Planning for Project Schedule Management

2018 ◽  
pp. 155-197
Author(s):  
Paul Sanghera
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.


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.


2012 ◽  
Vol 594-597 ◽  
pp. 2976-2981
Author(s):  
Qing Lin Yi ◽  
Juan Juan Wu ◽  
Tian Fan Dai

The reliability of schedule management directly affects the project cost and quality. Time limit is the most important part in schedule management. The determination of reasonable time limit can save cost for investors, and ensure project quality .Based on this characteristic, this paper adopts utility curve to carry out risk analysis for risk factors, eliminates unreliable construction period and carries on fuzzy comprehensive evaluation for the rest of the possible period. Then it got scientific and reasonable time limit. The method can determine the construction period credibly and is used to guide engineering practical.


2019 ◽  
Vol 11 (6) ◽  
pp. 1613
Author(s):  
Daekyoung Yi ◽  
Eul-Bum Lee ◽  
Junyong Ahn

Korean oil and gas contractors have recently incurred significant losses due to improper engineering performance on EPC (engineering procurement and construction) projects in overseas markets. Several previous studies have verified the significant impact engineering has on EPC construction cost and project lifecycle. However, no literature has studied the time impact engineering has on EPC projects, representing a gap in the existing body of knowledge. To fill this gap, a Monte Carlo simulation was performed with the Pertmaster, Primavera risk analysis software for three sample onshore oil and gas projects. From said simulation of all major EPC critical activities, the authors found that the engineering phase is up to 10 times as impactful as the procurement and construction phases on the overall schedule duration. In assessing the engineering activities, the authors found the piping design activities to have the greatest impact on the overall schedule performance. Using these findings, the authors present a design schedule management process which minimizes the delays of project completion in EPC projects. Said process includes the following six steps: (1) Milestone management, (2) drawing status management, (3) productivity management of engineering, (4) interface management, (5) management of major vendor documents, and (6) work front management. The findings of this paper add to the body of knowledge by confirming the design phase to be the most impactful on the overall project schedule success. Furthermore, the presented design schedule management will aid industry with successfully executing the design phase in a timely manner, including examples from case study projects for a greater understanding.


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.


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