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

Author(s):  
S. V. Bovteev ◽  
◽  
A. V. Mishakova ◽  

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.

2013 ◽  
Vol 380-384 ◽  
pp. 4604-4608
Author(s):  
Hong Lv ◽  
Long Han Zhang ◽  
Shi Wei Xu

Project schedule control is one of the important control goals in project management. It is an important measure to ensure that the project is completed safely, reasonable arrangements for the resources supply and saving cost. Any of the projects must be by means of scientific planning and control methods in order to achieve the desired goals. Deviation analysis is an ongoing work in the progress of project, how to determine the deviation of project timely and accurately, the method that used is crucial. This paper chose a highway construction project as research object, using the Inspection Acts include Gantt chart, S-shaped curve and Banana-shaped curve of schedule, and made the comparative analysis for project to identify deviations and take measures to adjust in order to ensure the project is completed on schedule.


2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang

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.


2019 ◽  
Vol 11 (24) ◽  
pp. 7229
Author(s):  
Guofeng Ma ◽  
Jianyao Jia ◽  
Tiancheng Zhu ◽  
Shan Jiang

In order to overcome the difficulty in quantifying rework by traditional project schedule management tools, this study proposes an innovative method, namely improved Critical Chain Design Structure Matrix (ICCDSM). From the perspective of information flow, the authors firstly make assumptions on activity parameters and interactions between activities. After that, a genetic algorithm is employed to reorder the activity sequence, and a banding algorithm with consideration of resource constraints is used to identify concurrent activities. Then potential criticality is proposed to measure the importance of each activity, and the rework impact area is implicated to indicate potential rework windows. Next, two methods for calculating project buffer are employed. A simulation methodology is used to verify the proposed method. The simulation results illustrate that the ICCDSM method is capable of quantifying and visualizing rework and its impact, decreases iterations, and improves the completion probability. In this vein, this study provides a novel framework for rework management, which offers some insights for researchers and managers.


2014 ◽  
Vol 46 (3) ◽  
pp. 400-410 ◽  
Author(s):  
Hitesh Patel ◽  
Ataur Rahman

In rainfall–runoff modeling, Design Event Approach is widely adopted in practice, which assumes that the rainfall depth of a given annual exceedance probability (AEP), can be converted to a flood peak of the same AEP by assuming a representative fixed value for the other model inputs/parameters such as temporal pattern, losses and storage-delay parameter of the runoff routing model. This paper presents a case study which applies Monte Carlo simulation technique (MCST) to assess the probabilistic nature of the storage delay parameter (kc) of the RORB model for the Cooper's Creek catchment in New South Wales, Australia. It has been found that the values of kc exhibit a high degree of variability, and different sets of plausible values of kc result in quite different flood peak estimates. It has been shown that a stochastic kc in the MCST provides more accurate design flood estimates than a fixed representative value of kc. The method presented in this study can be adapted to other catchments/countries to derive more accurate design flood estimates, in particular for important flood study projects, which require a sensitivity analysis to investigate the impacts of parameter uncertainty on design flood estimates.


2013 ◽  
Vol 791-793 ◽  
pp. 1423-1426
Author(s):  
Hai Min Wei ◽  
Rong Guang Liu

Project schedule management is the management to each stage of the degree of progress and project final deadline in the project implementation process. Its purpose is to ensure that the project can meet the time constraints under the premise of achieving its overall objectives.When the progress of schedule found deviation in the process of schedule management ,the progress of the plan which have be advanced previously need to adjust.This article mainly discussed to solve the following two questions:establish the schedule optimization model by using the method of linear;discuss the particle swarm optimization (PSO) algorithm and its parameters which have effect on the algorithm:Particle swarm optimization (PSO) algorithm is presented in the time limited project and the application of a cost optimization.


2021 ◽  
pp. bmjmilitary-2020-001661
Author(s):  
Jason Judkins ◽  
B Moore ◽  
E Stone ◽  
A Welsh ◽  
G Carbon ◽  
...  

BackgroundThe purpose was to describe an activity-based psychological hardiness training programme delivered by an occupational therapist and examine its acceptability and effectiveness in improving hardiness.MethodParticipants (N=28) completed the 6-hour programme, which included pre/post-programme completion of the Dispositional Resilience Scale-15 (DRS-15) and a Program Evaluation Form. Paired t-tests were used to determine differences between pre-training and post-training scores on the DRS-15.ResultsResults showed a significant increase (p<0.05) in total hardiness, commitment, and control scores on the DRS-15 from pre-training to post-training and good–excellent ratings for all categories on the Program Evaluation Form.ConclusionsThis programme evaluation described an occupational therapist’s role in providing an activity-based psychological hardiness training programme and provided preliminary support for the acceptability of an activity-based approach to training psychological hardiness for service members.


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