U-Tapao, Chalida

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U-Tapao, Chalida
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U-tapao, Chalida
U-Tapao, C.
U-tapao, C.
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Email
chalida.ut@kmitl.ac.th

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    Item type:Publication,
    An Optimization Model for Solid Waste Collection and Processing: Case Study of Bangkok, Thailand
    (2024-01-01)
    U-Tapao, Chalida
    ;
    Nawakitrangsan, Nattaporn
    ;
    Chunawa, Maruesa
    This paper has applied operation research to solid waste management systems. The objective is to maximize expected net carbon dioxide equivalent (CO2 e) offsets from four disposal processes (landfill, incineration, producing refuse derive fuel (RDF) and composting). Recycling or non-recycling processes is selected before disposal process. An optimization model was proposed for the optimal solution and decision-making selects the best solution for the solid waste management supply chain for Bangkok, Thailand. Maximum capacity of each disposal process must fulfill, and the recycling method will be a control method. The total amount of municipal solid waste is indicated 9,727.84 tons and maximum amount of recycling waste (827.84 tons) is allowed. The net CO2e offsets is highly correlated with the quantity of solid waste. Moreover, the disposal process that producing RDF is the recommended decision for the department of environment of Bangkok because of the maximum number of CO2e offsets. Eight scenarios were applied to find the lower amount of the net CO2e offsets. Increasing sanitary solid waste disposal capacities are the main assumption affected the amount of CO2e emissions and/or offsets. Scenario 8 increases double capacity for all disposal techniques, and the net CO2e offsets are increased from 4,472.89 tons to 8,945.78 tons. Policymakers and plant operators could adopt the proposed optimization model in the selection of high CO2e offsets system. Moreover, the total number of carbon footprint for organization (CFO) could be reduced.
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    Item type:Publication,
    An Optimization Model for the Maximized Profit of Housing Development Project: A Case Study of Bangkok and Perimeter, Thailand
    (2023-05-01)
    Kakaew, Siripob
    ;
    U-tapao, Chalida
    The objective of this research was to assess the profitability of the housing development project located in Bangkok, and the perimeter areas are Nonthaburi, Samut Prakan, and Pathum Thani, which are the result of good construction management. Moreover, the researchers’ previous data were used to predict the profit for construction planning, using stepwise multiple regression analysis. Then, we found the profit equation of the housing development project and applied it to the optimization model to clarify the model by the case study. The case study has 427 units, dividing the house into three types, with an optimization performed using the GAMS tool. In the same way, according to this optimization, it can be divided into two scenarios: scenario one found the maximized profit of the project to be 1053.91 MB, and scenario two was the result of making a sensitive analysis of scenario one and found the maximized profit of the project to be 1054.18 MB, which is the best scenario for the maximized profit of the project, and so it is the best choice for construction planning. The research contribution in this model can be applied to other projects that are suitable for large or densely populated cities, such as Beijing, New Delhi, and others. In the Conclusion section, we offer recommendations and detail future work that the researchers have discussed and described for the benefit of future research in housing development projects.