Delay Analysis Research Articles

IFC-Based 4D Construction Management Information Model of Prefabricated Buildings and Its Application in Graph Database

Effective data interoperability and schedule analysis play a significant role in improving the management of prefabricated buildings. However, there is a lack of efficient strategies and comprehensive approaches for data interoperability and data-based automated schedule analysis. This paper intends to promote prefabricated buildings’ management by solving these two problems via developing an IFC-based framework consisting of three parts. Firstly, this framework proposed a mechanism to establish an IFC-based 4D construction management information model of prefabricated buildings. Furthermore, a non-relational database—graph database—is introduced to twin this model into a task-centered network to realize the interoperation of construction information among different participants. Finally, graph database-based strategies to update data, automatically analyze construction schedules and visualize the 4D construction management information model are described. The proposed framework is validated in a prefabricated engineering case. In this case, an IFC-based and graph database-based 4D construction management information model is established through IFC standard’s extension. The graph database-based analysis of the model automatically recognizes the engineering case’s critical path information, delay analysis information, and schedule network analysis information. It is illustrated that this framework can successfully establish a unified IFC-based information model of prefabricated buildings’ construction management to prompt effective data interoperability. In addition, the application of this IFC-based information model in graph database can automatically analyze the construction schedules to prevent possible delays in advance. In short, the significance of this paper is to innovatively propose an IFC-based and graph data-based information model to solve the difficulties of ineffective data interoperation and unautomated schedule analysis in prefabricated buildings’ construction management. This study can be the digital foundation of further IFC-based digital twin.

Stability analysis of delay induced tumor and immune system interaction model

This paper consists of interactions among T-helper cells (resting cells), Cytotoxic-T lymphocytes (hunting cells) and tumor cells with time delay. Stability analysis of equilibrium points and existence of hopf bifurcation is studied. Time delay is utilized as bifurcation parameter. Numerical simulations depict the dynamical performance of the system with different time delay values, which illustrate the phenomenon of long term tumor decline.

Analysis and Research on Blasting Network Delay of Deep-Buried Diversion Tunnel Crossing Fault Zone Based on EP-CEEMDAN-INHT

The Empirical Mode Decomposition (EMD) of blasting seismic wave monitoring signal with noise can get IMFs with serious modal confusion and endpoint divergence. The Hilbert transform is constrained by the Bedrosian theorem, when it dealing with such IMFs will get negative instantaneous frequency, which leads to serious error in the identification of non-electric millisecond detonator initiation delay. EP-CEEMDAN-INHT is proposed and applied to the delay analysis of blasting network of deep buried diversion tunnel crossing fault zone. Comparing EP-CEEMDAN-INHT with EMD-HHT, it is found that EP-CEEMDAN-INHT can clearly display the time–frequency information contained in the measured blasting vibration signal, and EMD modal confusion and endpoint effect are well suppressed. The actual millisecond time interval obtained by EP-CEEMDAN-INHT can judge whether the detonator is in normal service. At the same time, the blasting millisecond interval with the best damping effect is 54.51–59.75 ms, which can realize the optimization of blasting network and has important practical significance for blasting safety control.

A Comparative Analysis of Delay Propagation on Departure and Arrival Flights for a Chinese Case Study

In recent years, flight delay costs the air transportation industry millions of dollars and has become a systematic problem. Understanding the behavior of flight delay is thus critical. This paper focuses on how flight delay is affected by operation-, time-, and weather-related factors. Different econometric models are developed to analyze departure and arrival delay. The results show that compared to departure delay, arrival delay is more likely to be affected by previous delays and the buffer effect. Block buffer presents a reduction effect seven times greater than turnaround buffer in terms of flight delays. Departure flights suffer more delays from convective weather than arrival flights. Convective weather at the destination airport for flight delay has a greater impact than at the original airport. In addition, sensitivity analysis of flight delays from an aircraft utilization perspective is conducted. We find that the effect of delay propagation on flight delay differs by aircraft utilization. This impact on departure delay is greater than the impact on arrival delay. In general, specific to the order of flights, the previous delay increases the impact on flight on-time performance as a flight flies a later leg. Buffer time has opposite effects on departure and arrival delay, with the order increasing. A decrease in buffer time with the order increasing, however, still has a greater reduction effect on departure delay than arrival delay. Specific to the number of flights operated by an aircraft, the more flights an aircraft flies in a day, the more the on-time performance of those flights will suffer from the previous delay and buffer time generally.

The Best Practices in Delay and disruption analysis in Iraq’s construction sector

Delay and disturbance analysis (DD) is a significant cause of claims and conflicts in the Iraqi building industry, frequently resulting in time and expense overruns. The extent to which each contracting party is responsible for the postponed job execution and additional expenses incurred is often at the heart of the dispute. Various methodologies have been developed over time to answer this question. This research was undertaken using a mixed-method approach, which involved a detailed examination of the related literature first. Due to programming and record-keeping shortcomings, the primary finding is that DD testing methodologies with major defects in the literature were the most widely found in use. To encourage the use of more efficient methodologies that ensure greater efficiency, a scheme integrating best practice recommendations for promoting better record-keeping and programming practice has been established efficient claims settlement with fewer chances of conflicts.

Tracking Delay Analysis

Delays are a matter of fact in the majority of construction projects; accordingly, the field of forensic planning resulted in numerous delay methods being utilized. Implementing these methods has given rise to the major dispute of attributing an undocumented delay in the project schedule to a certain party. Despite previous research efforts, no established delay analysis technique sets a methodology while taking into account that some delays may exist that have not been identified or attributed. This paper aims to establish a step-by-step protocol for a delay analysis that would focus on merging two established techniques to fill the aforementioned gap while combining their recognized advantages. This paper demonstrates that adding one to the other would enhance the latter by properly identifying/attributing undocumented delays. Such takes place through a tracking process that utilizes the float path interface in Primavera P6 for an automated process. Through a case study demonstration, the proposed method shows promising results as opposed to applying the techniques individually.

Aging and Delay Analysis Based on Lyapunov Optimization and Martingale Theory

The age of information (AoI) is a key performance metric for data freshness in real-time systems, measuring the time elapsed between status updates received at a remote destination. This paper addresses the analysis of both the AoI and the delay for a system demanding timely status updates, consisting of an internet of things (IoT) community, and a multi-core edge computing node (EN). The IoT devices perform channel contention according to a slotted aloha non-orthogonal multiple access scheme with two transmission power levels to access the EN. The objective of the paper is the dynamic selection of both the EN computation capabilities and the suitable access probability for the two power levels, aiming at maximizing the time-average system utility, while guaranteeing the queues stability. The device end-to-end delay is analyzed by resorting to the martingale theoretical approximation under the condition that the Lyapunov optimization framework is performed on a time slot basis, hence leading to a novel instantaneous mixed integer problem formulation. Furthermore, the generalized benders decomposition method is employed to provide a suboptimal solution for the formulated problem. Finally, the accuracy of the proposed framework is validated by comparing the obtained analytical predictions with simulation results.

Risk Analysis of Delay in The Construction Project

The complex problems that existed during the Field Implementation in the SMP Negeri 1 Surabaya project at that time caused some work that was not as planned both in terms of time, quality and cost which resulted in overbudget and overtime. When experiencing overbudget and overtime, it is necessary to have good cost, quality and time management. Good management should not only be owned by the project owner. The length of time to complete the project has a big effect on the increase in the overall project cost. Therefore, daily, weekly and monthly progress reports are needed to report work results and completion times for each project work item. Furthermore, this work is compared with the completion time of the plan so that the completion time can be controlled for each period. This is because the construction of the building has a delay in time so that it can cause disruption in some field operations. The analysis that I have done is viewed from all of them (owner and contractor). This study uses the AHP (Analytical Hierarchy Process) research method because AHP is used to derive the ratio scale of several paired comparisons that are discrete or continuous. Other problems such as inconsistencies in planners, supervisors, executors, and other authorities in the field, namely lack of communication and late making decisions such as changes in design and changes in calculations that are in implementation and planning so that the project results in time and cost delays, and other problems. such as material calculations and others, there are also delays caused by delays in making decisions in implementation. Because of that, the project for the Public Junior High School 1 in Surabaya experienced delays in several jobs, namely the foundation, column, ladder, and beam work, which should have been done in 1-2 months to 3-4 months. In terms of implementation, such as lack of communication between planners, supervisors and implementers as well as other authorized officials, a good communication is needed. So that it does not cause so many problems and can reduce delays in terms of implementation in the field.

Analysis of construction delay for delivering quality project in Bangladesh

PurposeConstruction delay is the most common issue and creates many adverse effects in any construction industry. This study has investigated the views of engineers, project managers and contractors on the causes of delay during a construction phase to identify potential delay factors, negative effects on project delivery and prioritize the delay factors.Design/methodology/approachAn extensive literature review and interview with construction stakeholders have been conducted to identify potential causes of construction delays and design a questionnaire survey. The final questionnaire was designed with 40 potential delay factors, and a total of 102 valid Bangladeshi construction stakeholders responded to it. The result was analyzed by the relative importance index.FindingsAmong the 40 delay factors, the top five most influencing delay factors are “delay in progress payments,” “rework due to mistakes during construction,” “lack of skilled labor,” “poor monitoring and control of activities” and “delays in the making of a decision.” The top five most damaging effects of delay are “time overrun,” “cost overrun,” “disputes,” “arbitration” and “litigation,” among ten negative effects of construction delay. All construction stakeholders believe that the owner-related, consultant-related and contractor-related groups are the first, second and third most important groups of delay factors.Originality/valueThe outcome of this study would enable the Bangladeshi construction industry to develop strategies to overcome delay factors and their harmful effects. By focusing on the outcome of this research and prioritizing the critical factors, the construction industry of Bangladesh will be able to minimize construction delay significantly and propagate the progress of the construction industry by delivering quality projects timely.

To err is human: Exploratory multilevel analysis of supply chain delivery delays

ABSTRACTWe examine the impact of human errors by front‐line supply chain employees on delivery delays. We build on normal accident theory (NAT), a multilevel theory describing the relationship between a firm's latent conditions (systemic managerial, technology, and social factors) and human errors. Latent conditions can have the unintended consequence of intensifying the impact of a human error, thus, we hypothesize a moderating effect of latent conditions on the relationship between errors and delivery delays. Hypotheses are tested using archival shipment data provided by a Fortune 500 company and archival carrier violations data. A multilevel design, with 299,399 shipments (level 1) nested within 97 carriers (level 2), was tested using mixed effects regression modeling. The results indicated that both dispatcher and driver errors were related to the probability of a late delivery, and that dispatcher errors were associated with longer delays. The moderating effects of several carrier latent conditions were significant and positive, indicating that both types of errors were more strongly associated with the likelihood of late delivery and that dispatcher errors were associated with longer delays when moderated by carrier latent conditions. The results are discussed from the perspective of NAT and technology management, developing prescriptions, and suggesting opportunities for future research.

Cooperative routing in wireless multimedia sensor network with deep learning based decision making system

Wireless Multimedia Sensor Networks (WMSNs) provide great attention on various attractive applications and their scientific researches due to their potential impact. For the past few years, the most active area related to the research field is routing in WMSNs. Moreover, the multimedia data is transmitted based on the routing protocol for determining the efficient resources and stable path, and also provides different levels of Quality-of-Experience (QoE)/Quality-of-Service (QoS) assurance. Still, it is the difficult aspect based on the complicated operations of multimedia applications, dynamic changes of network condition and limited network resources. This paper intends to introduce a Deep Belief Network (DBN) oriented decision making system to select the suitable cooperative nodes. Moreover, constraints like (i) Tri-level energy consumption of nodes-Level 1: Low energy level for text information, Level 2: Medium energy level for text, image and video information, Level 3: High energy level for high definition pictures (ii) Reliability, and (iii) Delay are examined while transmitting the multimedia information in the network. To make the precise decision, it is planned to tune the optimal weight of DBN by a new hybrid Dragon Integrated Firefly (DIFF) algorithm that combines the concept of Firefly Optimization (FF) and Dragonfly Optimization (DA) algorithm. At last the performance of the adopted scheme is computed over other traditional schemes with respect to alive nodes, delay, residual energy, network lifetime and reliability analysis.

Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study

To explore the status of diagnostic delay and to clarify its potentially influencing factors in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional study was conducted in a Chinese tertiary hospital between July 2019 and February 2020. A total of 408 eligible outpatients with COPD were recruited, and relevant data were collected in the form of questionnaires. Diagnostic delay was compared among different characteristics using the Wilcoxon test and Kruskal–Wallis H test. Multivariable linear regression analysis was performed to determine the factors related to diagnostic delay. The median (interquartile range [IQR]) duration of diagnostic delay was 230 (50–720) days. The proportions of COPD patients who chose tertiary, secondary, and first-level hospitals for the first visit were 53.7%, 29.9%, and 16.4%, respectively. Additionally, the proportions of patients who underwent pulmonary function tests for the first visit in tertiary, secondary, and first-level hospitals were 74.0%, 24.6%, and 1.5% (p < 0.001), respectively. In terms of characteristics related to diagnostic delay, there was a significant difference in residence, resident manner, COPD assessment test (CAT) score, modified Medical British Research Council (mMRC) dyspnea scale, age, forced expiratory volume in one second (FEV1) % predicted, and years of education (all p < 0.01). Linear regression analysis showed that significant predictors of diagnostic delay included FEV1% predicted (p < 0.05), resident manner (p < 0.001), and years of education (p < 0.01). Our study indicates that varying degrees of diagnostic delay may exist in patients with COPD. Measures are needed to intervene in the potential factors associated with diagnostic delay.

Dynamic Power Consumption and Delay Analysis for Ultra-Low Power 2 to 1 Multiplexer Designs

This paper highlights a comparative analysis of eight diverse techniques for 2 to 1 multiplexer implementation. The functionality is identical but significant differences in dynamic power consumption and propagation delay are observed. This paper aims to enable the designer to pick out the best fit structure for a specific application in keeping with their design requirement. The multiplexers are designed at 90 nm technology node and simulated at a supply voltage of 1V.

Dispute of the Contracts: A Case from Sikta Irrigation Project, Banke, Nepal

Purpose: Government of Nepal (GoN) is implementing many small, medium and large type of Irrigation Projects. Sikta Irrigation Project (SIP) is the National Pride Project implemented by the GoN. The command area of the project has 42766.00 ha and beneficiary of the project have 46715 house hold consisting 449588 population of Banke district. The overall objective of the study is to assess the consequences of delay and dispute of the selected contracts of Sikta Irrigation Projecr, Banke , Nepal. Design/Methodology/Approach: Using secondary data of contract the mean planned duration is compared with mean actual duration to analyze delay analysis and Disputes of contract has been interpreted based on standards of contract using content analysis. Findings/Result: The mean planned duration of the contracts under the study is 17.42 month and mean actual time 32.28 month with standard deviation of 7.72 month and mean time variance is 13.46 month behind the schedule and mean time overrun is 14.85 month. Dispute resolution of only Papu costal JV has been analyzed. The contracts need to be rectified in terms of time by proper scheduling and resource leveling based local calendar. Hope the new amendments (PPMO 10th) of time extension will be helpful for timely completion of contracts. Originality/Value: It is an action research to enhance performance of Projects by avoiding Disputes. Paper Type: Analytical Policy Research

Analysis of the Intra-Platoon Message Delivery Delay in a Platoon of Vehicles

A platoon of connected and automated vehicles (CAVs) is one of the promising autonomous-driving applications. Vehicles in a platoon need timely delivery of road-safety information in order to alter their speeds in time and thus maintain the stability of the platoon. The intra-platoon message delivery delay is a critical metric that has a big impact on the maintenance of a platoon's stability. It depends on several system parameters, such as the number of vehicles in a platoon, the intra-platoon spacing, and the distribution of non-platoon vehicles. This paper studies the analysis of the intra-platoon message delivery delay in a platoon of CAVs moving on a highway road. A theoretical analytical model is derived to investigate the impacts of major system parameters on the intra-platoon message delivery delay. The derived analytical model considers a V2V hop-by-hop communication mode and takes into account the effects of both platoon and non-platoon vehicle nodes on channel access contention. The effect of hidden vehicle nodes is also considered. The derived analytical model is validated through simulation results and the impacts of major system parameters on the intra-platoon message delivery delay are investigated through numerical results. The derived analytical model can be used to provide reasonable reference values for system parameter setting in order to maintain the stability of an autonomous-driving platoon.

An analysis of multisource tropospheric hydrostatic delays and their implications for GPS/GLONASS PPP-based zenith tropospheric delay and height estimations

An analysis of multisource tropospheric hydrostatic delays and their implications for GPS/GLONASS PPP-based zenith tropospheric delay and height estimations

Dispute of the Contracts: A Case from Sikta Irrigation Project, Banke, Nepal

Purpose: Government of Nepal (GoN) is implementing many small, medium and large type of Irrigation Projects. Sikta Irrigation Project (SIP) is the National Pride Project implemented by the GoN. The command area of the project has 42766.00 ha and the beneficiary of the project have 46715 households consisting of 4,49,588 population of Banke district. The overall objective of the study is to assess the consequences of delay and dispute of the selected contracts of Sikta Irrigation Project, Banke, Nepal. Design/Methodology/Approach: Using secondary data of the contract the mean planned duration is compared with mean actual duration to analyze delay analysis and Disputes of the contract have been interpreted based on standards of contract using content analysis. Findings/Result: The mean planned duration of the contracts under the study is 17.42 months and mean actual time 32.28 months with a standard deviation of 7.72 months and meantime variance is 13.46 months behind the schedule and meantime overrun is 14.85 months. Dispute resolution of only Papu costal JV has been analyzed. The contracts need to be rectified in terms of time by proper scheduling and resource leveling based local calendar. Hope the new amendments (PPMO 10th) of time extension will be helpful for the timely completion of contracts. Originality/Value: Action research to enhance the performance of Projects by avoiding Disputes. Paper Type: Analytical Policy Research.

Power and delay analysis of different SRAM cell structures with different technology node

-Now adays Very Large-Scale Integration (VLSI) circuits have good or great demand. Because CMOS circuit design having less power consumption. Transistors on the chip is doubled every two years, according to Moore’s law. So, it means transistor size is decreasing. This leads to increase the chip density and decrease the device size. The write and read depending on the bitline and bitline bar discharging and charging. When design the memory in below 16 nm uses Fin Field effect Transistor (FinFET) technology instead of CMOS (Complementary metal oxide semiconductor field effect transistor). Because to avoid short channel effect. Comparing leakage power, dynamic power and static power at 90 nm technology and write delay, read delay at both 90 nm and 45 nm technology in nine transistors (9 t), eight transistor (8 t) and six transistor (6 t) sram cell.

Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study

Currently, there are still few studies on the tactical and contextual criteria that determine offensive success in women’s soccer. The objectives of this study were to discover contextual and tactical criteria that show an association with success in elite women’s soccer and to establish a multivariate predictive model for the offensive phase. For this, 2323 ball possessions were analyzed in FIFA Women’s World Cup 2019 via direct observation. In addition, eight semi-structured interviews were conducted with women’s soccer coaches and players. For direct observation, a bivariate analysis between the analysed criteria and possession’s outcome was suggested. Additionally, a multivariate predictive analysis was proposed via a decision tree method. To analyze the interviews, a sequential analysis of delays and polar coordinates analysis were carried out. It was established a multi-variant model of offensive success based on possession zone (middle offensive), initial offensive intention (progress) and start zone (preoffensive or offensive) criteria. The probability of offensive success was 75.2% interactively between those criteria. In addition, the analysis of the interviews allowed us to conclude that criteria related to technical–tactical performance, decision-making and physical capacities of the players will be decisive in increasing the probabilities of success.

In-Depth Analysis of Transport Delay on Cell Performance and Modeling Precision for All-Vanadium Flow Battery

The transport delay associated with fluid movement within the pipe inevitably exists in the piping system of a flow battery and this can impose a notable impact on battery design and operational performance. In this paper, comprehensive numerical all-vanadium flow battery models with and without transport delay are proposed on the basis of mass balance. Based on such models, the cell performance and prediction precision are evaluated for different cell designs and various operational conditions. The simulation results demonstrate that it is preferable to adopt a longer and thicker piping, a relatively high flow rate, a small electrolyte volume, a high electrolyte concentration, and an appropriate current density for flow battery design and operation. Furthermore, transport delay can be minimized for energy efficiency investigation and incorporated for electrolyte utilization analysis. Such in-depth studies can significantly help to optimize the cell design and operation management and effectively guide the establishment of the mathematical models for flow battery as well.