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Implementation of Decision Support System for Scheduled Waste Management in Malaysia

Author(s): Mohammad Shahnor Bani | Zulkifli Abdul Rashid | Ku Halim Ku Hamid

Journal: Journal of Applied Sciences
ISSN 1812-5654

Volume: 11;
Issue: 13;
Start page: 2358;
Date: 2011;
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Keywords: landfill | incineration | scheduled waste | DSS

Malaysia is today a model of economical success, attaining growth rates in Southeast Asia today. The country continues to take big strides in its industrialization nation by the year 2020. An ever-expanding population and high rates of economic development in Malaysia resulted in the generation of vast amount of waste. Nevertheless, public has not yet realized that the industrial growth normally proportion with scheduled waste generation. Currently, there are legislative and policies regarding the waste management have been enforced and new technology has been introduced in this country. However, the efforts disable to completely solve the problem as the waste management is complicated and unique. This is due to mainly insufficient key parameters employed in the integrated system developed. This study introduces a model that could be applied or considered in the scheduled waste management. Most of waste planners or waste generators do not have enough resources needed to manage all relevant data, assist in waste management and to make optimization analysis leading to incomplete consideration and uncontrolled collection. In addition, the existing system tool cannot comprehend with the current generation of waste and waste management because only used as database and assessment viz. E-Consign and E-Swiss. Thus, the implement of DSS that encompass all aspect in waste management is prior needed under the present circumstances. The DSS model could be used in assisting decision makers and able to give robust prediction despite the inherent uncertainties of waste generation and the plethora of waste characteristics and gives optimal allocation of waste stream for recycling, incineration, landfill and composting of solid waste in an economic and environmentally sustainable way.
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