Analysis of Relationship between Construction Project Manager’s Characters and Project Schedule Performance Using MBTI Approach

2010 ◽  
Author(s):  
Yusuf Latief ◽  
Mohammad Ichsan ◽  
Devie Anggraeni Hadi
Keyword(s):  
Construction Project ◽  
Project Schedule ◽  
Schedule Performance

scholarly journals Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang
Keyword(s):  
Project Scheduling ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Engineering Application ◽  
Project Schedule ◽  
Scheduling Optimization ◽  
Implementation Method ◽  
Traditional Construction ◽  
Construction Project Scheduling

Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

scholarly journals Risk Level Assessment in Construction Projects Using the Schedule Performance Index

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Roberto Barbosa dos Santos ◽  
Antônio Edésio Jungles
Keyword(s):  
Performance Index ◽  
Risk Evaluation ◽  
Construction Projects ◽  
Construction Project ◽  
Risk Level ◽  
Limit Values ◽  
Strong Point ◽  
Efficient Management ◽  
Schedule Performance ◽  
Inferior Limit

Construction projects are risky in both physical implementation and management. The characteristics of the risk reinforce the necessity of efficient management to increase the chances of success without commitment to its goals. This study explores the correlation of delay and the schedule performance index (SPI) to evaluate the risk of a construction project completed with time overruns. The hypothesis that the SPI of projects with a delay is distinct from those projects without a delay is assumed. A database with 19 elements was used to test this hypothesis and to calculate limit values to the SPI. Therefore, the risk of delay will be small when the observed SPI is greater than the superior limit and large when the SPI is below the inferior limit. The simplicity involved in the calculation of these values showed an advantage in comparison with other methods of risk evaluation. Another strong point observed is that any company can determine the value of risk by considering its own history and support decisions like doing corrective actions.

Using issue logs to improve construction project performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirali Shalwani ◽  
Brian Lines
Keyword(s):  
Best Practice ◽  
Management Practices ◽  
Construction Project ◽  
Pairwise Comparison ◽  
Performance Outcomes ◽  
Project Performance ◽  
Project Teams ◽  
Project Schedule ◽  
Building Projects ◽  
Content Type

PurposeThe Project Management Body of Knowledge recommends the use of issue logs as a best practice to minimize the potential project cost and schedule growth. Although the broader topic of project control has been widely studied in the construction literature, the specific application of issue logs has remained relatively understudied. This study aims to analyze the extent and consistency with which construction teams utilize issue logs and the corresponding project performance outcomes.Design/methodology/approachA dataset of 5,635 individual issues was gathered from the final issue logs of 881 small building projects delivered via the design–bid–build method. Differences between groups were determined using the Kruskal–Wallis H test with post hoc testing via the Mann–Whitney U test with pairwise comparison.FindingsThe results showed that, on average, project teams who used issue logs to a greater extent achieved a 3.1 to 4.3% reduction in cost growth and a 5.3 to 12.3% reduction in schedule growth. This result shows that issue logs can be used to improve construction project performance in the areas of cost and schedule.Originality/valueThis result provides a contribution to practitioners, wherein project teams should be encouraged to establish their issue management practices early in the project schedule to encourage greater issue log usage for the remainder of the project.

scholarly journals Toward Reducing Construction Project Delivery Time under Limited Resources

2021 ◽  
Vol 13 (19) ◽  
pp. 11035
Author(s):  
Hossam H. Mohamed ◽  
Ahmed H. Ibrahim ◽  
Asmaa A. Soliman
Keyword(s):  
Construction Projects ◽  
Resource Constraints ◽  
Optimization Problems ◽  
Cost Optimization ◽  
Construction Project ◽  
Limited Resource ◽  
Project Managers ◽  
Project Schedule ◽  
Java Program ◽  
Optimizing Model

One of the most vital construction project aspects is to complete a project in minimum time restricted to the time–cost trade-off. Overlapping activities’ planning and their impact on the project under limited resource constraints should be considered. This study aims to develop a model for optimizing the project schedule and cost regarding overlap activities and their impacts. This study reviews previous studies on changes in past activities likely to produce additional reworking of subsequent activities. In addition, an AHP model is developed to assess the reworking time of subsequent activities based on possible changes in previous activities. In addition, five realistic construction projects are applied. Finally, an optimizing model is developed for optimizing project time and cost using overlapping techniques by using the Java program. The results indicate that the proposed model can be used by project managers easily for solving time and cost optimization problems. In addition, it can be updated to continuously improve its functionality. Finally, it can be updated later to support AI for finding better solutions.

scholarly journals An Investigation into the Use of Laney U Chart as a Visual Schedule Tracker to Graphically Monitor the Schedule Performance Index

2020 ◽  
Vol 10 (1) ◽  
pp. 35-41
Author(s):  
Jayet Moon
Keyword(s):  
Performance Index ◽  
Control Charts ◽  
Value Management ◽  
Project Schedule ◽  
Earned Value ◽  
Earned Value Management ◽  
Cost Performance ◽  
Schedule Risk ◽  
Schedule Performance ◽  
Visual Schedule

AbstractThe intent of this article is to explore a mathematically sound method to graphically monitor schedule performance index (SPI) such that it enables the project manager to take objective data based decisions regarding the progress of the project schedule. The article aims to leverage the theory and application of control charts, specifically the U chart and Laney U chart and test its applicability to earned value management by trending schedule performance index on a time series chart. Off the shelf software, MinitabTM was used to generate the control charts based on earned value and planned value. While this paper proves that the Laney U chart, with correct interpretation, acts as an effective trigger-based tool for schedule risk management, it also generates further avenues for research into similar use of control charts for cost performance and other quality indices.

scholarly journals SCIENTOMETRIC REVIEW OF CONSTRUCTION PROJECT SCHEDULE STUDIES: TRENDS, GAPS AND POTENTIAL RESEARCH AREAS

2020 ◽  
Vol 26 (4) ◽  
pp. 343-363
Author(s):  
Gebrehana Derbe ◽  
Yashuai Li ◽  
Di Wu ◽  
Qiuhong Zhao
Keyword(s):  
Performance Management ◽  
Construction Projects ◽  
Construction Project ◽  
Future Research ◽  
Scientometric Analysis ◽  
Project Schedule ◽  
Document Type ◽  
Research Areas ◽  
Future Potential ◽  
Abstract Content

Scheduling plays a fundamental role in construction projects’ success and thus has drawn attention from both academic researchers and industry practitioners. A large number of research articles tend to solve emerging challenges in construction project schedule (CPS). Therefore, there is a strong need of systematic review on existing studies. In this study, a total of 332 articles were retrieved from Scopus database using title, abstract and keywords with respect to CPS and filtered by document type, language type and abstract content. In particular, science mapping approach was adopted to analyse selected journal articles. These articles were examined using three sequential processes, including bibliometric search, scientometric analysis, and in-depth qualitative discussion. It could demonstrate the most influential journals, researchers, published articles, and active countries/regions in this area. In addition, major CPS knowledge areas were identified and summarized as CPS constructability, applications of variety of CPS methods, CPS optimization models and algorithms, identification and quantification of schedule risks and uncertainties, CPS performance management, and adopting new emerging CPS technologies and methods. Furthermore, knowledge gaps and future potential research directions were also discussed in detail. Finally, a comprehensive CPS framework was proposed as a sound reference in future research.

scholarly journals The possibility of applying the program evaluation and review technique for construction project schedule management

2020 ◽  
Vol 17 (4) ◽  
pp. 115-121
Author(s):  
S. V. Bovteev ◽  
◽  
A. V. Mishakova ◽  
Keyword(s):  
Program Evaluation ◽  
Construction Project ◽  
Control Points ◽  
Project Schedule ◽  
Schedule Management ◽  
Work Duration ◽  
Key Events ◽  
And Control ◽  
High Degree ◽  
Probabilistic Nature

The program evaluation and review technique (PERT) was developed and first used more than sixty years ago and is now well known. This technique allows taking into account the probabilistic nature of the work duration, so it is used for scheduling projects, where the duration of all or some of the works can not be clearly determined due to the high degree of uncertainty of the external environment in which such projects are carried out. However, the problem of controlling the terms of project activities and key events of the project based on the program evaluation and review technique has not been studied well enough. This article investigates the possibilities of applying the program evaluation and review technique to track and control the construction project schedule. An algorithm for using this method to predict the probability of timely occurrence of control points and completion of the entire project is presented.

scholarly journals Using meta-networks to analyse the impact of adverse random events on the time and cost of completing

2019 ◽  
Vol 28 (2) ◽  
pp. 192-202
Author(s):  
Grzegorz Śladowski
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Dynamic Network ◽  
Single Mode ◽  
Project Schedule ◽  
Material Resources ◽  
Simulation Based ◽  
Random Events ◽  
Risk Sources ◽  
The Impact

According to the concept of a system-based approach, a construction project can be treated as a complex system composed of various elements, such as human, equipment and material resources, as well as knowledge and tasks that are mutually interlinked. In the classical approach to construction project risk assessment, the impact of the “system” in the analysis of relationships between risk sources and their consequences has so far been neglected. The concept of construction project vulnerability and its adaptability has appeared in literature in recent years. It is analysed on the basis of a project’s vulnerability to the impact of risk factors and its adaptive capacity is seen an answer to project perturbations caused by adverse random events. As a part of developing the system-based approach to analysing construction project schedule, the author further developed the concept of modelling planned construction projects with relationship meta-networks composed of four types of nodes: agents (human resources), knowledge, equipment and material resources and tasks. The author included possible deviations from the planned project’s budget in the schedule vulnerability and adaptability analysis, instead of only focusing on deviations from its completion deadline. An analysis of the occurrence of additional and replacement work was introduced by the author, which further developed the concept of the simulated evolution of such networks to include the capacity to introduce new nodes and links into their structure. Furthermore, the author used the potential of weighted meta-networks to model certain dependencies within the planned project. A simulation-based approach as a part of DNA (dynamic network analysis) was used to analyse the vulnerability and adaptability of such networks. The proposed approach was presented on the example of a renovation project performed on a historical structure. The conclusions drawn from the author’s analyses can be used to formulate construction project schedules that are less vulnerable to perturbations and are characterised by greater adaptability. In the future, the author plans to expand the analysis presented above to include dependencies in single-mode networks (e.g. in agent, resource or knowledge networks) on the meta-network of a project.

scholarly journals Beta Distribution for Estimating Risk Associated Time Schedule of Hydropower Projects in Nepal

2021 ◽  
pp. 67-78
Author(s):  
Kiran Kumar Shrestha ◽  
Rabindra Kayastha
Keyword(s):  
Quantitative Analysis ◽  
Construction Projects ◽  
Construction Project ◽  
Simulation Method ◽  
Development Project ◽  
Project Work ◽  
Time Schedule ◽  
Project Schedule ◽  
Expected Time ◽  
Hydropower Construction

Background: Risk is associated with every kind of project work whether it is related to engineering construction project, software development project, financial transaction process or business process. There isn't any project which is free of risks. It is inherent in all types of projects. Observing risk associated with a project can help in successful completion of projects in expected time and expected cost with good assurance of quality. This article is concerned with quantitative analysis of risks coined with hydropower construction project in Nepal. Objective: The main objective of this paper is (a) to identify different activities involved in hydropower construction projects (b) to estimate risk associated time schedule of the identified project activities. Materials and Methods: Data required for the fulfillment of the objective are obtained by interview and discussion with executives of “Shiva Shree Hydropower Limited” and by using project schedule charts of projects won by the company. In this article quantitative analysis of schedule risk of hydropower project is studied by simulation method. Results: Different activities involved in hydropower construction project are identified. Also, risk associated with time schedule of project are observed quantitatively by simulation using beta-PERT distribution. Conclusion: Estimation of time schedule associated with project activities is more realistic when it is analyzed by using beta-PERT distribution compared to other statistical distributions.

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