Article Per Year (5 Year)
p-Index From 2021 - 2026
1.77
P-Index
This Author published in this journals
All Journal International Journal of Educational Narratives Rechtsnormen Journal of Law Sharia Oikonomia Law Journal Journal of Noesantara Islamic Studies Journal of Moeslim Research Technik International Journal of Educatio Elementaria and Psychologia Journal of Tecnologia Quantica Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology
Chan, Rachel
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
SUSTAINABLE INDUSTRIAL ENGINEERING: SYSTEMS OPTIMIZATION UNDER RESOURCE CONSTRAINTS Tan, Marcus; Chan, Rachel; Angga Risdianto, Anauta Lungiding
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3725

Abstract

The increasing pressure to integrate sustainability into industrial practices has led to the need for more efficient systems optimization models that address resource constraints. Traditional optimization models in industrial engineering have focused predominantly on maximizing efficiency and minimizing costs, often overlooking the long-term environmental and social impacts. This research explores the intersection of sustainable development and systems optimization under resource limitations, aiming to develop a comprehensive framework that balances economic, environmental, and social factors in industrial processes. The study employs a mixed-methods approach, combining literature review, case studies from various industrial sectors, and mathematical optimization models. The results demonstrate that the integration of resource constraints into industrial systems significantly improves both operational performance and sustainability outcomes. Industries, particularly in manufacturing and logistics, showed considerable improvements in production efficiency and reductions in energy consumption and material waste. The research concludes that resource-constrained optimization models can lead to more sustainable industrial practices without compromising economic efficiency. The findings provide a valuable contribution to the field of industrial engineering, offering a framework that can be applied across diverse sectors seeking to optimize their systems within the boundaries of available resources. Future studies should extend these models to include more complex industrial sectors and explore long-term sustainability impacts.
Co-Authors Ali Mufron, Ali Angga Risdianto, Anauta Lungiding Budi Prasetyo Indraswari, Sri Primawati Jasafat Joshi, Nikhil Lee, Ava Lim, Sofia Narud, Ahmad Tan, Jaden Tan, Marcus Verma, Aditi WIJAYA WIJAYA, WIJAYA Wong, Lucas