario where the post-consumer ELV bumpers are collected. Interestingly, this blend, which can replace up to 50 % of the virgin resin without additional compatibilizers or additives, mitigates the degradation effects. Furthermore, the study evaluates the degradation resistance of these blends through multiple extrusion cycles and accelerated weathering tests in a temperature-controlled UV chamber to ascertain the number of cycles the material can tolerate without significant quality degradation, and to determine its suitability for long-term applications. Our results not only support the feasibility of using recycled PP for automotive components but also contribute to meeting the EU's recycling targets. This research highlights the potential for significant advances in the circularity of automotive plastics, providing a sustainable pathway for integrating recycled materials into new vehicle production.

Intelligent location-routing for sustainable reverse supply chain of end-of-life vehicles considering awareness cost and carbon penalty

This paper presents a comprehensive investigation into optimizing the reverse supply chain for end-of-life vehicles (ELVs) with a focus on sustainability considerations, including awareness cost and carbon penalty. A novel three-objective mathematical model is developed, leveraging fuzzy logic to address the complex nature of the problem. Two multi-objective algorithms, the Grey Wolf Optimizer (GWO) based on the Pareto boundary and the NSGA-II algorithm, are deployed to solve the model. A case study in China is conducted to validate the proposed model, with results compared against the outcomes of the algorithms. Additionally, a sensitivity analysis approach is employed to assess the impact of awareness cost and carbon penalty parameters. Furthermore, the Taguchi experimental design method is utilized to identify the optimal combination of parameter values. The findings reveal that the GWO algorithm surpasses NSGA-II in terms of solution quality and diversity, although NSGA-II demonstrates superior performance in uniformity and computational time. The sensitivity analysis highlights the positive correlation between increased awareness cost and various performance metrics, such as the number of collected vehicles, economic profit, and social profit, while also indicating a reduction in environmental impacts. Conversely, escalating carbon penalties leads to a decrease in the acceptance and processing of vehicles within the supply chain, resulting in diminished chain and social profits, despite the decrease in carbon penalties.

Overview on aluminium alloys as sinks for end-of-life vehicle scrap

Abstract A fundamental principle in metallurgy is that the higher the purity of metals and alloys, the more favourable their properties will be. However, as the recycling of materials in production becomes increasingly significant, the levels of impurities are also on the rise. In the case of aluminium, the consequences can be detrimental due to the low solubility of most elements in this metal, which leads to the formation of brittle intermetallic phases (IMPs). Moreover, once impurities have entered aluminium, it is difficult to remove them. In 2017, almost 100 million cars were produced worldwide. Historically, vehicle design prioritised performance, resulting in a multi-material mix to utilise the best materials for each application. This included over 40 different wrought and cast aluminium alloys, Cu-based materials for electrics, and steels for high-strength applications. In the recycling of end-of-life vehicles (ELVs), high purity wrought Al alloys are today down-cycled to low purity cast engine blocks. However, recent advancements show that the drawback of increase IMP-fractions can be turned into benefits through the strategic design of heterostructured alloys. A first successful alloy example from this approach enables interesting forming properties, previously only found in 5xxx series wrought aluminium alloys, in combination with a matrix composition and age-hardening potential known from 6xxx series wrought aluminium alloys. A second examples reviews compositions directly resulting from ELV scrap. By manipulating IMPs it is feasible to create heterostructures with an interesting balance of strength and ductility. These approaches challenge traditional views, allowing for a greater volume fraction of intermetallic phases. Understanding the formation and role of intermetallic particles is crucial. This work gives an overview to the current problem and the state of the art and addressed the potential of upcycled aluminium alloys that tolerate high impurity levels by using intermetallic phases as impurity sinks.

Strategic Legal Framework for Recycling of Old Vehicles in India (Extended Vision of Swachcha Bharat Mission)

India’s rapid urbanization and increasing vehicle ownership have led to a significant rise in the number of old vehicles on the roads, contributing to environmental degradation and posing a challenge to sustainable development. Recycling of end-of-life vehicles (ELVs) offers a solution by reducing pollution, conserving resources, and promoting a circular economy. This paper examines the current legal framework for vehicle recycling in India, identifies gaps, and proposes strategic measures to establish a robust legal infrastructure. The study also explores global best practices and their potential application in the Indian context.

Uncovering pathways towards sustainable transportation: Investigating factors influencing societal acceptance of end-of-life vehicle management in Indonesia.

Addressing the critical environmental challenge of end-of-life vehicle (ELV) management in Indonesia's transportation industry, this study investigates the complex interplay between societal factors and technical adoption. We use a comprehensive survey and path analysis to investigate the relationships between demographic characteristics (gender, age, income and education) and ELV acceptance, revealing complex preferences and concerns across several population groups. Comparative analyses with previous research reveal gender-specific inequities and age-related problems, emphasizing the importance of customized measures. Our findings indicate that environmental concerns exhibit a significant positive relationship with community acceptance (path coefficient = 0.426, p < 0.001). Moreover, technological familiarity (path coefficient = 0.352, p < 0.001) and infrastructure availability (path coefficient = 0.518, p < 0.001) demonstrate noteworthy positive associations, emphasizing the role of knowledge and accessible infrastructure in promoting acceptance. Conversely, the cost of adoption exhibits a negative relationship with societal acceptance (path coefficient = -0.269, p < 0.001), suggesting potential challenges that must be addressed. Mediation analysis uncovers the mediating roles of information exposure, perceived safety, as well as convenience and accessibility. Total effects analysis validates the collective influence of crucial factors while acknowledging the potential hindrance posed by the cost of adoption. Our findings contribute to inclusive policies and initiatives for sustainable ELV practices, offering insights to address a critical environmental issue in Indonesia. Although acknowledging limitations in scope and methodology, our research advances the discourse on sustainable transportation transitions and guides strategies to promote responsible ELV management in pursuing a greener and more socially equitable future.

Social Factor to Determine Social Acceptance Toward ELV Management

Abstract Indonesia, as a country with a highly developed automotive sector, is ranked 2nd under Thailand in the number of 4-wheeled vehicle production. However, the high number of automotive industries in Indonesia has directly threatened the high number of vehicles classified as end-of-life vehicles (ELV). Until now, Indonesia has been unable to address the ELV problem adequately; all efforts have been made to reduce the number of vehicles that are not suitable for use in Indonesia, such as the implementation of periodic emission tests, euro 2 and euro 4. Still, this regulation has not received a positive response from the public. This study attempts to test the previously designed acceptance model, in which external and internal factors from within the individual are considered. The findings of this study provide an overview of the social acceptance model for new policies, indicating that the government must consider each factor before developing and implementing new regulations.

An Improved Framework for Managing Uncertainties in Vehicle Recycling: A Case Study Approach at Multiple Malaysian Automotive Treatment Facilities (ATF)

The legislation for end-of-life vehicles (ELV) is anticipated to be fully enforced, and public awareness is likely to grow over the next few years, assuring the profitability of Malaysia’s ELV recycling enterprises in the future. However, the current state of ELV recycling operations is fraught with uncertainty, which has hampered this industry’s expansion. Thus, this study aims to identify critical uncertainties and provide suitable strategies to mitigate these uncertainties. A case study of multiple automotive treatment facilities (ATFs) in Malaysia was employed to conduct this study. A structured questionnaire comprising both closed-ended and open-ended questions was provided to Malaysian ATFs, and site observations were conducted to investigate the ATFs' production settings. Cross-case synthesis was utilised to compare the cases studied. Meanwhile, the closed-ended questions are assessed on a five-point Likert scale, and the responses were analysed with ATF to conduct the descriptive analysis. As a result, a cross-case synthesis between the ATFs was presented and the uncertainties in ELV recycling operation were identified, consisting of ELV supply (M = 4.250), ELV recycling costs (M = 4.188), ATF infrastructure (M = 4.125), production planning (M = 3.875), ELV characteristics (M = 3.550), and ELV distribution network (M = 2.833). In addition, a conceptual framework for improving the ELV dismantling system in Malaysia’s ATF was proposed. The novelty of this study is a detailed analysis of existing uncertainties in ELV recycling operation in the Malaysian context and an improved framework to enhance the ELV dismantling system for ATFs in Malaysia.

End-of-life vehicle dismantling activity emits large quantities of phthalates and their alternatives: New insights on environmental sources and co-exposure risks

Automotive interiors have been identified as significant sources of various chemicals, yet their occupational hazards for end-of-life vehicle (ELV) dismantlers remain poorly characterized. Herein, eight classes of plasticizers, including 11 phthalates esters (PAEs) and 16 non-phthalates esters (NPAEs), were detected in dust samples from inside and outside ELV dismantling workshops. Moreover, indoor dust from ordinary households and university dormitories was compared. The indoor dust from the ELV dismantling workshops contained the highest concentrations of plasticizers (median: 594 μg/g), followed by ordinary households (296 µg/g), university dormitories (186 µg/g), and outdoor dust (157 µg/g). PAEs remained the dominant plasticizers, averaging 11.7-fold higher than their NPAE alternatives. Specifically, diisononyl phthalate and trioctyl trimellitate were notably elevated in workshop dust, being 15.5 and 4.78 times higher, respectively, than in ordinary household dust, potentially indicating their association with ELV dismantling activities. The estimated daily intake of occupational ELV dismantling workers was up to five times higher than that of the general population. Moreover, certain dominant NPAEs demonstrated nuclear receptor interference abilities comparable to typical PAEs, suggesting potential toxic effects. This study is the first to demonstrate that ELV dismantling activities contribute to the co-emission of PAEs and NPAEs, posing a substantial risk of exposure to workers, which warrants further investigation.

Comparing End-of-Life Vehicle (ELV) and Packaging-Based Recyclates as Components in Polypropylene-Based Compounds for Automotive Applications.

Increasing recycled plastic content in cars to 25% by 2030 is one of the key measures for decarbonizing the automotive industry defined by the European Commission. This should include the recovery of plastics from end-of-life vehicles (ELVs), but such materials are hardly used in compounds today. To close the knowledge gap, two ELV recyclate grades largely based on bumper recycling were analyzed in comparison to a packaging-based post-consumer recyclate (PCR). The composition data were used to design polypropylene (PP) compounds for automotive applications with virgin base material and mineral reinforcement, which were characterized in relation to a commercial virgin-based compound. A compound with a 40 wt.-% ELV-based bumper recyclate can exceed one with just a 25 wt.-% packaging-based recyclate in terms of stiffness/impact balance. While the virgin reference can nearly be matched regarding mechanics, the flowability is not reached by any of the PCR compounds, making further development work necessary.

Forecasting End-of-Life Vehicle Generation in the EU-27: A Hybrid LSTM-Based Forecasting and Grey Systems Theory-Based Backcasting Approach

End-of-life vehicle (ELV) forecasting constitutes a crucial aspect of sustainable waste management and resource allocation strategies. While the existing literature predominantly employs time-series forecasting and machine learning methodologies, a dearth of studies leveraging deep learning techniques, particularly Long Short-Term Memory (LSTM) networks, is evident. Moreover, the focus on localized contexts within national or municipal boundaries overlooks the imperative of addressing ELV generation dynamics at an international scale, particularly within entities such as the EU-27. Furthermore, the absence of methodologies to reconcile missing historical data presents a significant limitation in forecasting accuracy. In response to these critical gaps, this study proposes a pioneering framework that integrates grey systems theory (GST)-based backcasting with LSTM-based deep learning methodologies for forecasting ELV generation within the EU until 2040. By introducing this innovative approach, this study not only extends the methodological repertoire within the field but also enhances the applicability of findings to supranational regulatory frameworks. Moreover, the incorporation of backcasting techniques addresses data limitations, ensuring more robust and accurate forecasting outcomes. The results indicate an anticipated decline in the recovery and recycling of ELVs, underscoring the urgent need for intervention by policymakers and stakeholders in the waste management sector. Through these contributions, this study enriches our understanding of ELV generation dynamics and facilitates informed decision-making processes in environmental sustainability and resource management domains.

Automotive Remanufacturing Capability for End of Life Vehicle (ELV) in Malaysia

The Malaysia Automotive Remanufacturing Roadmaps (MAAR) outline policies and technologies to transform the automotive used part sector into remanufacturing. Remanufacturing processes offer significant benefits, hence the need for transformation, despite the substantial availability of used automotive products. The automotive industry in Malaysia has experienced considerable growth and development, leading manufacturers to incorporate remanufacturing into their business operations. Recently, research has concentrated on end-of-life vehicle (ELV) management. Malaysia has no specific period for the end-of-life (ELV) regulation policy. It is essential to consider the proper disposal of these vehicles once they have reached the end of their useful life. The number of abandoned cars is increasing, leading to significant costs for society regarding removal and disposal expenses and other indirect costs due to environmental degradation. Addressing this issue will positively impact both the environment and the economy. This study explores how industries’ capabilities can face sustainability goals under the National Automotive Policy (NAP) 2020 and gain insights into how the remanufacturing process works. Therefore, it is imperative to establish remanufacturing as a norm within automotive practices.

Bioaccessibility of halogenated flame retardants and organophosphate esters in settled dust: Influences of specific dust matrices from informal e-waste and end-of-life vehicle processing areas in Vietnam

Bioaccessibility of halogenated flame retardants (HFRs) and organophosphorus esters (OPEs) is necessarily investigated to provide more accurate risk assessment and information about absorption behavior of these pollutants. In this study, total and bioaccessible concentrations of HFRs (including legacy and alternative substances) and OPEs were determined in settled dust samples collected from Vietnamese e-waste and end-of-life vehicle (ELV) processing areas. Concentrations of both HFRs and OPEs were significantly higher in the e-waste dust than ELV dust. Bioavailability of HFRs and OPEs in dust was determined by using an in vitro assay with human-simulated digestive fluids, dialysis membrane, and Tenax® TA sorptive sink. Bioaccessibility of HFRs was markedly lower than that of OPEs, which could be largely due to higher hydrophobicity of HFRs compared to OPEs. Bioaccessibility of almost hydrophobic compounds were markedly lower in the e-waste dust (containing micronized plastic debris) than in the ELV dust (containing oily materials), suggesting the influence of specific dust matrices on pollutant bioaccessibility. Although the daily uptake doses of selected HFRs and OPEs from dust were markedly higher in the e-waste sites compared to the ELV sites, the direct exposure risk was not significant. Our results suggest that bioaccessibility can partly explain the differences between dust and uptake profiles, which may relate to accumulation profiles of HFRs and OPEs in human samples.

Designing a Reverse Logistics Network for End-of-Life Vehicles in an Uncertain Environment

The strategic development of reverse logistics networks is crucial for addressing the common challenge of low recovery rates for end-of-life vehicles (ELVs) in China. To minimize the total cost of the reverse logistics network for ELVs, this paper proposes a mixed-integer linear programming (MILP) model. The model considers the recycling volume of different vehicle types, facility processing capacity, and the proportions of parts and materials. Building on this foundation, a fuzzy mixed-integer nonlinear programming (FMINLP) model is developed to account for the inherent uncertainty associated with recycling volumes and facility processing capacities. The model was solved using Lingo, and its effectiveness was validated using Jiangsu Province of China as a case study, followed by a sensitivity analysis. The results indicate that dismantling and machining centers incur the highest processing costs. Variations in recycling volume and facility handling capacity significantly impact total costs and site selection, with the former having a more pronounced effect. Increasing facility processing capacity effectively increases the recovery rate. Moreover, a higher confidence level corresponds to higher total costs and a greater demand for facilities.

N-type-2-ARAS: An efficient hybrid multi-criteria optimization approach for end-of-life vehicle’s recycling facility location: A sustainable approach

End-of-life vehicle (ELV) management is currently one of the most pressing environmental issues. Waste must be recycled to ensure that ELV management is both environmentally and economically sustainable. Cairo boasts the greatest percentage of Egyptian citizens who own a car and the country's oldest automotive fleet. There is a great desire to open a new ELV recycling factory in this city. One of the most difficult strategic issues facing decision-makers is determining where to build new facilities. ELV recycling facility selection is a multi-criteria and highly uncertain challenge, and this research presents a novel approach to help with the process. An extension of the Additive Ratio Assessment (ARAS) approach in a neutrosophic type-2 environment ((N-type-2 ARAS)) is described for the first time. The new approach (N-type-2 ARAS) is used to choose an ELV recycling facility location. The proposed N-type-2 ARAS method's potential and applicability are illustrated in the context of a real-life case study in Egypt. This study used five main criteria, twenty sub-criteria, and four alternatives (locations) to select the best location. The results show that Luxor is the best location. This method has been proven reliable and consistent compared to the current state-of-the-art interval type-2 fuzzy set-based MCDM methods. This study's sensitivity analysis was conducted to show rank stability from the (N-type-2 ARAS) methodology.

Optimization of Parameters for Fluidized Bed-Type Tribo-Electrostatic Separation of End-of-Life Vehicle Waste Polymer Particles by Response Surface Methodology

End-of-life vehicles (ELVs) have resulted in huge quantities of waste vehicle polymers, the reuse of which could be effective in mitigating pollution and creating economic value. Based on the developed fluidized bed-type electrostatic separation equipment, this paper investigated the separation of two groups of commonly used mixed vehicle-use polymer particles, namely, acrylonitrile-butadiene-styrene (ABS)-polyamide (PA)-polypropylene (PP) (black) and polyethylene (PE)-PP (white)-polyvinyl chloride (PVC). First, the force of the particle in an electric field was analyzed, and the kinetic model of the particle in a high-voltage electrostatic field was established. Then, individual factor experiments were conducted on the fluidization time (T), the first-stage electrostatic separation chamber electrode voltage (U 1), the second-stage electrostatic separation chamber right field electrode voltage (U 3) and the second-stage electrostatic separation chamber left field electrode voltage (U 5) to investigate the pattern of separation results affected by each of these factors, individually. Finally, based on response surface methodology (RSM) experiments, the effects of the abovementioned three factors and their interactions on the purity of the separation of the three types of particles in each group were analyzed. The optimum separation parameters for ABS-PA-PP (black) particles in the experiments were determined as follows: T of 385 s, U 1(U 3) of −32 kV and U 5 of −37 kV. The optimum separation parameters for PE-PP (white)-PVC particles were found as follows: T of 398 s, U 1(U 3) of −40 kV and U 5 of −38 kV. The experimental validation of the abovementioned parameters obtained the purities of the three set of ABS-PA-PP (black) types of particles being 95.67%, 91.34% and 99.12%, respectively. The purities of the three set of PE-PP (white)-PVC types of particles being 96.21%, 93.20% and 86.74%.

Semiotic Analysis of "Hyundai Presents Re:Style 2020" Green Marketing in Automotive Ads

One detrimental consequence of the automotive industry's excessive production is the accumulation of end-of-life vehicles (ELV). ELV ought to be disposed of via a waste recycling system. As a result, the automotive sector bears a substantial obligation with regard to ELV. Hyundai is one of the automotive industries that has managed ELV effectively. The YouTube advertisement for the Hyundai Re:Style Presents 2020 model illustrates this. Hyundai's collaboration with fashion designers to recycle automobile byproducts including leather, airbags, seat belts, and glass is featured in the advertisement. They create fashion items from waste, including jewelry, denim jumpsuits, work vests, corsets, and tote bags. Researchers are intrigued by the pursuit of investigating the significance of the sign representation, the object, and the interpretant, as well as the implications of advertising within the framework of green marketing theory. To achieve this aim, the semiotic theory of Charles Sanders Peirce was employed by featuring a triadic model comprising an object, representation, and interpretant. Additionally, Sinh's green marketing framework was incorporated, comprising a green place, green product, green price, and green promotion. Consequently, A qualitative research based on Charles Sanders Peirce's semiotics was used. The results shows that the signs, objects, and interpretants in Hyundai advertisements show the meaning of green marketing.