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A Simulation Based Metaheuristics for Capacitated Vehicle Routing Problem Tamara Latifah Jasmine; Heru Purboyo Hidayat Putro; Niken Prilandita; Gatot Yudoko
Automotive Experiences Vol. 8 No. 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13242

Abstract

Waste collection and transportation are essential elements of effective waste management. However, despite their importance, previous studies have highlighted several challenges, such as routing inefficiencies and environmental concerns. This study seeks to develop an optimized approach for waste collection and transportation under conditions of demand uncertainty, capacity limitations, and traffic constraints, through the application of a simheuristics-based method. The methodology utilizes a simheuristics approach, integrating a Genetic Algorithm (GA) to determine optimal routing solutions, while employing Discrete Event Simulation (DES) to incorporate key economic, environmental, and social variables. Data were obtained from field experiments and Google Maps, and assumptions regarding capacity requirements, distances and collection points, transportation cost components, and road conditions were established to ensure the reliability of the simulation results. The application of the simheuristics approach effectively reduces total transportation costs by approximately 51%, while also significantly minimizing environmental impacts. This research contributes to the academic literature by presenting an innovative method that strengthens existing waste collection strategies with an emphasis on sustainability. Additionally, it offers valuable insights for waste management policy, enabling the optimization of waste collection without exceeding capacity limits.
Socio-Environmental Evaluation of Overload Truck: Carbon Emissions, Carbon Tax, and Policy Intention Perspectives Tamara Latifah Jasmine; Niken Prilandita; Heru Purboyo Hidayat Putro; Gatot Yudoko
Automotive Experiences Vol. 9 No. 2 (2026): Issue in Progress
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.16388

Abstract

The issue of global warming and the increasing concentration of carbon dioxide (CO₂) represents a significant environmental challenge, with the transportation sector contributing approximately 23% of global greenhouse gas emissions. One of the crucial problems is the operation of Over-Dimension Over-Load (ODOL) trucks, which generate serious negative environmental and social impacts. This study conducts a socio-environmental evaluation of ODOL trucks from the perspectives of carbon emissions and carbon tax, and further analyzes the acceptance of the Zero ODOL and Carbon Tax policies in Indonesia. The technical evaluation involves simulates fuel consumption, CO₂ emissions, and carbon tax burdens based on ODOL truck travel data. Meanwhile, the social evaluation is conducted through a survey of two respondent groups, namely truck drivers (97 respondents) and the general public (214 respondents), using a questionnaire that integrates constructs from the Health Belief Model (HBM), risk perception, user cost, law enforcement knowledge (LEK), and the Policy Acceptance Model (PAM). The technical findings indicate that ODOL trucks have higher fuel consumption, CO₂ emissions, and carbon tax burdens compared to non-ODOL trucks. From the social perspective, acceptance of the Zero ODOL policy is influenced by different determinants across the two groups. For drivers, policy acceptance is highly sensitive to economic-based instruments such as carbon tax and knowledge of sanctions. In contrast, the general public is more driven by safety perception, traffic order, and the social impacts of road disturbances. These findings emphasize the importance of tailored policy implementation strategies, where economic incentive–based approaches are more effective for drivers, while safety- and public order–based approaches are more resonant for the public.