Operational Cost Optimization on Solid Waste Collection Using Goal Programming

Abstract

Waste collection is the Waste management, comprising storage, collection, transportation, and disposal, is the most expensive aspect of waste management, involving resources in strategy, execution, and oversight. Even in Perlis, the smallest state in Malaysia, waste management has become a concern due to population growth and increased industrial activities. This study aims to identify the most cost-effective approach for a private company's monthly waste collection in Perlis, utilizing goal programming to determine the optimal cost. Data from E-Idaman Kangar Sdn. Bhd, a private company managing solid waste in Perlis, was utilized. The goal is to achieve optimization by formulating an objective function and utilizing Lingo software version 18.0. The study targets five goals: minimizing labor, collection, vehicle, and consumable costs, as well as minimizing the financial statement of operation for each route. The research results indicate that E-Idaman Kangar's collection expenses are already at an optimal state. The analysis reveals that the cost of each vehicle involved in the collection is optimized. The objective value indicates that the total expenditure can still be reduced by RM3, representing a 0.01% decrease. In conclusion, the organization demonstrates efficient waste collection practices.