Expert system for real time optimization of solid waste management in Malaysia
As in every developing nation, increasing revenues in urban areas attract masses of population to move to these areas which indirectly increase the rate of solid waste generated. Malaysia being one the developing countries in South East Asia also faces the same problem due to the lack of comprehe...
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Format: | Thesis |
Language: | English |
Published: |
2014
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Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/114112/1/114112.pdf http://psasir.upm.edu.my/id/eprint/114112/ http://ethesis.upm.edu.my/id/eprint/18085 |
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Summary: | As in every developing nation, increasing revenues in urban areas attract masses of
population to move to these areas which indirectly increase the rate of solid waste
generated. Malaysia being one the developing countries in South East Asia also faces the
same problem due to the lack of comprehensive data and public awareness towards this
issue. Hence a novel expert system using combination of Linear Model as the engine and
the IF-THEN rule concepts was created to predict rate of solid waste generated so that
users could be given advices and appropriate steps to be taken regarding integrated solid
waste management. The system, named OpSWaste was designed based on information
from journals and /or interview sessions conducted with known experts within the field.
Users of this system only have to separate their solid waste materials into different
categories according to the system requirement. From the processed data, users could
obtain amount of solid waste produced in each categories and appropriate actions could
be taken to optimize the waste materials. Samples of solid waste were collected from
Balakong, Selangor and they were used to test and validate the operation and function of
this system. From the sampling done, it was found that the actual waste composition
generated for a month in residential, shopping and industrial area in Balakong was
approximately 5,344.00 kg, 9067.90 kg,864.95 kg, respectively. Based on this data,
OpSWaste system processed and produced an output forecasting that within 12 months
the amount of solid waste generated at residential, shopping and industrial areas would be 8,555.92 kg, 14,516.56 kg and 1,384.81 kg respectively. Moreover, this system could
be applied by a particular user in determining preliminary module for recycling process
and could controlled and optimized the amount of generated waste composition that were
usually sent to the landfills or other waste treatment facilities. OpSWaste system also
integrates Life Cycle Assessment (LCA) which involves evaluation process of inputs and
outputs of material, energy and waste flows associated with a recycling product over its
entire life cycle. Overall, the output of OpSWaste could predict waste generation growth,
revenue from recycling and give out recycling process options in real time basis.
OpSWaste system could be applied together with other systems such as URUS SISA,
being similar but only focused on the selection of treatment technology based on
Analytical Hierarchy Process (AHP) that could be divided into three hierarchy level;
objective, criteria and alternatives. In conclusion, the integration of OpSWaste could help
to make prompt decision based solely on accurate amount of solid waste composition
taken from collectors’ to enable better decision making among policies makers,
stakeholders and relevant agencies in solving the problem of solid waste management in
Malaysia. |
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