KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 9 of 9

Some of the metrics are blocked by your
consent settings
How Key Success Factors Improve Delay Mitigation in Construction Projects: The Mediating Role of Project Readiness
(2026-06-01)
Lithanarung, Sophon
;
Laokhongthavorn, Laemthong
;
Ahmed, Mukhtar
;
Chatpattananan, Vuttichai
Construction projects continue to experience persistent schedule delays that adversely affect cost efficiency, quality, productivity, and stakeholder satisfaction. Although prior studies have extensively examined the causes of delays, limited empirical evidence explains how integrated managerial success conditions proactively improve delay mitigation capability. This study investigates the structural relationships among Key Success Factors (KSF), Project Readiness (PR), and Delay Mitigation (DM) in construction projects. The analysis primarily focuses on delay mitigation during the construction execution phase, where managerial capability and project readiness directly influence schedule performance and disruption response. A quantitative research design was employed using questionnaire data collected from 308 construction professionals in Thailand. KSF was conceptualized as a higher-order construct reflected by Project Execution Capability, Managerial and Digital Support, and Supply Chain Capability. Data was analyzed using Exploratory Factor Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling. The findings indicate that KSF significantly enhances both Project Readiness and Delay Mitigation, while Project Readiness positively contributes to delay mitigation performance and partially mediates the relationship between managerial capability and project delay mitigation outcomes. The study provides an integrated capability-based framework and practical guidance for improving project delivery performance in uncertain construction environments.
Some of the metrics are blocked by your
consent settings
Comprehensive Evaluation of Vertical Sub-Surface Flow Constructed Wetlands with Aquatic Plants on Water Quality of Raw and Phyto-Remediated Poultry-Aquaculture Wastewater: A Principal Component Analysis
(2026-06-01)
Akadiri, Shadrach A.
;
Dada, Pius O.O.
;
Badejo, Adekunle A.
;
Adeosun, Olayemi J.
;
Faloye, Oluwaseun T.
This study investigated the efficiency of macrophyte-based phytoremediation systems using Phragmites karka and Typha latifolia for the treatment of poultry–aquaculture wastewater and its suitability for irrigation reuse. Physicochemical parameters, heavy metals, and water quality indices were analysed using correlation analysis and Principal Component Analysis (PCA). Strong positive correlations were observed among turbidity, nutrients, biochemical oxygen demand (BOD<inf>5</inf>), and chemical oxygen demand (COD), while dissolved oxygen (DO) showed significant negative relationships, indicating organic pollution-driven oxygen depletion. Heavy metals exhibited strong intercorrelations, suggesting common anthropogenic sources and similar removal pathways. PCA results revealed that the first three principal components (PCs) explained over 95% of the total variance, with positive values recorded from the first PC highlighting organic load, nutrient enrichment, and metal interactions as dominant factors controlling wastewater quality. The negative values of factor loadings obtained in the second and third PCs confirmed the roles of sedimentation, adsorption, microbial activity, and plant uptake in pollutant removal. Water Quality Index (WQI) values decreased drastically from highly polluted levels (>3000) in raw wastewater to <1.0 after 21 days of treatment, indicating excellent water quality. Sodium Absorption Ratio (SAR) also declined significantly, confirming a low sodicity risk. Both macrophytes demonstrated high treatment efficiency, with Typha latifolia showing slightly improved sodium reduction. Overall, the study highlights macrophyte-based systems as sustainable, cost-effective solutions for wastewater treatment and safe agricultural reuse.
Some of the metrics are blocked by your
consent settings
Sustainable Reduction of Soil Permeability through Microbial Bio-Clogging
(2026-01-01)
Kamchoom, Viroon
;
Chaisarn, Sumetha
;
Khattiwong, Thiti
;
Laokhongthavorn, Laemthong
Microbially induced bio-clogging presents a promising, sustainable alternative to conventional soil improvmeent methods for mitigating seepage in geotechnical applications. Despite its potential, uncertainties remain regarding the influence of bacterial concentration, culture medium application, and associated setting times under field-like conditions—factors which are critical to the effective deployment of this technology in practice. This study investigates the impact of bacterial bio-clogging on the hydraulic behaviour of coarse-grained soils, with particular emphasis on the system's performance during and following the cessation of culture medium supply. Laboratory experiments were conducted to assess the mechanisms of permeability reduction resulting from microbial colonisation and extracellular polymeric substance (EPS) production. Results demonstrate that bacterial adhesion and subsequent EPS accumulation lead to the progressive clogging of soil pores, causing a marked decline in saturated permeability. The observed reductions in permeability are comparable to those produced by traditional methods such as cement and bentonite grouting. This highlights the durability of the biofilm matrix and its ability to maintain hydraulic resistance in the absence of continued nutrient input. These findings contribute valuable insight into the viability of bio-clogging as a ground improvement strategy. By elucidating the relationship between bacterial activity, EPS production, and soil pore occlusion, this research advances the practical understanding required to optimise bio-mediated techniques for field-scale applications in sustainable geotechnical engineering.
Some of the metrics are blocked by your
consent settings
Performance evaluation of machine learning algorithms for estimating reference evapotranspiration based on NASA POWER weather data: a case study in Nigeria
(2026-01-01)
Faloye, Oluwaseun Temitope
;
Awotoye, Grace
;
Eludire, Oluwadamilare Oluwasegun
;
Olaleye, Oluwatobi Solomon
;
Oluwadare, Ayoola Olamitomi
The Penman–Monteith (PM) method is recognized as the globally accepted approach for estimating reference evapotranspiration (ETo). However, its use is constrained in areas with limited or unavailable data. Predicting ETo using multiple support vector machine (SVM) kernels and decision tree (DT) ensembles with NASA POWER data is innovative, as previous SVM-based ETo prediction studies have relied primarily on linear kernels. This study aims to evaluate the performance of different machine learning (ML) models, specifically SVM and DT and their ensembles, using NASA Power data as input. For this purpose, ML models were trained using average values of the monthly climatic data (maximum and minimum air temperatures, relative humidity, and wind speed) from NASA POWER. ETo was used as the output variable and was calculated from ground-observed data using the PM method. The developed ML models underwent training and validation to determine ETo in areas with different weather conditions in Nigeria: Kano—dry weather, Onne—wet weather, and Ibadan—moderate weather. Thirty and 70 % of the data were used during training and validation, respectively. The SVMs used in this study include linear SVM, quadratic SVM, cubic SVM, fine Gaussian (FG) SVM, medium Gaussian (MG) SVM, and coarse Gaussian SVM. The decision trees include fine, medium, and coarse trees, along with their ensembles: bagged and boosted trees. The model performance was evaluated using various error metrics. The FG SVM model exhibited the most accurate and precise estimation of ETo, with root mean square error (RMSE) values of 0.38 and 0.599 mm during the training and testing phases, respectively. Additionally, the coefficient of determination (r<sup>2</sup>) was good, with values of 0.87 and 0.72 during training and validation. The FG SVM outperformed all other models across all study locations, demonstrating its robustness in predicting ETo despite the contrasting weather conditions. Overall, this study revealed that the integration of data from NASA POWER with FG SVM accurately estimated reference evapotranspiration, which is important for effective water resource management in areas where ground climatic data is unavailable.
Some of the metrics are blocked by your
consent settings
Exploring the knowledge system in building information modeling (BIM) technology for medical construction projects (MCPS): A bibliometric analysis and prospective direction
(2024-09-01)
Chen, Jiahao
;
Laokhongthavorn, Laemthong
This paper investigates the knowledge system in Building Information Modeling (BIM) technology in Medical Construction Projects (MCPs). Specifically, it proposes knowledge graph analysis utilizing scient metric techniques and employs VOSviewer and CiteSpace software to analyze the consequence of relevant statistics from the literature concerning BIM medical construction projects (BIM-MCPs). In order to analyze the collaboration network, the analysis of the co-occurrence network, and the analysis of the co-citation network, 83 journal articles were gathered. The results obtained from the research indicate that (a) the intellectual framework of BIM-MCPs can be categorized into four distinct clusters. (b) The research focus in BIM-MCPs has evolved, including model development, frameworks, implementation, system integration, application throughout the entire lifecycle, emergency medical engineering project applications, and intelligent management of medical facilities and smart buildings. (c) Prospective directions for research are delineated in three distinct areas: enhancement of use for BIM Medical Facility Management (BIM-MFM), integration of BIM technology in sustainability assessment, and application of BIM technology in emergency medical engineering and smart medical construction.
Some of the metrics are blocked by your
consent settings
Application of BIM and Virtual Reality of System Integration Design and Development in Medical Building Projects: A Case Study in China
(2024-07-01)
Chen, Jiahao
;
Laokhongthavorn, Laemthong
Design outcomes in the Medical Building Projects (MBPs) must satisfy the demand of the medical staff and stakeholders. However, they often do not have the relevant engineering expertise, so the design team is prone to misunderstandings when communicating with them using traditional two-dimensional (2D) Computer-Aided Design (CAD) drawings. The medical staff may not readily visualize and understand the design and then provide feedback to the designer through professional medical requirements or advice, which results in the need to redesign and carry out additional work during the design phase, thus delaying the progress of the MBPs. To address these challenges, this study aims to develop an integrated system based on BIM, advanced rendering engines, and VR technology for use in non-immersive and immersive VR environments. Moreover, in this study, the integrated system was applied to the infection-building project of the People's Hospital of Qingbaijiang District, Chengdu City, and semi-structured interviews were distributed to 16 engineers, designers, contractors, and medical staff who had been involved in the whole project to validate the practicality and effectiveness of the integrated system. The results indicate that this system integration is an efficient visual communication and simulation tool in medical design. Key advantages include enhanced communication efficiency between the design team and medical stakeholders, improved visual interaction, and streamlined decision-making processes within a 3D VR/BIM environment. The successful implementation of this integrated system is expected to significantly aid design teams and stakeholders in effectively managing medical design tasks in future projects.
Some of the metrics are blocked by your
consent settings
APPLICATION OF BIM IN MEDICAL BUILDING CONSTRUCTION PROJECTS: BARRIER FACTORS AND SOLUTION STRATEGIES: A CASE STUDY OF CHENGDU MEDICAL BUILDING CONSTRUCTION PROJECT
(2024-01-01)
Chen, Jiahao
;
Laokhongthavorn, Laemthong
In recent years, the use of BIM software in clinical building tasks has been paid greater and extra attention. Taking Chengdu's scientific development mission as an example, this paper discusses the utility of BIM in scientific building projects and researches the impediment elements and answer strategies. This paper makes use of semi-structured interviews and literature evaluations to evaluate every influencing aspect earlier than by conducting quantitative research. After amassing facts via qualitative methods, an online questionnaire survey was once built in accordance with the interview consequences and previous lookup papers, and a number of factors blanketed in the online questionnaire had been comprehensively explained, and the software state of affairs and present issues of Building Information Modeling (BIM) in scientific development tasks have been summarized. The consequences of the lookup exhibit that the predominant boundaries to the positive adoption of BIM technological know-how in Medical Building Construction Projects (MBCPs) departments in Chengdu are multifaceted. First, issues from collaboration and verbal exchange stand out. These challenges are compounded with the aid of doubtful roles and obligations inside the mission team. This ambiguity now not solely hinders fantastic teamwork but also prevents BIM from seamlessly integrating with present workflows. Second, there are full-size boundaries to interoperability and compatibility problems between exclusive BIM software program applications. This incompatibility creates limitations to the clean alternate of records and data, leading to inefficiencies and plausible blunders in challenge execution. The large range of software programs used at one-of-a-kind degrees of MBCPs exacerbates this problem. Finally, the inherent complexity of BIM software programs and tools, coupled with the time-consuming and cumbersome BIM process, poses a big challenge. This complexity frequently leads to a reluctance amongst stakeholders to embody BIM technology. Given these findings, this study learns about the stage for future lookup and sensible interventions aimed at advertising wider acceptance and the tremendous use of BIM in the Medical Building Industry (MBI) and Construction Industry (CI).
Some of the metrics are blocked by your
consent settings
Optimization-Based Train Timetables Generation with Demand Forecasting for Thailand High Speed Rail System
(2021-09-01)
Khwanpruk, Somkiat
;
U-tapao, Chalida
;
Khwanpruk, Kankanit
;
Laokhongthavorn, Laemthong
;
Suwannatrai, Arkom
In this paper, we propose a timetable optimizer (TO) consisting of the following parts: 1) Demand Forecasting Module 2) Train Optimization Module 3) Timetable Generator Module. TO is a specialized system for planning the train timetable which designed to help solve the problem of determining the number of trains that are suitable and scheduling the train suitably according to the number of trains designated by the system. TO integrates the passenger data from the latest round trip or historical information and forecasts a number of passengers of high-speed trains based on historical data in order to find the optimal number of trains by using a mixed integer programing model. Lastly, the TO system can applies the number of trains to calculate the appropriate train schedule so that the planning cycle is complete. A case study of high-speed railway system in Thailand with 36 trains to satisfy demand of 35,000 passengers/ each direction is conducted. The results show that the proposed system can quickly generate a timetable having an optimal number of train with suitable time interval according to a demand forecasting.
Some of the metrics are blocked by your
consent settings
A Study on High-Speed Rail Pricing Strategy for Thailand Based on Dynamic Optimal Pricing Model
(2021-06-30)
Khwanpruk, Somkiat
;
U-tapao, Chalida
;
Khwanpruk, Kankanit
;
Laokhongthavorn, Laemthong
;
Moryadee, Seksun
The Bangkok–Nong Khai high-speed railway is the first high-speed line in Thailand and is currently under construction. The project is due to be completed by 2023, with ticket prices starting at 80 baht plus 1.8 baht per km which can be considered as a straight-line fare set with a fixed rate increase. Different from the current price policy, this paper examines the application of dynamic pricing to Thailand’s HSR. Dynamic Pricing Optimizer proposed in this paper is a unique system of dynamic pricing by considering the changes in the amount of service requirements and the time of purchasing tickets designed to solve the problem of pricing that is appropriate. First, The Dynamic Pricing Optimizer (DPO) system will integrate the user data from the latest trip or historical information. After that, there will be a forecast for users of high-speed trains based on historical data in order to create a demand function that is linear. After that, the price will be determined by the optimization method to find the most suitable price in order to maximize the revenue. Lastly, we compare both fare policies and found that The Dynamic Pricing policy can increase revenue up to 6.5%.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results