Logistic and Operation Management Research (LOMR)

Stakeholder Satisfaction Level in the Delivery of Services of a Fish Port Complex in the Philippines

Jesus Briones — 2025-11-29

Fish port complexes play a crucial role in the post-harvest fisheries sector, serving as central hubs for landing, processing, and distributing fish products. This study assessed stakeholder satisfaction with service delivery at a fish port complex in the Philippines, focusing on 325 stakeholders (fish brokers, buyers, and ice dealers/ crushers). Employing a mixed-methods approach, combining both quantitative and qualitative research designs, data were collected through an adapted questionnaire administered face-to-face with respondents, along with semi-structured interviews to capture in-depth qualitative insights. The quantitative data were analyzed using frequency, percentage, weighted mean, and Pearson correlation coefficient. Thematic analysis was employed to analyze the qualitative responses, identifying key themes and recurring patterns within the data. The findings revealed that stakeholders were satisfied with the services delivered at the fish port complex in terms of billing, payment, accreditation and renewal of permits, as well as the issuance of permits to conduct business. Furthermore, perceptions of respondents in the four service areas showed no significant differences across demographic profile, indicating that improvements in these areas would likely benefit all stakeholders. However, challenges including billing and payment issues, bureaucratic delays, slow processing, and complex permit processes have negatively impacted satisfaction of the fish brokers. Based on these findings, the study proposed strategies to enhance the service quality of the fish port complex. These improvements are also deem essential for other fish port complexes aiming to enhance its operational efficiency, build stakeholder trust, and ensure the sustainable development of the fisheries sector.

The Impact of Crew Resource Management Training on Operational Skill of Aircraft Operation Student: A Comparison Between Simulation-Based and Theoretical Learning

Rico Darmawan — 2025-11-29

Crew Resource Management (CRM) is a critical training method in aviation aimed at improving teamwork, communication, risk management, and decision-making to minimize human error, a significant contributor to aviation accidents. While theoretical training builds foundational knowledge, it often lacks practical application necessary to develop operational skills in real scenarios. This study compares CRM training through simulation using the FLOPS Simulator with traditional theoretical instruction, focusing on their impact on Aircraft Operations students’ skills. This quasi-experimental study investigated the effects of theoretical and simulation-based CRM training on operational skills among 24 Aircraft Operations students. Initial CRM knowledge was assessed through a theory test, followed by a first simulation to evaluate students practical CRM skills. Observations and interviews captured their challenges and experiences. A second simulation assessed improvements in operational skills, with data analyzed using descriptive statistics and qualitative insights from interviews. Results indicate that simulation-based CRM training significantly enhances operational skills, particularly in communication, teamwork, risk management, and decision-making, compared to theoretical training. Simulation provides a more immersive learning experience, allowing the application of CRM principles in near-real operational conditions. This study, conducted at a single institution, highlights the need for broader research involving multiple institutions and long-term assessments to further validate findings. By addressing gaps in CRM training, this research underscores the effectiveness of simulation in aviation education and its potential to improve CRM training practices

Analysis of Space Designation Direction Based on Building Area Coefficient, Accessibility, and Building Function: Study on Lakidende University Development Plan

Haydir Haydir — 2025-11-29

The growing population and increasing demand for space have made spatial planning a critical component of sustainable development. In a campus environment, efficient spatial organization supports both academic and social functions. With Lakidende University experiencing a rise in student numbers, strategic space utilization has become essential. This study analyzes the spatial development direction of Lakidende University based on building coefficient, accessibility, and building functions. A qualitative approach with a quantitative descriptive design was applied. Data were collected through field observations, documentation, and document review. Key variables included the building coverage ratio (minimum 30%), accessibility, and functional use of buildings. The analysis compared existing campus conditions with relevant spatial regulations. Tools such as ArcGIS and SketchUp supported site planning analysis. The findings indicate that Lakidende University, spanning 30,000 m², has 27,197.16 m² of non-buildable land (8.1%), while the current building coefficient reaches the minimum threshold of 30%. The available development area is 8,159.15 m². Based on the number of students, lecturers, and staff in 2023, projected spatial needs for new faculty buildings, a library, canteens, parking, and open areas amount to 5,964.5 m². This remains within the allowable development area. The results demonstrate adequate space for future expansion. This research offers fresh insight into campus spatial planning at Lakidende University, addressing previously unexamined gaps. By evaluating land use coefficients, accessibility, and spatial functions, the study presents practical strategies for efficient space management to support long-term institutional growth and sustainability.

Business Process Management Capabilities for Sustainable Life Cycle Assessment and Reliability-Centered Maintenance Decision-Making Implementations

Chuks Medoh — 2025-11-29

Life Cycle Assessment (LCA) and Reliability-Centered Maintenance (RCM) are complementary. Several studies have attempted to integrate both approaches for a more comprehensive assessment of business impacts and to make more sustainable decisions. This article provides a valuable cross-disciplinary contribution by bridging LCA and RCM in the mining sector to explore how the integration of LCA and RCM, based on business process management, affects the sustainability of decision-making. The methodological approaches include bibliometric analysis, Failure Mode and Impact Analysis (FMECA), and simulation. The results show that LCA and RCM are complementary and can be modeled in a holistic way (system theory) based on business process management. Bibliometric analysis confirms the need for more research into digital tools for data integration. Document analysis provides information on how the case study mining industry is performing against global maintenance practices to make more sustainable decisions. The FMECA complements the evaluations provided in this article with qualitative information on the process of operationalization of the proposed integrated framework. FMECA provides data on possible failure modes, their effects, and the criticality of each component. Based on the scenario impact assessment using the key parameters of the LCA and RCM measurements, the simulation results show that the combined business processes of the LCA and RCM can be captured and tested, aimed at quantifying these business processes for the mining sector used as a case study.

Policy Guidelines for Managing Variation Orders in Philippine Water and Wastewater Projects Using Analytical Hierarchy Process

Misael L Camposano Jr — 2025-11-29

This study aimed to identify and analyse the impacts of variation orders on project costs in selected water and wastewater projects in the Philippines using the Analytical Hierarchy Process (AHP). Specifically, the study sought to determine and rank the most critical causes of variation orders and to propose a policy guideline to minimize their impacts on project costs. A mixed-methods approach was employed, involving surveys administered to experts directly involved in water and wastewater projects. Responses were evaluated using the AHP technique, which enabled the prioritization of the identified causes based on their relative influence. The results revealed that design changes, errors and omissions in design, and changes in project scope were the top contributing factors to variation. These causes were found to significantly affect project cost, leading to increased expenditures and potential delays. Consequently, the desire for profit and the ambiguous design from the consultant are driving variation, impacting cost as well. Through the AHP, a pairwise comparison matrix was developed, which established a consistent and structured ranking of these causes based on expert judgment. The study concluded that effective planning to finalize the scope, enhanced stakeholder coordination, and improved design review processes are essential to mitigate the adverse impacts of variation orders on the project cost. A policy guideline was developed to assist agencies in managing and reducing variation-related issues in future projects

Toward SCOR 5.0: Integrating AI, IoT, and Green Metrics for Next-Generation Supply Chain Performance Management

Adieb Mursyada — 2025-11-29

The convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and sustainability metrics is reshaping supply chain management, yet comprehensive frameworks that unify these elements remain limited. This study aims to propose a conceptual advancement, SCOR 5.0, by systematically reviewing literature from 2020 to 2025 that addresses AI, IoT, and green performance within the SCOR (Supply Chain Operations Reference) framework. Following PRISMA guidelines, 46 peer-reviewed studies were thematically analyzed and synthesized across the five SCOR process areas: Plan, Source, Make, Deliver, and Return. The findings reveal that AI improves predictive accuracy, enhances decision-making, and optimizes sourcing and manufacturing. IoT facilitates real-time tracking, agile delivery, and system-wide visibility. Green metrics, when embedded into SCOR, align performance with sustainability goals, but adoption remains inconsistent. Additionally, the study underscores the moderating role of Green Digital Learning (GDL) in supporting digital readiness and employee capacity building. While the study outlines a proposed SCOR 5.0 model integrating AI, IoT, and green KPIs, it identifies significant implementation barriers, including high costs, regulatory constraints, skill shortages, and a lack of standard metrics. The review highlights a pressing need for empirical validations, testbeds, and impact-assessment tools that can translate theoretical models into practice. This research contributes a synthesized framework and outlines actionable paths forward for both scholars and practitioners.

Barriers to Export for Export Firms in Myanmar After 2021: Evidence from Firm-Level Analysis

Atar Thaung Htet — 2025-11-29

This study intends to analyze the effect of export barriers on the export performance of export firms in Myanmar after the 2021 military coup. There are two specific objectives for this study. The first one is to analyze the effect of internal barriers on export performance, and the second one is to examine the effect of external barriers on export performance. This study used primary and secondary data to achieve the research objectives. The primary data was obtained by the survey method. The 130 respondents who are owners and senior/mid-level managers of 70 exporting firms participated in this research. A stage sampling method was applied for primary data. The World Bank data site provides the secondary data for this study. This research extracted the data from 2011 to 2023 as the basic time frame for the study period. The descriptive statistical analysis and multiple linear regression analysis method were applied as major data analysis techniques in this study. The research found that informational barriers and functional barriers have a significant effect on the export performance of export firms in Myanmar on the internal barriers side. On the other hand, macro factor barriers and procedural barriers have positively positive effect on export performance. The study suggested that policymakers of Myanmar should align the macroeconomic policies by reflecting the real trade situation. At the firm level, individual firms should emphasize their export strategies that are relevant in the regional and the rest of the world. Moreover, the study suggests to the academic world for further exploration in the research field of export barriers and export performance in the context of developing countries.