Innovative Line Balancing for the Aluminium Melting Process
Abstract: This research article explores the optimization of aluminium extrusion processes through advanced line balancing techniques, focusing on maximizing marginal profit by increasing melting and casting outputs. By employing mixed integer linear programming (MILP), we identify strategies to minimize idle costs and enhance production efficiency. The study demonstrates that increasing the daily cycle rate from 2 to 4.36 cycles results in a significant rise in daily marginal profit, calculated at USD67,786, after accounting for additional labour costs. This optimization is achieved by expanding the workforce from 8 to 12 operators across two shifts, leading to a 50% increase in labour expenses. The findings reveal a remarkable 117.6% growth in marginal daily profit, underscoring the potential of automation and intelligent manufacturing in transforming the aluminium extrusion industry. Insights from cross-industry research, including Lean Methodology in the Modern Garment Industry, further illustrate the broader applicability of these advancements. This study highlights the critical role of automation in driving productivity and profitability in manufacturing sectors, paving the way for future innovations in aluminium extrusion and beyond. Keywords: Line Balancing, Production Plan, Aluminium Extrusion, Automation, Aluminium Manufacturing, Lean Practice. Title: Innovative Line Balancing for the Aluminium Melting Process Author: Prof. Dr. Ray Wai Man Kong, Ding Ning, Theodore Ho Tin Kong International Journal of Mechanical and Industrial Technology ISSN 2348-7593 (Online) Vol. 12, Issue 2, October 2024 - March 2025 Page No: 73-84 Research Publish Journals Website: www.researchpublish.com Published Date: 19-March-2025 DOI: https://doi.org/10.5281/zenodo.15050721 Paper Download Link (Source) https://www.researchpublish.com/papers/innovative-line-balancing-for-the-aluminium-melting-process
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-19
- DOI
- https://doi.org/10.5281/zenodo.15050720
- Primary Topic
- Assembly Line Balancing Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00