Schedule Delays Research Articles

Developing a theoretical framework for enhancing green project approaches via Agile methodology.

The application of green building approaches has significantly increased in many countries and buildings, accompanied by the development of numerous standards and methodologies for their implementation. Despite these efforts, not all risks and challenges facing green projects have been eliminated in some regions. Issues such as financing difficulties, budget overruns, and schedule delays continue to pose significant challenges. As a result, no substantial improvements have been made in the approach to green projects. Therefore, this study aims to develop a theoretical framework that enhances the approach to green projects. By utilizing the AGILE methodology, specifically SCRUM, the most significant risks facing green projects were identified and converted into indicators based on prior studies. Furthermore, Building Information Modeling (BIM) technology, particularly Green BIM (GBIM), was employed to create tools and elements to address these challenges, leading to the development of a conceptual framework capable of providing solutions. This framework was built around 30 indicators, whose weights were determined through an electronic questionnaire involving 140 specialists in green projects, AGILE methodology, and BIM technology. Assistance from academic experts was also sought. The results of the questionnaire, analyzed using statistical methods, contributed to the development of a theoretical framework aimed at improving the approach to green projects.

Modelling construction performance variability for probabilistic time estimation of tunnelling projects

ABSTRACT Budget overrun and schedule delay of infrastructure projects result in the mismanagement of huge amounts of resources. Studies show that accounting for uncertainties in time and cost estimation of such projects can help the decision-makers in better understanding the involved risks. Several probabilistic models have been developed during the last two decades to facilitate such estimations. A common aspect of all these models is the subjective assessment of unit activities' duration, which affects the accuracy of the estimated time and cost significantly. Despite this, the mechanism governing the variability of unit activities' duration has seldom been studied. Thus this paper focuses on addressing this gap by using a unique set of data from a tunnel project. The variability in unit activities' duration (construction performance variability) is governed by three main components: typical performance variability, minor machinery delays and minor performance delays. Using these components, a novel method for modelling construction performance variability in probabilistic time estimation of tunnelling projects is proposed. The application of the proposed method is demonstrated through a case example with a discussion on its important aspects, advantages and limitations. The findings of this paper offer a resource to improve the accuracy of time estimation for tunnelling projects.

Causality-Sensitive Scheduling to Reduce Latency in Vehicle-to-Vehicle Interactions

This paper shows through real-life measurement that bi-directional vehicle-to-vehicle (V2V) communication latency can be dominated by sidelink scheduling delay when causality is not taken into account. Moreover, the large delay persists for a few seconds at a time once it occurs. In applications like maneuver coordination between autonomous vehicles or in platoon, such delay can be highly detrimental to safety and efficiency. We investigate the source of the problem and propose a solution that factors in causality in interactive communication. Specifically, we develop a constraint under which the resource positions are automatically aligned between the communicating vehicles, and the delay spikes are provably eliminated. Through the measurements on commercial V2X devices, we confirm that enforcing the constraint can remove latency spikes so that 5G sidelink can be more easily applied to time-sensitive interactions between vehicles.

Development of a mathematical model for managing schedule delays in air traffic operations

The object of this research is delay in air traffic operations. The problem in this research that must be solved is how to reduce the impact of frequent delays which cause time efficiency but cause increased operational costs and make customers dissatisfied with air traffic services and then there is time complexity which is difficult to overcome. The interpretation of this research is to analyze existing problems and then apply mathematical methods so that it is possible to develop a model that is able to dynamically optimize flight rescheduling which can be beneficial for customers in reducing waiting times. This model will consider many important variables in managing delay schedules including real-time weather conditions, aircraft availability, airport capacity so that the results of this model show the ability to reduce the frequency and duration of delays which can increase customer satisfaction. This application shows that the model developed has main characteristics such as flexibility in adjusting schedules in terms of delays and accuracy in predicting potential delays so that the problems analyzed and researched can be resolved effectively and efficiently. This model can predict schedule delays with an accuracy level of 90 % according to predetermined input variables. Then there are quantitative benefits in the form of reducing operational costs for delays, increasing prediction accuracy and optimizing flight schedules. Qualitatively there are benefits in customer satisfaction and faster and more effective decision making. The scope of this research includes managing flight schedules at airports and international hubs. Implementation of this model is important to ensure high operational efficiency and minimize the impact of delays in various operational conditions

Rework in civil construction projects at design phase: Influencing factors and suggested solutions

Among the various project phases, the design phase often contains errors that result in rework in civil construction projects. This rework can lead to budget overruns, schedule delays, and a decline in construction quality. There is rare knowledge of reworks in civil construction projects, especially in the design phase. This paper presents an overview of the influencing factors and solutions for reworks in civil construction projects at the design phase. To achieve this objective, a survey on the causes of rework was conducted with experts experienced in designing and constructing civil projects in southern Vietnam. Civil engineers and investors involved in the project at the design phases were targets of the survey. Five groups, including designers, design managers, investors, subcontractors, and objective conditions, were selected for designing survey questionnaires. Then, the PCA (principal component analysis) was applied to the collected data to reveal the most influencing factors on rework causes. Based on the results obtained, several suggestions are proposed to minimize rework in civil construction projects. These findings can serve as valuable insights for investors and design consultants, fostering learning and process improvements to reduce rework in future projects.

Does a correlation exist between delayed vaccination and a decreased vaccine confidence?

ABSTRACT Delay in vaccination schedule may result in increased risk of vaccine-preventable outbreaks. Lack of parental confidence in vaccines and sociodemographic factors could be related to those delays. Vaccine Confidence Index (VCI) is an indicator to estimate confidence in vaccines, composed of simple dimensions about it and evaluated using a 5-point Likert scale. Objectives of this study, conducted in the Region of Murcia, Spain, were to determine which sociodemographic factors were associated with delayed administration in measles, mumps and rubella (MMR) vaccine, both first and second doses, and to evaluate if there were differences in parental vaccine confidence of children who were delayed on MMR vaccine schedule compare to vaccinated on time. The 2019–2020 (first dose) and 2016–2017 (second dose) cohorts were divided into four categories: vaccinated on time, slightly delayed, moderately delayed and highly delayed. Online questionnaire was sent to their parents, followed by a telephone questionnaire for non-responders. Regarding MMR first dose, a significant association was found between delay and birth order and intellectual/motor delay of children. Parental educational status, the main source of vaccine information and the social networks more frequently used by parents were also associated with delay. Suffering motor/intellectual delay and the obstacles to vaccination process derived from caring for other siblings were associated with delay in second MMR dose. The VCI decreased significantly in first dose group as delay increases but did not change in the second one. Confidence in vaccines and sociodemographic factors, respectively, were associated with delaying MMR first and second dose.

DELAY RED FLAG CONSTRUCTION COMPANY: CONTROL ANALYSIS WITH FOUR LEVER OF CONTROL

Despite extensive research on construction delays, this persistent issue continues to challenge the global construction industry. This case study aims to enhance the theoretical and practical understanding of management control systems (MCS) in construction firms by identifying the primary causes of project delays and examining the MCS components involved. A qualitative case study was conducted at a national private construction company (Jakons) to identify delay factors and propose solutions by linking them to MCS. The study focused on two Jakons projects that experienced delays, with primary data collected through interviews with five key informants directly engaged in MCS for the projects. Analysis of the interviews revealed common delay causes related to the project owner, consultants, labor, and materials. These causes were then connected to MCS practices and assessed using the four Levers of Control (LoC) framework, including Belief, Boundary, Diagnostic, and Interactive control systems. The study identified areas for improvement in MCS related to communication management, coordination, competence, and risk management that impact schedule delays. These findings provide valuable guidance for construction practitioners in planning and managing projects and offer insights to reassess MCS strategies to mitigate delays and achieve timely project completion.

Forecasting the outcomes of construction contract disputes using machine learning techniques

PurposeThis study aims to develop a predictive model using machine learning techniques to forecast construction dispute outcomes, thereby minimizing economic and social losses and promoting amicable settlements between parties.Design/methodology/approachThis study develops a novel conceptual model incorporating project characteristics, root causes, and underlying causes to predict construction dispute outcomes. Utilizing a dataset of arbitration cases in Türkiye, the model was tested using five machine learning algorithms namely Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbors, and Random Forest in a Python environment. The performance of each algorithm was evaluated to identify the most accurate predictive model.FindingsThe analysis revealed that the Support Vector Machine algorithm achieved the highest prediction accuracy at 71.65%. Twelve significant variables were identified for the best model namely, work type, root causes, delays from a contractor, extension of time, different site conditions, poorly written contracts, unit price determination, penalties, price adjustment, acceptances, delay of schedule, and extra payment claims. The study’s results surpass some existing models in the literature, highlighting the model’s robustness and practical applicability in forecasting construction dispute outcomes.Originality/valueThis study is unique in its consideration of various contract, dispute, and project attributes to predict construction dispute outcomes using machine learning techniques. It uses a fact-based dataset of arbitration cases from Türkiye, providing a robust and practical predictive model applicable across different regions and project types. It advances the literature by comparing multiple machine learning algorithms to achieve the highest prediction accuracy and offering a comprehensive tool for proactive dispute management.

The Impact of Smartpm's Ai-Driven Analytics on Predicting and Mitigating Schedule Delays in Complex Infrastructure Projects

This study explores the extent to which SmartPM's AI-driven analytics can predict and mitigate the potential impending schedule delays on complex infrastructure projects. From this study, the exhaustive research based on case study and associated data asserts that AI-driven predictive analytics can significantly leverage the outcomes of projects by bringing the identified potential delays to notice before such occurrences and provide actionable insight regarding the possible strategies to mitigate it.

First year report of the IMSS Multicenter Hip Fracture Registry.

Hip fracture registries provide a means to compare care and establish improvement processes. The Mexican population has aged; thus, there is a greater risk of osteoporosis, and its main consequence is hip fracture due to fragility. Its incidence is high, and it is expected to increase due to aging in our country. International guidelines provide standardized recommendations for the care of people with hip fractures, while hip fracture registries provide a means to compare care with local, national, and international clinical standards and establish improvement processes. Describe the standards of care for hip fractures in various hospital centers of the Mexican Social Security Institute. This was an observational, multicenter, longitudinal, and descriptive study. It included 24 hospital centers in Mexico. Informed consent was obtained. Data were recorded during the hospital stay, epidemiological data, and management, and follow-up was carried out 30 and 120days after discharge. The information was analyzed using SPSS version 22.0. A total of 1042 subjects aged 79.5 ± 7.6years participated, mostly women (n = 739; 70.9%) from the community (n = 1,021; 98.0%) and with functional independence (Barthel 80.9 ± 22.2). The transfer time to the emergency room was 4.6 ± 14.6days. Pertrochanteric hip fracture was the most common (n = 570, 54.7%). The most common type of procedure was dynamic hip screw (DHS) (n = 399; 40.1%). Documented thromboprophylaxis was granted in 91.5% (n = 953) and antibiotic prophylaxis in 53.0% (n = 552) of the patients. The goal of 36h for the surgical procedure was achieved in 7.6% of the subjects (n = 76), with the most frequent cause being a delay in scheduling (n = 673, 67.6%). The mean time from emergency room to surgery was 7.8 ± 7.0days. The acute mortality rate was 4.3%. Secondary pharmacologic prevention upon discharge occurred in 64.2% of patients. At 30days, 370 subjects (37.1%) were lost to follow-up, with a mortality of 3%, while at 120days, 166 subjects (27.8%) were lost, with a mortality of 2.8%. In the hospital centers where the study was carried out, there are still no standards of care for hip fractures, which makes it necessary to rethink the care for this population group through a strategy focused on meeting those standards.

Development of a Prediction Model for Construction Project Cost in India: an Analytical Approach A Review

The fundamental problem in the construction industry is that building projects are completed attaken a tolls significantly higher than estimated venture taken a tolls consequently, it is fundamental todevelop a taken a toll forecast show that detain all components influencing the extend taken a toll bymeans of relapse examination. Development costs are continuously inclined to vacillations, with a longtermdesign of expanding, making the estimating prepare a difficult errand. Vacillations within the fetchedof building materials have a noteworthy affect on foreseeing the esteem of a venture and, as a result, onthe project's great conclusion It is well known that civil engineering projects are prone to cost overrunsand schedule delays. Lack of project scope and frequent changes leads to a negotiation process interms of cost and time between the first partyowner and the second partycontractors. In the project lifecycle, cost forecast is a precursor to budget prices and resource allocation, thus it is critical for anyorganization. The following objectives are framed based on the literature study identify the constructioncost predictability of various tools, identify the various influencing factors to predict the material price ofcement and steel, model the Construction Cost Index (CCI), predict the construction duration (Especiallyfor highway projects, as compared to other kind of projects. They are having more obstacles to completethe task), predict the land value, Regarding this issue this paper find the best methodology for thePrediction Model for Construction Project Cost by analysising the different researchers papersresearch.

Analysis of the Governance System of National Health Insurance Referral Patients at the Outpatient Polyclinic of Dian Harapanjayapura Hospital, Papua

The National Health Insurance (JKN) program, which has been running since January 1, 2014, has been widely benefited by most of the community. This program makes it easy for the public to access health services. However, the implementation of JKN for nine years often faces problems and challenges, one of which is governance. Many parties involved in this JKN program include BPJS Kesehatan as the organizer, the Ministry of Health as a regulator, Health Facilities (hospitals) as service providers and Professional Associations. This research is a qualitative research with a type of program review (governance system). The data collection process is carried out by conducting observations, interviews, analysis and documentation. Data analysis is in the form of an explanation of the situation being studied, while the presentation is in the form of a story explanation. This is in accordance with descriptive research which is the study of observations on the object of research to obtain an overview and actual circumstances. This research has been conducted at Dian Harapan Jayapura Hospital in Papua in February 2024. Based on the results of the study, it was found that inputs, processes and outputs related to the governance of National Health Insurance referral patients at the Outpatient Polyclinic of Dian Harapan Jayapura Hospital Papua were based on an assessment of human resources, facilities and infrastructure, Standard Operational Procedures, constraints and problem solving processes. The results of the study based on the influence of Human Resources show that training related to BPJS has not been carried out evenly for all personnel, including the evaluation of services has not been carried out regularly. The Assessment of Facilities and Infrastructure is considered to have been fulfilled only due to disturbances in the queue machine, the V-Claim application and Scan Finger interference. The assessment of SPO is considered to be available and understood, but there has been no routine evaluation to assess the progress of SPO implementation. The assessment of the obstacles that are often experienced is the disruption of the V-Claim Application and the queue system is still offline because the patient has not used the Mobile JKN Application so that the patient comes early in the morning to take the queue number. In terms of handling problems in stages starting from internal, if necessary, coordination between units or coordination with management with higher authority will be carried out. The conclusion in this study is that Human Resources have a great influence on services, in terms of the number that has been fulfilled, it is still necessary to evaluate the progress of services such as obstacles to delays in the doctor's practice schedule to be corrected according to the agreement so as not to affect service satisfaction. Regarding Facilities and Infrastructure, it is still considered good, it only needs to be added to facilitate online registration by increasing the benefits of the Mobile JKN Application, including the Queue Display facility at the Polyclinic. The applicable Standard Operational Procedures have been implemented, but there has not been a routine evaluation of the implementation of the SPO has been carried out appropriately or still requires additional SPOs to support services. Regarding obstacles and the solution of obstacles, it is considered good. Each officer is already independent in handling problems.

An innovative integrated framework for multi-level production planning and control systems in construction

The construction industry is plagued by chronic inefficiencies, such as low productivity, significant waste, cost overruns, and schedule delays. One of the most critical contributors to these issues is fragmented and ineffective planning and control methods. This research aims to address these challenges by developing an innovative integrated multi-level framework for production planning and control that harmonizes various planning methods and control metrics across different schedule levels. Employing the Design Science Research (DSR) methodology, this study systematically develops and evaluates an innovative framework that integrates internal and external project characteristics, utilizing the concept of "functionality" as a primary key for coherent integration. Furthermore, a multi-objective mathematical model is incorporated to clarify the framework's components and optimize the number of suggested planning methods and control metrics at each scheduling level, aiming to balance the functional requirements of project teams with the practicality of implementation.The application of the framework to a renovation case study demonstrates its practicality and strategic value, effectively addressing real-world project management challenges. Moreover, industry and academic evaluations highlight its potential to significantly improve construction project management practices.

Legal and Financial Risk Management in Large-Scale Construction Projects

Construction projects involve many parties and experts such as builders, contractors, designers, and consultants, which causes project arrangements to be complicated with many risks and uncertainties, including legal and financial risks. Legal risks include aspects of contracts, permits, certificates, claims, lawsuits, and sanctions. Conflicts or disputes can arise due to legal risks, which can lead to cost overruns and delays in project schedules. The project manager must be able to mitigate these risks in order to achieve the project objectives. This study uses descriptive qualitative and descriptive analytical methods to provide a detailed description of the research problem. The results showed that the risks adversely affect the legal aspects of construction, time, cost, and quality of the project. Legal risks in construction projects can arise due to several reasons, namely problems with documents and contract articles, lawsuits from third parties, and problems in acquiring project land. Good risk management is required to improve project efficiency, and project performance is improved when the organization can create a high fit between risk exposure and risk management profile.

Legal and Financial Risk Management in Large-Scale Construction Projects

Construction projects involve many parties and experts such as builders, contractors, designers, and consultants, which causes project arrangements to be complicated with many risks and uncertainties, including legal and financial risks. Legal risks include aspects of contracts, permits, certificates, claims, lawsuits, and sanctions. Conflicts or disputes can arise due to legal risks, which can lead to cost overruns and delays in project schedules. The project manager must be able to mitigate these risks in order to achieve the project objectives. This study uses descriptive qualitative and descriptive analytical methods to provide a detailed description of the research problem. The results showed that the risks adversely affect the legal aspects of construction, time, cost, and quality of the project. Legal risks in construction projects can arise due to several reasons, namely problems with documents and contract articles, lawsuits from third parties, and problems in acquiring project land. Good risk management is required to improve project efficiency, and project performance is improved when the organization can create a high fit between risk exposure and risk management profile.

Integrating Dimensions in Predictive Risk Models for Construction Projects

Abstract This review explores the evolution of predictive risk models in construction, emphasizing the integration of key dimensions—quality, safety, schedule delay, cost overrun, and environmental risk. Synthesizing diverse literature, it highlights findings, methodologies, and implications. From a historical perspective, it outlines criteria and search strategies, addressing limitations. Thematic sections delve into individual risk dimensions, and cross-theme analysis identifies overarching trends. Methodological approaches are scrutinized, challenges and controversies are discussed, and future directions suggest areas for exploration. In conclusion, the paper advances holistic risk management, aiding researchers, practitioners, and stakeholders in construction project risk assessment.

Critical Risk Factors Associated with Schedule Delays in Gas Processing Facility Projects: Case Study in Indonesia

Critical Risk Factors Associated with Schedule Delays in Gas Processing Facility Projects: Case Study in Indonesia

Understanding the determinants of self-reported asthma in Turkey: insights from national data on individual, lifestyle, socioeconomic, and healthcare access factors

Asthma, influenced by genetic, environmental, and social factors is leading to poor outcomes and preventable mortality due to inadequate care and limited access to effective treatments. This study aimed to analyze self-reported asthma prevalence in Turkey, focusing on its determinants, such as individual factors, lifestyle, socioeconomic status, and healthcare access.This study conducts a secondary analysis of the 2019 Turkiye Health Survey (THS), employing a nationally representative cross-sectional design by the Turkish Statistical Institute. The sampling utilized a stratified, two-stage cluster sampling method, with data from 16,976 adults (aged 15 years and older) analyzed for asthma determinants. The independent variables are categorized into four domains: individual factors, lifestyle assessment, socioeconomic factors, and access to the healthcare services.The prevalence of asthma is 9.8%, varying significantly across demographics. Higher asthma rates are observed among older, divorced/widowed individuals, those with communication difficulties, and obese individuals. Cost-related unmet healthcare needs and appointment scheduling delays increase asthma risk. Logistic regression models identified age, marital status, obesity, education level, and healthcare access as significant predictors of asthma.This study underscores the multifaceted determinants of asthma in Turkey, highlighting the necessity for targeted interventions addressing individual, lifestyle, socioeconomic, and healthcare access factors.

Analysis of The Earned Value Analysis Method In Construction Projects of Pulantan River Embankment

In the process of a development project, numerous things need to be considered. The time control method used in this research was the Earned Value Analysis method. This research was conducted at the Pulantan River Embankment Improvement Project, Banjarbaru City. The data used in this research include the Time Schedule, Cost Budget Plan, and Weekly Progress Report. This data generates Planned Value and Earned Value. With the help of the Microsoft Excel program, the SV, SPI values, as well as the predicted final project completion time (TEAC and TE) were obtained. The analysis of the timing of the Pulantan River Embankment Improvement project in Banjarbaru City showed that in terms of implementation time, there will be a delay in the work plan schedule with an SPI value below (Negative) <1.00. As of the 25th week, the SPI value is 0.93. The estimated remaining work implementation time from week 25 is 2 weeks of implementation time. The estimated total time for completion of the Pulantan River Embankment Improvement Project in Banjarbaru City is 27 weeks which is 2 weeks longer than the contracted plan schedule of 25 weeks.

Pengaplikasian Data Analisis pada Data Penundaan Penerbangan dan Kinerja Maskapai di Suatu Bandara

The aviation industry is growing very significantly due to increased mobility, economic expansion and current technological advances. However, as mobility increases and the number of airline passengers increases, airlines experience problems in overcoming flight schedule delays or in other words delays. Data analysis plays an important role in processing large amounts of data to find hidden insights in data. The aim of writing this service journal is to identify days with the highest average minutes of delay, months that experience the highest average delays, and at what times flight delays often occur. . This service object uses secondary data obtained from the Kaggle site. It is hoped that this journal can be used as material for consideration in decision making and improving the operational performance of each airline involved.