Work

Enhancing Recycling Collection Point Coverage in Seremban City, Malaysia: A Comprehensive Study on Adapting Integer Linear Programming Models with Fixed Capacity Levels

Year: 2025

Type: article

Abstract: This study introduces an integer linear programming (ILP) model as an effective strategy to address the problem of facility location and allocation. The implemented model incorporated the concept of covering and finding optimal sites for facility locations to effectively satisfy demand at its optimum level. Identifying strategic and optimal locations for recycling bins, essential for maximizing the effectiveness of recycling initiatives, remains an area that requires substantial improvement, particularly within the context of Malaysia. The study used a mathematical model based on the Maximal Expected Covering Location Problem, with modifications including a fixed capacity level for each recycling facility. The model is applied to households in Seremban, the capital city of Negeri Sembilan in Peninsular Malaysia. The results indicate that three recycling facilities successfully covered the demand locations based on the performance of the modified model.

Source: Pertanika journal of science & technology

DOI: 10.47836/pjst.33.s3.06

Authors: Muhammad Zulhazwan Rosni, Zati Aqmar Zaharudin, Adibah Shuib

Institutions: Universiti Teknologi MARA, Universiti Teknologi MARA System

Language: English

Topic: Facility Location and Emergency Management

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Responsible consumption and production, Clean water and sanitation

Open Access status: hybrid

Funder: Universiti Teknologi MARA