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 ]]>
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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 ]]>
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DOI: 10.62157/ijietom.v3i2.113
<![CDATA[Occupational Health and Safety (OHS) compliance is essential to ensuring workplace safety in healthcare environments, yet research has predominantly focused on medical personnel, with limited attention to non-medical staff, such as hospital security officers. These personnel face unique occupational risks, including exposure to emergencies and workplace conflicts, making compliance with safety procedures critically important. This study aims to examine the influence of OHS training, supervision, availability of safety facilities, and management support on the compliance behavior of hospital security officers. A quantitative explanatory design with a cross-sectional approach was employed, involving all 30 security officers in a regional public hospital in Surabaya, Indonesia, using a total sampling technique. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that OHS training and management support have a positive, statistically significant effect on compliance, whereas supervision and the availability of safety facilities do not. The model demonstrates strong explanatory power, indicating that organizational factors collectively influence compliance behavior. Notably, management support emerges as the most dominant factor, highlighting the critical role of leadership commitment in fostering a safety-oriented work environment. The study concludes that improving compliance among hospital security personnel requires an integrated approach that prioritizes strong managerial support and continuous training, alongside improvements in supervision and effective utilization of safety facilities.]]>
<![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 ]]>
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DOI: 10.62157/ijietom.v3i2.114
<![CDATA[Time control is a critical factor in the successful delivery of drainage construction projects, which are often characterized by high complexity, limited working space, and significant uncertainty in activity durations. Delays in such projects can have substantial economic and social impacts, underscoring the need for reliable schedule performance evaluation. This study aims to evaluate the schedule performance of a drainage construction project by integrating the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) using a Work Breakdown Structure (WBS)-based approach. The research employs secondary data in the form of a project schedule presented as a weekly S-curve with a planned duration of 180 calendar days. A CPM network is developed at the WBS level to identify the dominant project path, followed by applying PERT to critical activities to assess duration uncertainty and completion probability. The results indicate that the dominant path consists of preparation works, earthworks and piling works, drainage channel construction, and pedestrian access works, with drainage channel construction identified as the most critical activity. The PERT analysis reveals that uncertainty in dominant activities increases the expected project duration and reduces the likelihood of on-time completion. These findings suggest that deterministic scheduling alone may underestimate project timelines, whereas integrating CPM and PERT provides a more realistic evaluation framework. The study concludes that a WBS-based CPM–PERT approach is effective for assessing schedule performance under data limitations and offers practical insights for improving project time control and 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 ]]>
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DOI: 10.62157/ijietom.v3i2.115
<![CDATA[Road pavement plays a critical role in ensuring the functionality and sustainability of transportation infrastructure, particularly under increasing traffic loads and challenging subgrade conditions. Conventional pavement systems, although widely used, often exhibit performance limitations, such as deformation and differential settlement, when applied to weak soils. This study aims to compare the Spider Web Pavement (slab-on-pile system) with conventional pavement systems in terms of structural performance, technical characteristics, and economic efficiency. A descriptive–comparative methodology based on a systematic literature review was employed to analyze key parameters, including load distribution, pavement thickness, construction complexity, maintenance requirements, and service life. The results indicate that the Spider Web Pavement system provides superior structural performance by efficiently transferring loads to deeper soil layers, significantly reducing subgrade stress and minimizing settlement. It also demonstrates greater resistance to deformation and a longer service life than conventional pavements. However, these advantages are associated with greater construction complexity and higher initial costs. In contrast, conventional pavements offer simpler construction processes and lower upfront investment but require higher maintenance and exhibit shorter service life, particularly under weak subgrade conditions. The findings suggest that while conventional pavements remain suitable for stable soils and cost-sensitive projects, Spider Web Pavement systems offer a more sustainable and cost-effective solution in the long term, especially in geotechnically challenging environments. The study highlights the importance of adopting a life-cycle and performance-based approach in selecting appropriate pavement systems for sustainable road infrastructure development.]]>
