International Journal of Industrial Engineering, Technology & Operations Management
International Journal of Industrial Engineering, Technology & Operations Management (IJIETOM) is an academic, double-blind peer-reviewed scientific journal published 2 times a year, i.e., June and December and focused on the diffusion of articles in the field of Industrial Engineering, Technology and Operations Management. IJIETOM covers theoretical, computational, and experimental investigations of all aspects of the Industrial Engineering, Technology and Operations Management areas. Areas covers (but not limited to) Computational Intelligence in Industrial Engineering, Consumer Product Design, Engineering Economy and Cost Estimation, Facilities Design and Location, Information Systems, Artificial Intelligence, Business and Process Excellence, Construction Management, Data Analytics, Decision Sciences, Energy and Resource Efficiency, Facilities Planning and Management, Healthcare Systems, Manufacturing Applications, Human Factors and Ergonomics, Industry 4.0, Inventory Management, Knowledge Management, Lean and Six Sigma, Logistics, Transport and Traffic Management, Modeling and Simulation, Operations Research, Production Planning and Control, Quality, Reliability and Maintenance, Service Systems and Service Management, Supply Chain Management, Sustainability and Green Systems, Sustainable Manufacturing, Systems Engineering, Maintenance Engineering and Management, Materials Handling, Performance Analysis and Simulation, Production Systems Design, Planning and Control, Productivity and Business Strategies, Project Management, Technology Management and Transfer, Total Quality Management and Quality Technology, Work Measurement and Methods Engineering.
Articles
34 Documents
<![CDATA[A Real-Time Multi-Source Meteorological Data Integration Framework for Advanced Lightning Risk Detection and Protection in Wind Power Plants ]]>
<![CDATA[Ikromjon Rakhmonov]]>;
<![CDATA[Nurbek Kurbonov]]>;
<![CDATA[Mirzokhid Jobbarov]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 3 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.62157/ijietom.v3i2.112
<![CDATA[The rapid expansion of wind power plants has increased their exposure to lightning-related hazards, which pose significant risks to turbine integrity, operational reliability, and economic performance. Conventional lightning protection systems are often limited by their reliance on single-source data and reactive approaches, reducing their effectiveness in detecting and mitigating complex lightning phenomena. This study aims to develop a real-time, multi-source meteorological data integration framework to enhance lightning risk detection and protection in wind power plants. The proposed system integrates satellite observations, ground-based sensor networks, vertical atmospheric profiling technologies such as light detection and ranging and radar, lightning detection systems, and historical meteorological datasets within a unified architecture. Data are processed using embedded computing platforms and analyzed through machine learning techniques, including logistic regression and Extreme Gradient Boosting (XGBoost), to classify lightning types and compute a composite risk index for decision-making. The system enables automated alerts and protective responses, such as turbine shutdown or repositioning, when risk thresholds are exceeded. Results demonstrate that the framework achieves high predictive accuracy with a response latency of less than three seconds, allowing timely identification of lightning precursors and effective mitigation of potential damage. The modular, cost-effective design supports scalable deployment across varying wind farm capacities and operational environments. Thus, the findings indicate that integrating multi-source meteorological data significantly improves the performance and reliability of lightning protection systems, providing a practical, adaptable solution to enhance the safety and resilience of wind energy infrastructure under increasingly volatile climatic conditions.]]>
<![CDATA[Management Support as the Dominant Driver of Occupational Health and Safety Compliance Among Hospital Security Personnel ]]>
<![CDATA[Kurnia Dwi Cahya Rose]]>;
<![CDATA[Joko Suyono]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 3 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.62157/ijietom.v3i2.113
<![CDATA[Occupational Health and Safety (OHS) compliance is a critical component of maintaining a safe and effective healthcare environment, yet research has largely focused on medical personnel, with limited attention to non-medical staff, such as hospital security officers. These officers face significant occupational risks due to their roles in maintaining order, managing emergencies, and ensuring safety within complex hospital settings. This study aims to analyze the influence of OHS training, supervision, availability of safety facilities, and management support on the compliance behavior of security officers in a regional public hospital in Surabaya, Indonesia. A quantitative explanatory approach with a cross-sectional design was employed, involving all 30 security officers as respondents through total sampling. Data were collected using structured questionnaires and analyzed using multiple linear regression techniques. The findings indicate that OHS training and management support have a positive, statistically significant effect on compliance, whereas supervision and the availability of safety facilities do not show significant partial effects. Furthermore, all variables collectively influence compliance, highlighting the importance of an integrated safety management system. Among the examined factors, management support emerges as the most dominant determinant, emphasizing the critical role of leadership commitment in fostering a strong safety culture. The study concludes that enhancing compliance among hospital security personnel requires continuous training, strong managerial support, improved supervision, and the effective use of safety facilities to ensure sustainable workplace safety practices.]]>
<![CDATA[An Integrated Critical Path Method and PERT Approach for Schedule Performance Evaluation of Drainage Construction Projects ]]>
<![CDATA[Ilham]]>;
<![CDATA[Habir]]>;
<![CDATA[Tukimun]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 3 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.62157/ijietom.v3i2.114
<![CDATA[Time control is a critical factor in the successful delivery of urban drainage construction projects, which are often characterized by high complexity, limited working space, and uncertain site conditions. Delays in such projects can have significant economic and social impacts, underscoring the need for reliable methods to evaluate schedule performance, particularly when detailed activity-level data are unavailable. This study aims to evaluate the schedule performance of a drainage construction project by integrating the Critical Path Method and the Program Evaluation and Review Technique, using an aggregated schedule derived from the Work Breakdown Structure. The methodology involves developing a network model to identify the dominant activity sequence that determines project duration, followed by probabilistic analysis to assess uncertainty in critical work packages. The results indicate that the dominant path consists of preparation works, earthworks and piling works, drainage channel construction, and pedestrian access works, with the latter two activities exerting the greatest influence on project completion. The analysis further reveals that uncertainty in key activities, particularly drainage channel construction, reduces the likelihood of completing the project within the planned 180 calendar days if not properly controlled. The study concludes that integrating deterministic and probabilistic scheduling approaches provides a more comprehensive and realistic evaluation of schedule performance. This approach is especially useful for infrastructure projects with limited data availability and offers practical support for improving project time control and managerial decision-making.]]>
<![CDATA[Evaluating Spider Web Pavement versus Conventional Pavement for Sustainable Road Infrastructure ]]>
<![CDATA[Irwin]]>;
<![CDATA[Alpian Nur]]>;
<![CDATA[Tukimun]]>
<![CDATA[ International Journal of Industrial Engineering, Technology & Operations Management Vol. 3 No. 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Indonesia Academia Research Society ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.62157/ijietom.v3i2.115
<![CDATA[Road pavement is a critical component of transportation infrastructure that supports mobility, economic growth, and regional development. However, conventional pavement systems often experience performance limitations such as cracking, rutting, and differential settlement, particularly when constructed on weak or soft subgrade soils. This study aims to compare the Spider Web Pavement method, also known as the slab-on-pile system, with conventional pavement systems in terms of structural performance, technical characteristics, and economic efficiency. The research adopts a descriptive–comparative approach, using a literature-based methodology to analyze secondary data from journals, technical guidelines, and previous studies. Key parameters evaluated include load distribution mechanisms, pavement thickness, settlement resistance, construction complexity, initial costs, and long-term maintenance requirements. The results indicate that the Spider Web Pavement method provides superior structural performance by distributing loads more effectively to deeper soil layers, thereby significantly reducing differential settlement and surface deflection, especially on weak subgrades. In contrast, conventional pavement systems offer simpler construction processes, shorter implementation time, and lower initial costs, making them suitable for stable soil conditions. Economically, although the Spider Web Pavement requires a higher initial investment, it demonstrates greater long-term cost efficiency due to its extended service life and reduced maintenance needs. In conclusion, selecting an appropriate pavement system should be based on a comprehensive assessment of subgrade conditions, traffic loads, construction feasibility, and life-cycle costs to achieve optimal, sustainable pavement performance.]]>
