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ASEAN Journal of Systems Engineering
Published by Universitas Gadjah Mada
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Engineering
ASEAN Journal of Systems Engineering (AJSE) is published by Master Program of Systems Engineering, Faculty of Engineering, Universitas Gadjah Mada as a mean for publishing scientific works in form of research papers, literature study, or scientific review on published articles, about systems engineering especially in the field of energy, industry and environment. The journal is published twice a year (June and December), in both print and online versions.
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue "Vol 10, No 1 (2026): ASEAN Journal of System Engineering (in progress)" : 2 Documents clear
MULTI-OBJECTIVE OPTIMIZATION OF NON-IDENTICAL PARALLEL MACHINE SCHEDULING FOR MINIMIZING MAKESPAN, CARBON EMISSIONS, AND TARDINESS Ramadhan, Fairuzzaky; Rifai, Achmad Pratama
ASEAN Journal of Systems Engineering Vol 10, No 1 (2026): ASEAN Journal of System Engineering (in progress)
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v10i1.115408

Abstract

Production scheduling in modern manufacturing must simultaneously address operational efficiency, environmental sustainability, and customer satisfaction. As industries face increasing pressure to reduce carbon emissions while maintaining competitiveness, traditional single-objective scheduling approaches prove insufficient. Non-identical parallel machine scheduling problem (NIPMSP), where machines possess heterogeneous processing capabilities and environmental impacts, represents a prevalent configuration in manufacturing facilities. However, existing research has not simultaneously optimized makespan, carbon emissions, and tardiness—three critical objectives reflecting productivity, sustainability, and service reliability.In this study, we developed a comprehensive mathematical model with 18 constraints and proposed Multi-Objective Adaptive Large Neighborhood Search (MOALNS) incorporating five destroy operators, four repair operators, and adaptive weight mechanisms. Performance evaluation against NSGA-II across eight problem instances using five metrics (Hypervolume, Inverted Generational Distance, Diversification Metric, Spacing Metric, CPU Time) with rigorous statistical testing (Wilcoxon signed-rank test, Cohen's d) revealed that MOALNS significantly outperforms NSGA-II in solution diversity (p < 0.05 in 50% of instances, d = 6.31) and spacing uniformity (75% win rate, d = 0.70), with comparable Pareto front coverage. This superiority comes at computational cost (192% slower), acceptable for offline planning but not real-time applications. This research provides evidence-based algorithm selection guidelines for sustainable manufacturing, demonstrating that environmental objectives can be integrated without sacrificing operational efficiency or delivery reliability.
Design and Technical Analysis of Rooftop and Ground-Mounted Photovoltaic System Implementation in an Industrial Area: A Case Study of PT X Dewangga, Bagas Wahyu
ASEAN Journal of Systems Engineering Vol 10, No 1 (2026): ASEAN Journal of System Engineering (in progress)
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v10i1.116564

Abstract

This research presents a comprehensive technical assessment of grid-connected rooftop and ground-mounted photovoltaic (PV) systems implemented in an industrial zone at PT. X, Gresik, East Java. The study incorporates site-specific analysis of available rooftop and open land areas, solar irradiation characteristics, and environmental parameters, including ambient temperature and wind speed. System performance was simulated using PVSyst version 8.0 based on primary field data and meteorological databases.Two PV system configurations were developed and analyzed. Scenario 1 utilized 450 Wp monocrystalline modules with 25 kW on-grid inverters, resulting in a total installed capacity of 510.30 kWp and an estimated annual energy production of 755.02 MWh. Scenario 2 employed 455 Wp monocrystalline modules with 33 kW grid-tied inverters, yielding an installed capacity of 492.62 kWp and an annual energy output of 711.77 MWh. The results indicate that ground-mounted systems on vacant land provide higher energy yields due to optimized module orientation and reduced shading losses, while rooftop systems offer substantial complementary contributions. Overall, the study confirms the technical feasibility and effectiveness of integrating large-scale PV systems in industrial areas to support energy efficiency and emission reduction targets.

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