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  • Sustainability in Urban Waste Management: The Efficiency of Electric Waste Transport Vehicles
    1-18
    Views:
    270

    This study evaluates the long-term economic feasibility of electric waste collection vehicles (EVs) as a sustainable alternative to diesel-powered counterparts in urban municipal services. Using real operational data from a Hungarian waste management company, we developed a total cost of ownership (TCO) model spanning 10 years, which incorporates investment costs, energy consumption, maintenance, depreciation, and battery replacement. Our analysis reveals that although EVs require a significantly higher upfront investment (€350,000 vs. €183,200), their lower operational and maintenance costs result in a break-even point around year 8. When accounting for a €50,000 battery replacement in year 6, the total 10-year cost of the EV remains lower (€431,769 vs. €450,914) than the diesel vehicle, resulting in a net saving of €19,145. The study emphasizes the significance of local energy prices and service structures in assessing fleet electrification. While the findings are based on Hungarian data, the proposed methodology can be adapted internationally to support data-driven decision-making in sustainable waste logistics.

  • Floodresc – Disaster Management in case of Flooding in the Hernad Watershed
    181-187
    Views:
    205

    The aim of the Floodresc project is to develop a GIS based decision support system that can help the defense and rescue operations of the Disaster Management Directorate during any floods in the Hernád River. In the project, a geospatial database covering the entire river basin, a modeling application for predicting the extent of flooded areas in time, and a logistics model supporting defense-related transportation tasks will be developed.

  • Decision Support for Difficulties in a Furniture Manufacturing Company
    405-418
    Views:
    236

    In “Decision support for difficulties in a furniture manufacturing company” titled work we are presenting in detail the operation of a particular furniture company and the difficulties encountered during its operation, which they try to overcome in some way so that they do not hinder the operation of the company. After that, we will show how we wanted to achieve the production support system. In different versions, we detail what we actually wanted to accomplish while showing results that illustrate the evolution of the system. We also present the difficulties of the development, which is made in Java. We also present the latest version of the system and its results. After processing the input parameters, the system is able to produce results using scheduling algorithms that can help in making important decisions during production planning.