Optimization on cost for solid waste collection

This study tries to determine the ideal cost for a private company's waste collection that occurs once a month and acknowledges the use of goal programming to determine the optimal cost. This study uses goal programming to reduce the cost of rubbish collection for a private Malaysian company. E-Idaman Kangar Sdn Bhd manages solid waste management in Perlis. The goal programming model was created with Lingo software version 18.0 and minimizes five cost categories for each route: labor cost, collection cost, vehicle cost, consumable cost, and financial statement of operation. The results of the study show that the company's collection expenses are at their optimal state. The cost of each vehicle included in the collection activity is optimized, and the total spending can still be reduced by RM3, which is a decrease of 0.01 %. This shows that the company is already achieving collection in an ideal manner. The paper concludes by discussing the implications of the study for other private waste collection companies in Malaysia. The goal programming model developed in this study can be used by other companies to optimize their waste collection costs.