Stock Flow Diagram Analysis on Solid Waste Management in Malaysia

Faridah, Zulkipli and Zulkifli, Mohd Nopiah and Noor Ezlin, Ahmad Basri and Cheng, Jack Kie (2016) Stock Flow Diagram Analysis on Solid Waste Management in Malaysia. In: AIP Conference Proceedings: The 4th International Conference On Quantitative Sciences And Its Applications (ICOQSIA 2016), 16–18 August 2016 , Bangi, Selangor, Malaysia. pp. 1-6., 1782 (1). ISBN 978-0-7354-1444-0

[img]
Preview
PDF
Stock Flow Diagram Analysis on Solid Waste Management.pdf

Download (131kB) | Preview

Abstract

The effectiveness on solid waste management is a major importance to societies. Numerous generation of solid waste from our daily activities has risked for our communities. These due to rapid population grow and advance in economic development. Moreover, the complexity of solid waste management is inherently involved large scale, diverse and element of uncertainties that must assist stakeholders with deviating objectives. In this paper, we proposed a system dynamics simulation by developing a stock flow diagram to illustrate the solid waste generation process and waste recycle process. The analysis highlights the impact on increasing the number of population toward the amount of solid waste generated and the amount of recycled waste. The results show an increment in the number of population as well as the amount of recycled waste will decrease the amount of waste generated. It is positively represent the achievement of government aim to minimize the amount of waste to be disposed by year 2020.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Solid Waste Management; System Dynamics; Stock Flow Diagram.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty/Division: Faculty of Industrial Management
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 14 Mar 2017 05:54
Last Modified: 06 Feb 2018 03:55
URI: http://umpir.ump.edu.my/id/eprint/17017
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item