Journal of Industrial System Engineering and Management

Performance Evaluation of Fixed Crane Operations Using Overall Equipment Effectiveness Method in Port Container Handling Activities

2025-11-06T11:22:46+00:00

Efficient container handling is crucial to maintaining productivity and competitiveness in port operations. This study evaluates the performance of fixed crane equipment using the Overall Equipment Effectiveness (OEE) method to identify factors contributing to productivity loss. Data were collected through observation, interviews, and operational records, focusing on loading time, downtime, operation time, processed amount, and defect rate. The analysis assessed three OEE indicators: availability, performance efficiency, and quality rate. Results revealed that crane availability ranged from 84–86%, performance efficiency from 14–21%, and quality rate remained at 100%. The overall OEE value of 12–18% was significantly below the world-class standard of 85%, indicating low operational efficiency. The primary causes of reduced effectiveness included operator negligence, overloading, and insufficient radiator maintenance. To enhance reliability, the study suggests introducing a 200-hour preventive maintenance schedule emphasizing radiator inspection, operator training, and strict load monitoring. The research demonstrates that applying the OEE framework allows port managers to quantify equipment performance, identify major loss sources, and implement targeted strategies to reduce downtime and improve throughput in container handling operations

Environmental Impact Analysis Using Life Cycle Assessment (LCA) on Plastic Waste Processing at Antang Makassar Landfill

2025-11-13T10:59:47+00:00

This study analyzes emission loads generated from plastic waste shredding activities around the Antang Landfill. The process involves the use of transportation vehicles, diesel engines, polypropylene sacks, and polyethylene terephthalate (PET) packaging from used cooking oil containers. Diesel combustion and transportation activities contribute to air pollution, while shredded plastic waste may release additional emissions into the environment. The research aims to evaluate the environmental impacts of plastic waste shredding and propose strategies for sustainable waste management. The Life Cycle Assessment (LCA) method was applied to assess environmental aspects and potential impacts through input–output inventory analysis. Data were processed using SimaPro software, with impact assessment conducted through categorization and normalization stages. The findings reveal three main impact categories: global warming, ozone layer depletion, and human toxicity. The collection stage contributes most to human toxicity (4.66E-5 and 2.48E-16), while the transportation stage produces the highest emissions from operational vehicles (8.12E-5 and 4.32E-16). During the shredding stage, diesel combustion contributes most to ozone layer depletion (1.02E-8) and human toxicity (2.52E-13). The plastic fragment handling stage shows significant impacts on ozone layer depletion (7.9E-9) and global warming (8.69E-13). Further research is recommended to develop emission reduction strategies that integrate cost efficiency and stakeholder participation.

Evaluation Of CCTV Operator Work Performance Reviewed from the Aspects of Ergonomics: Working Methods, Posture, And Environmental Conditions

2025-11-14T14:01:33+00:00

CCTV monitoring activities are static tasks that require continuous visual focus and prolonged sitting, making operators prone to physical fatigue, visual impairment, and decreased performance. Common problems include non-ergonomic work postures, thermal discomfort, and lighting glare on monitors. This study aims to evaluate CCTV operator performance through a comprehensive ergonomic approach that includes posture analysis, work activity patterns, and environmental conditions. The methods used include work sampling to measure the proportion of productive and idle time, posture analysis using REBA to determine musculoskeletal risk, and measurement of environmental parameters such as temperature, air velocity, viewing distance, and lighting quality. The results showed a REBA score of 3 (low risk but improvement needed), operator focus time of only 8–10 minutes, normal idle time of 15 minutes, and an allowance of 17 minutes. Nighttime thermal conditions were below comfort standards, and glare was found to interfere with visibility. These findings confirm the need to redesign workstations and improve working conditions to improve CCTV operator performance.

Proposed Layout for Goods Storage in RM Supermarket Warehouse Using Dedicated Storage

2025-11-19T12:35:01+00:00

The warehouse is one of the most important components of the business. Activities storage covering receipt, storage, arrangement, bookkeeping, maintenance, and disbursement of goods from the storage place. When the warehouse lacks proper management, goods are not arranged by type or classification. Goods are piled up in one place because the warehouse does not have enough space. Therefore, when taking goods, must dismantle and move the appropriate goods. Thus, the process of taking and storing goods takes quite a long time. Planning layout means building and integrating flow components for the product so that operators, equipment, and material transformation processes interact most efficiently from part reception to part delivery, which is also known as the location storage still with the Dedicated Storage method. Research results indicate two proposed storage layout options. The First Alternative produces the total distance of 281.9 meters by subtracting 55.8 meters, or 6.6%, from the current layout. Meanwhile, the alternative second produce distance is 373.9 meters, with a subtraction distance of -36.3 meters, or -10%. Of the two choices, alternative 1 is more efficient than alternative 2.

Integrating Digitalization in Supply Chain Performance Evaluation of the Zinc Industry through the Analytic Network Process (ANP)

2025-11-06T11:16:15+00:00

The zinc industry faces significant challenges in improving supply chain performance due to complex production, distribution, and quality control systems, as well as uneven digitalization that limits real-time monitoring and decision-making. This study develops a digitalization-based supply chain performance evaluation model using the Analytic Network Process (ANP) to determine priority weights of key performance indicators (KPIs). Data were collected from 15 industry experts with 15–20 years of experience. The analysis shows that Reliability (0.32) and Cost Efficiency (0.26) are the most influential dimensions, followed by Responsiveness (0.19), Flexibility (0.13), and Asset Management (0.10). The highest-priority KPIs are On-Time Delivery (0.0518) and Order Fulfillment Rate (0.0506), while Capacity Utilization Ratio (0.0033) has the lowest weight. Integrating digital systems such as ERP, IoT, and MES enhances real-time visibility, data accuracy, and responsiveness—reducing production delays by 18%, improving logistics cost efficiency by 12%, and increasing delivery reliability by 20%. The ANP-based model thus provides an objective, data-driven foundation for continuous performance improvement and strategic decision-making.