Interval-Parameter Conditional Value-at-Risk Two-Stage Stochastic Programming Model for Management of End-of-Life Vehicles

Šimić, Vladimir

doi:10.1007/s10666-018-9648-9

Cited by 14 publications

(14 citation statements)

References 81 publications

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“…This has led to the problem of severe air pollution accompanying the lives of urban residents ( 35 , 36 ). Historically, air pollution concerns have been confined to metropolitan areas, but in recent years they have spread to impair the health of rivers, lakes, and forests ( 6 , 19 , 20 ). The impact of motor vehicle gases is beginning to have a highly negative influence on human health.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Air pollution is primarily caused by automobile emissions, especially in urban areas. Carbon monoxide (CO), nitrogen oxides (NOX), hydrocarbons, and sulfur oxides are produced mainly by automobile emissions ( 6 – 8 ). According to existing studies, carbon monoxide is the most prevalent contaminant, and over 70% of all carbon monoxide gases are generated by motor vehicles ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

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Model predicting social acceptance behavior to implement ELV policy: Exploring the role of knowledge toward ELV policy on social acceptance in Malaysia

Ali

Sitinjak

Said

et al. 2023

Front. Public Health

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Effective management of end-of-life vehicles (ELVs) represents a sound strategy to mitigate global climate change. ELVs are contaminants that pollute water, air, soil, and landscape. This waste flow must be adequately treated, but no proper rule oversees the disposal of ELV waste in Malaysia. This study aims to determine the extent of implementing the ELV policy and the social readiness in implementing environmentally friendly ELV disposal in Malaysia. The questionnaire seeks public input on critical ELV concerns such as public perception of the phenomena, environmental and safety standards, and recycling and treatment facilities. This research uses a cross-sectional design with 448 respondents in the survey. Fit models in structural equation modeling are evaluated using a variety of goodness-of-fit indicators to ensure an actual hypothesis. This study's advantages include the availability of representative samples and allowing for comparable and generalizable conclusions to larger communities throughout Malaysia. It is found that personal experience is significantly correlated with social readiness. The cause of ELV vehicles knowledge was the vital mediator, along with recycling costs knowledge. Thus, knowledge regarding ELV management costs is the most decisive mediation variable to predict public acceptance. The recommended strategy to reduce resentment and rejection of ELV policy is to disseminate information about the negative ELV impact on environmental and social sustainability.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Model predicting social acceptance behavior to implement ELV policy: Exploring the role of knowledge toward ELV policy on social acceptance in Malaysia

Ali

Sitinjak

Said

et al. 2023

Front. Public Health

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“…Dumetz et al (2017), have shown the objective degree of information has a positive effect on the economic perception and adoption of a new policy. Simic (2019), on the other hand, confirmed that the greater public awareness of the dangers of ELV, the greater the negative impact.…”

Section: The Impact Of Knowledge and Readinessmentioning

confidence: 73%

A model analysis on the knowledge, attitude, and readiness of ELVs policy among Malaysians: A cross-sectional study

Ismail

Sitinjak

Tahir

et al. 2023

Front. Built Environ.

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The issue of end-of-life vehicles (ELV) in Malaysia has recently received serious attention from the government. The Malaysian government has launched various programs to reduce the number of ELVs that have not been adequately managed. Initiatives like offering rewards to those who want to turn up their damaged vehicles are similar to An effort to trade in their old automobiles. However, it was unsuccessful due to a lack of cooperation from Malaysians. This study examines the sociological aspects of community acceptance of ELV legislation in Malaysia. This study assesses community knowledge, attitudes, and readiness to implement ELV management in Malaysia. Six hundred thirty people participated in a cross-sectional survey performed across Malaysian states (Pulau Pinang, Kelantan, Johor, Melaka, Selangor, and Kuala Lumpur). A collection of questions was distributed face-to-face after satisfying the steps of validity and reliability tests. Then descriptive and multiple regression tests were run to determine correlations between variables. We use the structural equation model to determine the model in this research. The study’s findings revealed that people’s knowledge, attitudes, and readiness toward ELV policies were significantly influenced by their length of stay, level of education, and vehicle ownership (overall R2 = 0.663, VIF = 1,612, p = 0.000). It was also discovered that knowledge and attitude together could determine community readiness in implementing ELV policies in Malaysia. The findings of this study demonstrate how important it is for the government to consider the populace’s knowledge and attitudes before implementing the ELV policy in Malaysia.

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“…However, the interconnection of the influential factors among these three stakeholders is not highlighted. Simic (2019) proposed a two-stage stochastic programming model with interval parameters to manage the ELV risks and effectively deal with uncertainty. The created model could not tackle the capacity planning issue for various ELV management system facilities.…”

Section: Elv Recovery Management Systemmentioning

confidence: 99%

Supply chain optimisation for recycling and remanufacturing sustainable management in end-of-life vehicles: A mini-review and classification

et al. 2022

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End-of-life vehicles (ELV) management is becoming a global concern in the automotive industry. However, there is still limited study on supply chain optimisation that focusses on specific ELV treatments. Therefore, this mini-review article analyses the supply chain optimisation for recycling and remanufacturing sustainable management in ELV. A total of 51 papers were reviewed from the year 2016 to 2021. The key topics in each article were assessed and classified into various themes, followed by the content analysis. The percentage breakdown for the six main themes are ELV recovery management system (37.25%), reverse logistic network design (29.41%), ELV economy analysis (15.69%), government regulation or subsidies (7.84%), ELV quantity forecast (5.88%) and ELV part design (3.92%). It can be concluded that ELV recovery management and reverse logistic network design are the top two key focusses of supply chain optimisation priorities that have been extensively applied to improve ELV development. The literature gap has shown that the study on remanufacturing in the ELV supply chain is minimal compared to recycling. The classification of ELV recycling and remanufacturing supply chain optimisation in this study will be beneficial in supporting real-life problem-solving for industrial applications. This study serves as a valuable reference guide to identifying more sustainable solutions in ELV management and promoting the critical focus area for academicians and industry players.

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Interval-Parameter Conditional Value-at-Risk Two-Stage Stochastic Programming Model for Management of End-of-Life Vehicles

Cited by 14 publications

References 81 publications

Model predicting social acceptance behavior to implement ELV policy: Exploring the role of knowledge toward ELV policy on social acceptance in Malaysia

Model predicting social acceptance behavior to implement ELV policy: Exploring the role of knowledge toward ELV policy on social acceptance in Malaysia

A model analysis on the knowledge, attitude, and readiness of ELVs policy among Malaysians: A cross-sectional study

Supply chain optimisation for recycling and remanufacturing sustainable management in end-of-life vehicles: A mini-review and classification

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